BEGIN:VCALENDAR VERSION:2.0 PRODID:-//128.220.51.134//NONSGML kigkonsult.se iCalcreator 2.26.9// CALSCALE:GREGORIAN METHOD:PUBLISH X-FROM-URL:https://dataservices.library.jhu.edu X-WR-TIMEZONE:America/New_York BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:STANDARD DTSTART:20231105T020000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RDATE:20241103T020000 TZNAME:EST END:STANDARD BEGIN:DAYLIGHT DTSTART:20240310T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RDATE:20250309T020000 TZNAME:EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:ai1ec-981@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:GIS &\; Mapping CONTACT: DESCRIPTION:This JHU Data Services half-day course introduces students to A rcGIS Pro\, the most widely used geographic information systems (GIS) soft ware. Learn the basics which include how to work with spatial data and how to create maps. If your research calls for making maps or using a geograp hic information system to analyze data\, then this class is for you. \nReg istration link: https://jhu.libcal.com/event/7498668 DTSTART;TZID=America/New_York:20210329T130000 DTEND;TZID=America/New_York:20210329T160000 SEQUENCE:0 SUMMARY:(Webinar) Introduction to ArcGIS: using ArcGIS Pro URL:https://dataservices.library.jhu.edu/event/webinar-introduction-to-arcg is-using-arcgis-pro/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n
\\nThis JHU Data Services half-day course introduces studen ts to ArcGIS Pro\, the most widely used geographic information systems (GI S) software. Learn the basics which include how to work with spatial data and how to create maps. If your research calls for making maps or using a geographic information system to analyze data\, then this class is for you .
\nRegistration link: https://jhu.libcal.com/event/7498668
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-982@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Data Cleaning\, Manipulation and Visualization CONTACT: DESCRIPTION:Prerequisite: Introduction to R for Absolute Beginners or some experience using R. The dplyr package is a popular R package that people o ften use to manipulate and join datasets. You will need to have either som e basic knowledge about using R or have previously attended our Introducti on to R for Absolute Beginners workshop in order to take this one. Join JH U Data Services for this workshop and you will learn to use several functi ons\, including mutate()\, filter()\, select()\, summarize() and group_by( )\, in dplyr to manipulate data for the first half of the workshop. For th e second part of this workshop\, you will learn the join functions (e.g. l eft_join()\, right_join()\, inner_join()\, semi_join()\, anti_join()\, ful l_join()\, bind_rows() and bind_cols()) and set operations (e.g. union()\, intersect() and setdiff()) in dplyr to combine two datasets. You will hav e plenty of opportunities to do hands-on activities on your laptop and wor k on datasets provided by instructors. \nRegistration link: https://jhu.li bcal.com/event/7498676 DTSTART;TZID=America/New_York:20210331T130000 DTEND;TZID=America/New_York:20210331T150000 SEQUENCE:0 SUMMARY:(Webinar) Manipulating and Joining Data in R with dplyr URL:https://dataservices.library.jhu.edu/event/webinar-manipulating-and-joi ning-data-in-r-with-dplyr-2/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nPrerequisite:
Introduction to R for Absolute Beginners or some experience using R. <
/span>The dplyr packa
ge is a popular R package that people often use to manipulate and join dat
asets. You will need to have either some basic knowledge about using R or
have previously attended our Introduction to R for Absolute Beginners work
shop in order to take this one. Join JHU Data Servi
ces for this workshop and you will learn to use several functions\,
including mutate()\, filter()\, select()\, summarize() and group_by()\, in dplyr to manipulate data for the first half of the workshop. For the secon
d part of this workshop\, you will learn the join functions (e.g. left_join
Registration link: < a class='Hyperlink SCXW35049614 BCX0' href='https://jhu.libcal.com/event/7 498676' target='_blank' rel='noreferrer noopener'>https://jhu.libcal.com/event/7498676
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-983@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:GIS &\; Mapping CONTACT: DESCRIPTION:Students will turn their work into a great story using the ArcG IS StoryMaps web app. StoryMaps allows a user to create an interactive we b presence for their research materials without knowing any HTML\, CSS\, o r Javascript. In this hands-on session with JHU Data Services\, you’ll in tegrate maps\, text\, and scanned images. You’ll have the opportunity to share your resulting StoryMap with any group or individual you choose or k eep it to yourself for later work. No previous experience required.\nRegis tration link: https://jhu.libcal.com/event/7498678 DTSTART;TZID=America/New_York:20210406T140000 DTEND;TZID=America/New_York:20210406T160000 SEQUENCE:0 SUMMARY:(Webinar) Bring Your Research Alive With StoryMaps: Beginners URL:https://dataservices.library.jhu.edu/event/webinar-bring-your-research- alive-with-storymaps-beginners-2/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nStudents will turn the ir work into a great story using the ArcGIS StoryMaps web app. StoryMaps allows a user to create an interactive web prese nce for their research materials without knowing any HTML\, CSS\, or Javascript. In this hands-on session with JHU Data Services\, you’ll integrate maps\, text\ , and scanned images. You’ll have the opportunity to share your resulting StoryMap with any group or individual you choose or keep it to yourse lf for later work. No previous experience required.
\nRegistrat ion link: https://jhu.libcal.com/event/74986 78
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-984@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Data Cleaning\, Manipulation and Visualization CONTACT: DESCRIPTION:Prerequisite: Introduction to R for Absolute Beginners or some experience using R. You’ve cleaned and analyzed your data\, now learn how to visualize it. Visualizing data is critical for both understanding the meaning and patterns hidden in your data\, and communicating it to an audi ence. This workshop by JHU Data Services serves as an introduction to usin g R’s data visualization tools and techniques. In this hands-on session\, we’ll cover design concepts of data visualization and popular R packages\, before diving into creating data visualizations for a prepared dataset us ing base R and ggplot2. Some prior experience in R is required. \nRegistr ation link: https://jhu.libcal.com/event/7498682 DTSTART;TZID=America/New_York:20210407T093000 DTEND;TZID=America/New_York:20210407T123000 SEQUENCE:0 SUMMARY:(Webinar) Data Visualization in R URL:https://dataservices.library.jhu.edu/event/webinar-data-visualization-i n-r%e2%80%af/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nPrerequisite: Introduction t
o R for Absolute Beginners or some experience using R. You’ve clea
ned and analyzed your data\, now learn how to visualize it. Visualizing da
ta is critical for both understanding the meaning and patterns hidden in y
our data\, and
Registration
link:
https://jhu.libcal.com/event/7498682
Prerequisite: Bringing
Your Research Alive Through Story Telling: StoryMaps for Beginners or some experience using StoryMaps. Students will turn their work into a great story usi
ng the ArcGIS StoryMaps web app.
StoryMaps allows a user to create an interactive web presence
for their research materials without knowing any HTML\, CSS\, or
span>Javascript. In this hands-on session with
JHU Data Services\, you’ll learn some advanced featur
es for presenting your maps\, text\, and scanned images through express ma
ps\, a guided map tour\, an explorer map tour\, and a custom theme builder
. You’ll have the opportunity to share your resulting StoryMap with any group or individual you ch
oose\, including through a StoryMaps
Registration link:
With funders and publishers increasingly asking researchers to share data\, protecting the privacy of research par ticipants and patients is particularly challenging. Join JHU Data Services for an overview of common privacy disclosure risks from personal and health i dentifiers in data. We discuss how to comply with IRB and HIPAA guidance f or data security within the research team and introduce techniques for de- identifying data shared with external collaborators and public databases.< /span>
\nRegist ration link: https://jhu.libcal.com/event/7498115
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-987@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:GIS &\; Mapping CONTACT: DESCRIPTION:This workshop will be hands on using ArcGIS Online but students will be provided with directions as to how to do both joining and geocodi ng using ArcGIS Pro. Students will learn the concepts required to perform successful joining of data and geocoding along with tips and suggestions for preparing data for use with ArcGIS. Common file formats will be discus sed\, (e.g. Excel\, .csv)\, along with text files and data with x\, y coor dinates. We’ll explore street files available from the library along with optional interfaces for the geocoding process. Prior experience with ArcGI S Online or ArcGIS Pro will help a student navigate the interface but is n ot required. \nRegistration link: https://jhu.libcal.com/event/7498813 DTSTART;TZID=America/New_York:20210413T140000 DTEND;TZID=America/New_York:20210413T160000 SEQUENCE:0 SUMMARY:(Webinar) Joining & Geocoding in ArcGIS Online URL:https://dataservices.library.jhu.edu/event/webinar-joining-%e2%80%afgeo coding%e2%80%afin-arcgis-online/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nThis workshop will be hands on using ArcGIS Online but students will be provided with directions as to how to do both joining and geocoding using ArcGIS Pro. Students wi ll learn the concepts required to perform successful joining of data and g eocoding along with tips and suggestions for preparing data for use with A rcGIS. Common file formats will be discussed\, (e.g. Excel\, .csv)\, along wit h text files and data with x\, y coordinates. We’ll explore street files a vailable from the library along with optional interfaces for the geocoding process. Prior experience with ArcGIS Online or ArcGIS Pro will help a st udent navigate the interface but is not required.
\nRegistration link: ht tps://jhu.libcal.com/event/7498813
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-988@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Data Cleaning\, Manipulation and Visualization CONTACT: DESCRIPTION:Python is a popular programming language that is used for data management and analysis\, web development\, software development\, machine learning and artificial intelligence. Although we will not be going quit e that deep in this introduction\, this JHU Data Services workshop will pr ovide users with the fundamentals necessary to get started using Python. T his workshop is heavily hands-on and will have users feeling comfortable c oding and confident enough to leap from beginner to intermediate and beyon d in no time. Students should expect to: instruct the computer to accompl ish tasks\, use variables to contain content\, learn new Python vocabulary \, write and run calculations\, and conduct overall data analysis/manipula tion using Python’s base functionality. \nRegistration link: https://jhu.l ibcal.com/event/7499269 DTSTART;TZID=America/New_York:20210415T163000 DTEND;TZID=America/New_York:20210415T190000 SEQUENCE:0 SUMMARY:(Webinar) Introduction to Python for Absolute Beginners URL:https://dataservices.library.jhu.edu/event/webinar-introduction-to-pyth on-for-absolute-beginners-3/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nPython is a popular prog ramming language that is used for data management and analysis\, web devel opment\, software development\, machine learning and artificial intelligen ce. Although we will not be going quite that deep in this introduction\, this < /span>JHU Data Services workshop will provide users with the fundamentals necessary to get started using Python. This worksho p is heavily hands-on and will have users feeling comfortable coding and c onfident enough to leap from beginner to intermediate and beyond in no tim e. Students should expect to: instruct the computer to accomplish tasks\, use variables to contain content\, learn new Python vocabulary\, write an d run calculations\, and conduct overall data analysis/manipulation using Python’s base functionality. span>
\nRegistration link: https://jhu.libcal.com/ev ent/7499269
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-989@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Data Cleaning\, Manipulation and Visualization CONTACT: DESCRIPTION:Prerequisite: Data Visualization in R or moderate experience us ing R. Are you interested in exploring and understanding your data? Would you like to communicate your R analysis in an easy to use\, interactive w ay? Shiny is an R package that makes it simple to build and share web appl ications for the purpose of visualizing and communicating your data intera ctively. Join JHU Data Services for a workshop introducing the Shiny packa ge in R for developing and sharing interactive data visualizations. In thi s two-part hands-on session\, we’ll cover design concepts of interactive d ata visualizations and build a Shiny web app from scratch using a prepared dataset. Some prior experience in R is required. \nRegistration link: h ttps://jhu.libcal.com/event/7478089 DTSTART;TZID=America/New_York:20210421T093000 DTEND;TZID=America/New_York:20210421T123000 SEQUENCE:0 SUMMARY:(Webinar) Interactive Data Visualization in R with Shiny (Two-day\, 3-hr sections) URL:https://dataservices.library.jhu.edu/event/webinar-interactive%e2%80%af data-visualization-in-r%e2%80%afwith-shiny%e2%80%aftwo-day-3-hr-sections%e 2%80%af-2/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nPrerequisite: Data Visualization in R or moderate experience using R. Are you interested in exploring and understanding your data? Would you like to communicate your R analysis in an easy to us e\, interactive way? Shiny is an R package that makes it simple to build a nd share web applications for the purpose of visualizing and communicating your data interactively. Join JHU Data Services for a workshop introducing the Shiny p ackage in R for developing and sharing interactive data visualizations. In this two-part hands-on session\, we’ll cover design concepts of interacti ve data visualizations and build a Shiny web app from scratch using a prep ared dataset. Some prior experience in R is required.
\nRegistration link: https://jhu.libcal.com/event/7478089
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-990@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Data Cleaning\, Manipulation and Visualization CONTACT: DESCRIPTION:Do you work with data in spreadsheets? Are you tired of editing spreadsheets cell-by-cell to clean your data? This JHU Data Services work shop will teach you how to clean and standardize your data efficiently and reproducibly using OpenRefine. OpenRefine is a free\, open source tool wi th a graphical user interface (GUI) to clean and organize data – no coding required! This workshop will start with an overview of OpenRefine and wha t it means to have “clean” data. Instructors will provide a dataset and le ad a hands-on tutorial to show common data cleaning steps in OpenRefine. T he workshop will focus on cleaning text-based spreadsheets to prepare data for further analysis.\nRegistration link: https://jhu.libcal.com/event/74 99376 DTSTART;TZID=America/New_York:20210421T130000 DTEND;TZID=America/New_York:20210421T153000 SEQUENCE:0 SUMMARY:(Webinar) Data Cleaning in OpenRefine URL:https://dataservices.library.jhu.edu/event/webinar-data-cleaning-in%e2% 80%afopenrefine%e2%80%af/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nDo you work with data in spreadsheets? Are you tired of editing spreadsheets cell-by-cell to clean your data? This JHU Data Services workshop will teach you how to clean and standardize your data efficiently and repr oducibly using OpenRefine. Open Refine is a free\, span>open source tool with a graphical user interface (GUI) to clean and organize data – no coding required! This workshop will start with an overview of OpenRefine span> and what it means to h ave “clean” data. Instructors will provide a dataset and lead a hands-on t utorial to show common data cleaning steps in OpenRefine . The workshop will f ocus on cleaning text-based spreadsheets to prepare data for further analy sis.
\nRegistration link: https:/ /jhu.libcal.com/event/7499376
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-991@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:GIS &\; Mapping CONTACT: DESCRIPTION:Attendees will learn how to search\, find\, and share geographi c content using Johns Hopkins ArcGIS Online Organization account. This JHU Data Services class will provide the fundamental skills necessary to crea te\, design\, and share web maps\, as well as use some of the various geop rocessing tools currently offered via the online application. \nRegistrati on link: https://jhu.libcal.com/event/7499381 DTSTART;TZID=America/New_York:20210427T160000 DTEND;TZID=America/New_York:20210427T180000 SEQUENCE:0 SUMMARY:(Webinar) Web Mapping: An Introduction to ArcGIS Online URL:https://dataservices.library.jhu.edu/event/webinar-web-mapping-an-intro duction-to-arcgis-online-2/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nAttendees will learn h ow to search\, find\, and share geographic content using Johns Hopkins Arc GIS Online Organization account. This JHU Data S ervices class will provide the fundamental skills necessary to cr eate\, design\, and share web maps\, as well as use some of the various ge oprocessing tools currently offered via the online application.
\nRegistration link:
https://jhu.libcal.com/event/7499381
Prerequisites: S ome programming experience recommended (beginner level\, preferably but no t limited to R or Python) for the Jupyter Notebooks\, RMarkdown and Git/Gi tHub sessions.
\n< p>What is reproducible research and how can I m ake my research and code reproducible? In this one-day workshop with JHU D ata Services\, learn how open tools like R Markdown\, Jupyter Notebooks\, Git and GitHub can help make your research reproducible. Join JHU Data Services for this full-day workshop a bout concepts and tools for doing reproducible research. This workshop wil l be split into four separate interactive sessions: “Introduction to Repro ducible Research\,” “Getting Started with Jupyter Notebooks\,” “Getting St arted with RMarkdown” and “Version Control: Using Git and GitHub.” Session s are run independently of each other. You may attend all sessions or only those that fit your interests. \n\n
9:30- 10:30am: Introduction to Reproducible Research (Required) p>\n
A brief introduction to reproducible res earch. What is reproducible research? Why is it important? This session pr ovides several good and not so good examples of reproducible research. We also provide several tips and useful resources for you to start making you r research more reproducible.
\n\n
You are al ready writing comments for your Python code so you may be wondering why yo u need to document code with a Notebook tool\, such as Jupyter Notebooks . Notebook tools help you document and share yo ur work with fellow Python coders\, non-coders or non-Python coders. This workshop will teach you the basics of using Jupyter Notebooks and will foc us on the features of Jupyter Notebooks that help you create reproducible research and code for technical and non-technical audiences. Many Python u sers choose to document and share code with Jupyter Notebooks\, but this t ool can also be used with other programming languages\, including Julia an d R. You can find examples of Jupyter Notebooks here.
\n\n
1:30-3:00pm: Getting Started with RMarkdown (Optional)
span>
You are already writing comments
for your R code so you may be wondering why you need to document code with
a Notebook tool\, such as RMarkdown. You can find several RMarkdown examples here
\n
3:30-5:00pm: V ersion Control: Using Git and GitHub (Optional)
\n\n
Register once here for access to all four sessions: https://jhu.li bcal.com/event/7499496
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-995@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Data Cleaning\, Manipulation and Visualization CONTACT: DESCRIPTION:Python is a popular programming language that is used for data management and analysis\, web development\, software development\, machine learning and artificial intelligence. Although we will not be going quit e that deep in this introduction\, this JHU Data Services workshop will pr ovide users with the fundamentals necessary to get started using Python. T his workshop is heavily hands-on and will have users feeling comfortable c oding and confident enough to leap from beginner to intermediate and beyon d in no time. Students should expect to: instruct the computer to accompl ish tasks\, use variables to contain content\, learn new Python vocabulary \, write and run calculations\, and conduct overall data analysis/manipula tion using Python’s base functionality. \nRegistration link: https://jhu.l ibcal.com/event/7499496 DTSTART;TZID=America/New_York:20210518T130000 DTEND;TZID=America/New_York:20210518T153000 SEQUENCE:0 SUMMARY:(Webinar) Introduction to Python for Absolute Beginners URL:https://dataservices.library.jhu.edu/event/webinar-introduction-to-pyth on-for-absolute-beginners-4/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nPython is a popular pr
ogramming language that is used for data management and analysis\, web dev
elopment\, software development\, machine learning and artificial intellig
ence. Although we will not be going quite that deep in this introduction\
, this
Registration link: https://jh u.libcal.com/event/7499496
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-993@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Research Data Management and Sharing CONTACT: DESCRIPTION:Data management plans (DMPs) are increasingly required in the g rant proposal process\, particularly for research funding from federal age ncies. In this 1-hour workshop with JHU Data Services\, learn how the free \, online DMPTool (https://dmptool.org/) can help you organize your data m anagement plan and tailor plans to your funder’s requirements. We will dis cuss the main components of an effective data management plan\, how JHU Da ta Services can help with DMPs\, and provide a hands-on tutorial of using DMPTool to create and share your plans. This workshop is aimed at faculty\ , postdoctoral researchers and graduate students from all disciplines. Lea rn more about JHU Data Services and our DMP consultations at https://datas ervices.library.jhu.edu/consulting/. \nRegistration link: https://jhu.libc al.com/event/7499511 DTSTART;TZID=America/New_York:20210519T170000 DTEND;TZID=America/New_York:20210519T180000 SEQUENCE:0 SUMMARY:(Webinar) Writing Data Management Plans with DMPTool URL:https://dataservices.library.jhu.edu/event/webinar-writing-data-managem ent-plans-with%e2%80%afdmptool/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nData management plans
(DMPs) are increasingly required in the grant proposal process\, particula
rly for research funding from federal agencies. In this 1-hour workshop wi
th
Registration link: https://jhu.libcal .com/event/7499511 < /span>
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-994@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Research Data Management and Sharing CONTACT: DESCRIPTION:Effective data management can increase the pace of the research process\, contribute to the soundness of research results\, and meet fund ing agency requirements by making research data easy to share. Join JHU D ata Services for an overview of best practices including backup procedures \, tips on effective file names\, data security and access controls\, and data documentation/metadata. This seminar is for faculty\, postdoctoral re searchers and graduate students from all disciplines. This course does not focus on creating or using any particular data collection or analysis too l (e.g. REDCap\, SPSS)\, but discusses data management at a general level. \nRegistration link: https://jhu.libcal.com/event/7499519 DTSTART;TZID=America/New_York:20210525T130000 DTEND;TZID=America/New_York:20210525T143000 SEQUENCE:0 SUMMARY:(Webinar) Best Practices for Data Management and Sharing URL:https://dataservices.library.jhu.edu/event/webinar-best-practices-for-d ata-management-and-sharing/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nEffective data managem
ent can increase the pace of the research process\, contribute to the soun
dness of research results\, and meet funding agency requirements by making
research data easy to share. Join JHU Data Ser
vices for an overview of best practices including backup procedur
es\, tips on effective file names\, data security and access controls\, an
d data documentation/metadata. This seminar is for faculty\, postdoctoral
researchers and graduate students from all disciplines. This course does n
ot focus on creating or using any particular data collection or analysis tool (
Registration link: https://jhu.libcal.c om/event/7499519
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1275@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Data Cleaning\, Manipulation and Visualization CONTACT: DESCRIPTION:Do you want to make your scientific publications more impactful ? It’s said that a picture is worth a thousand words\; a well-designed sci entific figure is essential in concisely and clearly communicating complex ideas to your audience. Join JHU Data Services in this workshop session\, where we’ll cover design principles and recommended practices for creatin g effective scientific figures. There is no required prerequisite for this class\, but experience preparing scientific figures would be useful.\nReg istration link: https://jhu.libcal.com/event/7976617 DTSTART;TZID=America/New_York:20210723T130000 DTEND;TZID=America/New_York:20210723T143000 SEQUENCE:0 SUMMARY:(Webinar) Creating Effective Scientific Figures URL:https://dataservices.library.jhu.edu/event/webinar-creating-effective-s cientific-figures/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nDo you want t o make your scientific publications more impactful? It’s said that a pictu re is worth a thousand words\; a well-designed scientific figure is essent ial in concisely and clearly communicating complex ideas to your audience. Join JHU Data Services in this workshop session\, whe re we’ll cover design principles and recommended practices for creating ef fective scientific figures. There is no required prerequisite for this cla ss\, but experience preparing scientific figures would be useful.
\nRegistration link: https://jhu.libcal.com/event/7976617
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1274@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Research Data Management and Sharing CONTACT: DESCRIPTION:With funders and publishers increasingly asking researchers to share data\, protecting the privacy of research participants and patients is particularly challenging. Join JHU Data Services for an overview of com mon privacy disclosure risks from personal and health identifiers in data. We discuss how to comply with IRB and HIPAA guidance for data security wi thin the research team and introduce techniques for de-identifying data sh ared with external collaborators and public databases. \nRegistration link : https://jhu.libcal.com/event/7498115 DTSTART;TZID=America/New_York:20210811T120000 DTEND;TZID=America/New_York:20210811T133000 SEQUENCE:0 SUMMARY:(Webinar) De-identifying Human Subjects Data for Sharing URL:https://dataservices.library.jhu.edu/event/webinar-de-identifying-human -subjects-data-for-sharing-8/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nWith funders and publishers increasingly asking researchers to share data\, protecting the privacy of research par ticipants and patients is particularly challenging. Join JHU Data Services for an overview of common privacy disclosure risks from personal and health i dentifiers in data. We discuss how to comply with IRB and HIPAA guidance f or data security within the research team and introduce techniques for de- identifying data shared with external collaborators and public databases.< /span>
\nRegist ration link: https://jhu. libcal.com/event/7498115
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1336@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Research Data Management and Sharing CONTACT: DESCRIPTION:Effective data management can increase the pace of the research process\, contribute to the soundness of research results\, and meet fund ing agency requirements by making research data easy to share. Join JHU D ata Services for an overview of best practices including backup procedures \, tips on effective file names\, data security and access controls\, and data documentation/metadata. This seminar is for faculty\, postdoctoral re searchers and graduate students from all disciplines. This course does not focus on creating or using any particular data collection or analysis too l (e.g. REDCap\, SPSS)\, but discusses data management at a general level. \nRegistration link: https://jhu.libcal.com/event/8175441 DTSTART;TZID=America/New_York:20210914T130000 DTEND;TZID=America/New_York:20210914T143000 SEQUENCE:0 SUMMARY:(Webinar) Best Practices for Data Management and Sharing URL:https://dataservices.library.jhu.edu/event/webinar-best-practices-for-d ata-management-and-sharing-2/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nEffective data managem
ent can increase the pace of the research process\, contribute to the soun
dness of research results\, and meet funding agency requirements by making
research data easy to share. Join JHU Data Ser
vices for an overview of best practices including backup procedur
es\, tips on effective file names\, data security and access controls\, an
d data documentation/metadata. This seminar is for faculty\, postdoctoral
researchers and graduate students from all disciplines. This course does n
ot focus on creating or using any particular data collection or analysis tool (
Registration link: https://jhu.libcal.com/event/8175441
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1337@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Reproducible Research CONTACT: DESCRIPTION:A brief introduction to reproducible research. What is reproduc ible research? Why is it important? Join JHU Data Services for an overview of reproducible research. This session provides several good and not so g ood examples of reproducible research. We also provide several tips and us eful resources for you to start making your research more reproducible. \nRegistration link: https://jhu.libcal.com/event/8175450 DTSTART;TZID=America/New_York:20210915T130000 DTEND;TZID=America/New_York:20210915T140000 SEQUENCE:0 SUMMARY:(Webinar) Introduction to Reproducible Research URL:https://dataservices.library.jhu.edu/event/webinar-introduction-to-repr oducible-research/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nA brief introduction to
reproducible research. What is reproducible research? Why is it important?
Join <
a class='Hyperlink SCXW41738263 BCX0' href='https://dataservices.library.j
hu.edu/' target='_blank' rel='noreferrer noopener'>JHU Data Services for an overview of reproducible research. This session provides several good and not so good examples of
reproducible research. We also provide several tips and useful resources
for you to start making your research more reproducible.
Registration link: https:/ /jhu.libcal.com/event/8175450
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1338@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:GIS &\; Mapping CONTACT: DESCRIPTION:Attendees will learn how to search\, find\, and share geographi c content using Johns Hopkins ArcGIS Online Organization account. This JHU Data Services class will provide the fundamental skills necessary to crea te\, design\, and share web maps using the latest Map Viewer. \nRegistra tion link: https://jhu.libcal.com/event/8175477 DTSTART;TZID=America/New_York:20210916T140000 DTEND;TZID=America/New_York:20210916T153000 SEQUENCE:0 SUMMARY:(Webinar) Web Mapping: An Introduction to ArcGIS Online URL:https://dataservices.library.jhu.edu/event/webinar-web-mapping-an-intro duction-to-arcgis-online-3/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nAttendees will learn h ow to search\, find\, and share geographic content using Johns Hopkins Arc GIS Online Organization account. This JHU Data S ervices class will provide the fundamental skills necessary to cr eate\, design\, and share web maps using the latest Map Viewer. span>
\nRegistration link: https://jhu.libcal.com/event/8175477
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1339@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Research Data Management and Sharing CONTACT: DESCRIPTION:Data management plans (DMPs) are increasingly required in the g rant proposal process\, particularly for research funding from federal age ncies. In this 1-hour workshop with JHU Data Services\, learn how the free \, online DMPTool (https://dmptool.org/) can help you organize your data m anagement plan and tailor plans to your funder’s requirements. We will dis cuss the main components of an effective data management plan\, how JHU Da ta Services can help with DMPs\, and provide a hands-on tutorial of using DMPTool to create and share your plans. This workshop is aimed at faculty\ , postdoctoral researchers and graduate students from all disciplines. Lea rn more about JHU Data Services and our DMP consultations at https://datas ervices.library.jhu.edu/consulting/. \nRegistration link: https://jhu.lib cal.com/event/8218448 DTSTART;TZID=America/New_York:20210921T120000 DTEND;TZID=America/New_York:20210921T130000 SEQUENCE:0 SUMMARY:(Webinar) Writing Data Management Plans with DMPTool URL:https://dataservices.library.jhu.edu/event/webinar-writing-data-managem ent-plans-with-dmptool/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nData management plans (DMPs)
are increasingly required in the grant proposal process\, particularly for
research funding from federal agencies. In this 1-hour workshop with JHU Data Services\, learn how the free\, online DMPTool (https://dmptool.
org/) can help you org
anize your data management plan and tailor plans to your funder’s requirem
ents. We will discuss the main components of an effective data management
plan\, how JHU Data Services can help with DMPs\, and provide a hands-on t
utorial of using DMPTool to cr
eate and share your plans. This workshop is aimed at faculty\, postdoctora
l researchers and graduate students from all disciplines. Learn more about
JHU Data Services and our DMP consultations at https://dataservices.library.jhu.edu/consulting/.
Registration link: https://jhu.libcal.com/event/8218448
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1340@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:GIS &\; Mapping CONTACT: DESCRIPTION:Students will turn their work into a great story using the ArcG IS StoryMaps web app. StoryMaps allows a user to create an interactive we b presence for their research materials without knowing any HTML\, CSS\, o r Javascript. In this hands-on session with JHU Data Services\, you’ll in tegrate maps\, text\, and scanned images in a dynamic presentation format. You’ll have the opportunity to share your resulting StoryMap with any gr oup or individual you choose or keep it to yourself for later work. No pre vious experience required. \nRegistration link: https://jhu.libcal.com/eve nt/8218550 DTSTART;TZID=America/New_York:20210921T140000 DTEND;TZID=America/New_York:20210921T160000 SEQUENCE:0 SUMMARY:(Webinar) Bringing Your Research Alive with StoryMaps URL:https://dataservices.library.jhu.edu/event/webinar-bringing-your-resear ch-alive-with-storymaps/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nStudents will turn their wo
rk into a great story using the ArcGIS Stor
yMaps web app. StoryMaps allows a user to create an interactive web presence for their
research materials without knowing any HTML\, CSS\, or Javascript. In this ha
nds-on session with JHU Data Servi
ces\, you’ll integra
te maps\, text\, and scanned images in a dynamic presentation format. You
’ll have the opportunity to share your resulting StoryMap with any group o
r individual you choose or keep it to yourself for later work. No previous
experience required. <
/p>\n Reg
istration link: https://jhu.libcal.com/event/8218550
Are you interested in learnin
g how to code but don’t know where to start? Learning to code can be a dau
nting task if you have no background in computer science or related fields
. Join <
span class='TextRun Highlight Underlined SCXW38813934 BCX0' lang='EN-US' x
ml:lang='EN-US' data-contrast='none'>JHU Data Services
Registration link: https://jhu.libcal.com/event/8218562
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1342@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Introductory Coding CONTACT: DESCRIPTION:R is an open source software for statistical computing and grap hics. Join JHU Data Services for this “Introduction to R” workshop. This i s for people who want to learn this data analysis tool but have little or no experience in any programming languages. The first half of this 3-hour workshop will focus on some basic concepts of coding and the second half w ill have several hands-on activities to learn basic R skills\, such as ins talling R packages\, importing and exploring data. Some troubleshooting ti ps and R resources will be provided at the end of this workshop. \nRegistr ation link: https://jhu.libcal.com/event/8218606 DTSTART;TZID=America/New_York:20210929T123000 DTEND;TZID=America/New_York:20210929T153000 SEQUENCE:0 SUMMARY:(Webinar) Introduction to R for Absolute Beginners URL:https://dataservices.library.jhu.edu/event/webinar-introduction-to-r-fo r-absolute-beginners-4/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nR is an open source software for statistica l computing and graphics. Join JHU Data Services for this “Introduction to R” workshop. This is for people who w ant to learn this data analysis tool but have little or no experience in a ny programming languages. The first half of this 3-hour workshop will focu s on some basic concepts of coding and the second half will have several h ands-on activities to learn basic R skills\, such as installing R packages \, importing and exploring data. Some troubleshooting tips and R resources will be provided at the end of this workshop.
\nRegistration link: https://jhu.l ibcal.com/event/8218606
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1343@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:GIS &\; Mapping CONTACT: DESCRIPTION:Prerequisite: WebMapping: An Introduction to ArcGIS Online. Att endees will take what they learned from the WebMapping: An Introduction to ArcGIS Online course and use it to analyze data by using various geoproce ssing tools currently offered in the online application via the classic vi ewer. \nRegistration link: https://jhu.libcal.com/event/8218711 DTSTART;TZID=America/New_York:20210930T140000 DTEND;TZID=America/New_York:20210930T153000 SEQUENCE:0 SUMMARY:(Webinar) Web Mapping: Advanced URL:https://dataservices.library.jhu.edu/event/webinar-web-mapping%e2%80%af advanced/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nPrerequisite:
span> WebMapping: An Introduction to ArcGIS Online
span>. Atte
ndees will take what they learned from the WebMapping: An Introduction t
o ArcGIS Online course and use it to analyze data by using various geoproc
essing tools currently offered in the online application via the classic v
iewer. <
/p>\n R
egistration link: https://jhu.libcal.com/event/82
18711 Python is a popular pr
ogramming language that is used for data management and analysis\, web dev
elopment\, software development\, machine learning and artificial intellig
ence. Although we will not be going quite that deep in this introduction\
, this
JHU Data Services workshop will
provide users with the fundamentals necessary to get started using Python.
This workshop is heavily hands-on and will have users feeling comfortable
coding and confident enough to leap from beginner to intermediate and bey
ond in no time. Students should expect to: instruct the computer to accomplis
h tasks\, use variables to contain content\, learn new Python vocabulary\,
write and run calculations\, and conduct overall data analysis/manipulati
on using Python’s base functionality. Registration link: https://jhu.lib
cal.com/event/8218720 Prerequisite:
span> Int
roduction to R for Absolute Beginners or some experience using R.
span> Do you work with other people’s data? Are there times wh
en you need to clean or reorganize these data to work for you? Join JHU Data Services for this workshop to efficiently clean dat
a in R. You will need to have either some basic knowledge about using R or
have previously attended our Introduction to R for Absolute Beginners wor
kshop in order to take this one. We will give an overview of the concepts
of data cleaning and go into great
detail with tidyr Registration link:
https://jhu.libcal.com/event/8218730
Do you want to make your scientific publications more impact
ful? It’s said that a picture is worth a thousand words\; a well-designed
scientific figure is essential in concisely and clearly communicating comp
lex ideas to your audience. Join JHU Data Services in this workshop session\, where we’ll cover design
principles and recommended practices for creating effective scientific fi
gures. There is no required prerequisite for this class\, but experience p
reparing scientific figures would be useful. Registra
tion link: <
/span>https://jhu.libcal.com/event/8218746 This JHU Data Services workshop will be hands on using ArcGIS Online but students
will be provided with directions as to how to geocode using ArcGIS Pro.
Students will learn the concepts required to perform geocoding along with
tips and suggestions for preparing data for use within ArcGIS. Common file
formats will be discussed\, (e.g. Excel\, .csv)\, along with text files and data
with x\, y coordinates. Prior experience with ArcGIS Online or ArcGIS Pro
will help a student navigate the interface but is not required. Registration link: https://jhu.libcal.com/event/8218798
Protecting research span>participant and patients’ privacy is challenging not just for security\, but als o when anonymizing data for external collaborators\, publications\, and re search databases. Join JHU Data Services< /span> for an overview of common privacy disclosure risks from personal and hea lth identifiers in data. We discuss how to comply with IRB and HIPAA guida nce for data security within the research team and introduce techniques fo r de-identifying data for external collaborators and public databases. You may preview session topics in our online module and guide.
\nRegistration link: https://jhu.lib cal.com/event/8218893
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1349@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Data Cleaning\, Manipulation and Visualization CONTACT: DESCRIPTION:Do you work with data in spreadsheets? This JHU Data Services w orkshop will teach you how to clean and standardize your tabular data effi ciently and reproducibly using OpenRefine. OpenRefine is a free\, open-sou rce tool with a graphical user interface (GUI) to clean and organize data – no coding required! The bulk of this 2.5-hour workshop will be a hands-o n tutorial cleaning a dataset in OpenRefine. \n After taking this worksh op\, participants will: \n\nUnderstand the common features of messy datas ets \nBe able to carry out several transformations in OpenRefine to clean and standardize data for further analysis \nLeave with a test project th at can be used to practice further data analysis or learn advanced feature s of OpenRefine\, such as working with APIs \n\nRegistration link: https: //jhu.libcal.com/event/8218934 DTSTART;TZID=America/New_York:20211019T140000 DTEND;TZID=America/New_York:20211019T163000 SEQUENCE:0 SUMMARY:(Webinar) Data Cleaning in OpenRefine URL:https://dataservices.library.jhu.edu/event/webinar-data-cleaning-in-ope nrefine/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nDo you work with data in spreadsheets? This JHU Data Services workshop will teach you ho w to clean and standardize your tabular data efficiently and reproducibly using OpenRefine. OpenRefine is a free\, open-source tool with a graphical user interface (GUI) to clean and organize data – no coding required! The bulk of this 2.5-hour workshop will be a hands-on tutorial cleaning a dat aset in OpenRefine.
\nAfter taking this workshop\, participants will:
\nRegistration link: https://jhu.libcal.com/event/8218934
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1350@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Data Cleaning\, Manipulation and Visualization CONTACT: DESCRIPTION:Prerequisite: Introduction to R for Absolute Beginners or some experience using R. The dplyr package is a popular R package that people o ften use to manipulate and join datasets. You will need to have either som e basic knowledge about using R or have previously attended our Introducti on to R for Absolute Beginners workshop in order to take this one. Join JH U Data Services for this workshop and you will learn to use several functi ons\, including mutate()\, filter()\, select()\, summarize() and group_by( )\, in dplyr to manipulate data for the first half of the workshop. For th e second part of this workshop\, you will learn the join functions (e.g. l eft_join()\, right_join()\, inner_join()\, semi_join()\, anti_join()\, ful l_join()\, bind_rows() and bind_cols()) and set operations (e.g. union()\, intersect() and setdiff()) in dplyr to combine two datasets. You will hav e plenty of opportunities to do hands-on activities on your laptop and wor k on datasets provided by instructors. \nRegistration link: https://jhu.l ibcal.com/event/8218962 DTSTART;TZID=America/New_York:20211020T130000 DTEND;TZID=America/New_York:20211020T150000 SEQUENCE:0 SUMMARY:(Webinar) Manipulating and Joining Data in R with dplyr URL:https://dataservices.library.jhu.edu/event/webinar-manipulating-and-joi ning-data-in-r-with-dplyr-3/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nPrerequisite: Introduction to R for Absolute Beginners or some experien
ce using R. The d
plyr package is a popular R package that people often use t
o manipulate and join datasets. You will need to have either some basic kn
owledge about using R or have previously attended our Introduction to R fo
r Absolute Beginners workshop in order to take this one. Join JHU Data Services for this workshop and you will learn to use seve
ral functions\, including mutate()\, filter()\, select()\, summarize() and
group_by()\, in dplyr
to manipulate data for the first half of the workshop. For the se
cond part of this workshop\, you will learn the join functions (
Registration link: https://jhu.libcal.com/e vent/8218962
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1351@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:GIS &\; Mapping CONTACT: DESCRIPTION:This JHU Data Services half-day course introduces students to A rcGIS Pro\, the most widely used geographic information systems (GIS) soft ware. Learn the basics which include how to work with spatial data and how to create maps. If your research calls for making maps or using a geograp hic information system to analyze data\, then this class is for you. \nRe gistration link: https://jhu.libcal.com/event/8218969 DTSTART;TZID=America/New_York:20211021T140000 DTEND;TZID=America/New_York:20211021T153000 SEQUENCE:0 SUMMARY:(Webinar) Introduction to ArcGIS: using ArcGIS Pro URL:https://dataservices.library.jhu.edu/event/webinar-introduction-to-arcg is-using-arcgis-pro-2/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nThis JHU Data Services half-day course introduces students to ArcGIS Pro\, the most widely used geographi c information systems (GIS) software. Learn the basics which include how t o work with spatial data and how to create maps. If your research calls fo r making maps or using a geographic information system to analyze data\, t hen this class is for you.
\nRegistration link: https://jhu.libcal.co m/event/8218969
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1352@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:GIS &\; Mapping CONTACT: DESCRIPTION:This JHU Data Services half-day course introduces students to t he tools in ArcGIS Pro\, tools. Learn how to work with spatial data and ge t an introduction to the most often used geospatial analytic tools. Take t his class if you want to learn how to use the many geoprocessing tools. \nRegistration link: https://jhu.libcal.com/event/8219143 DTSTART;TZID=America/New_York:20211028T140000 DTEND;TZID=America/New_York:20211028T153000 SEQUENCE:0 SUMMARY:(Webinar) Introduction to ArcGIS: Geoprocessing using ArcGIS Pro URL:https://dataservices.library.jhu.edu/event/webinar-introduction-to-arcg is-geoprocessing-using-arcgis-pro/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nThis JHU Data Services half-day course i ntroduces students to the tools in ArcGIS Pro\, tools. Learn how to work with spatial data and get an introduction to th e most often used geospatial analytic tools span>. Take this class if you want to learn how to use the many ge oprocessing tools.< span class='NormalTextRun SCXW85278847 BCX0' data-ccp-charstyle='eop' data -ccp-charstyle-defn='{'ObjectId':'a695574b-eee6-469c-9fee-c3867b04fe46|36' \,'ClassId':1073872969\,'Properties':[134233614\,'true'\,201340122\,'1'\,4 69775450\,'eop'\,469778129\,'eop'\,469778324\,'Default Paragraph Font']}'>
\nRegistration link: https://jhu.libcal.com/event/8219143
Prerequisite: I ntroduction to R for Absolute Beginners or some experience using R. You’ve c leaned and analyzed your data\, now learn how to visualize it. Visualizing data is critical for both understanding the meaning and patterns hidden i n your data\, and communicating it to an audience. This wor kshop by JHU Data Services serves as an introduction to using R’s data visualization tools and techniques. In this hands-on session\, we’ll cover design conce pts of data visualization and popular R packages\, before diving into crea ting data visualizations for a prepared dataset using base R and ggplot2. Some prior experience in R is required.
\nIf you have tabular data that you would like to visualize using a GIS but don’t know how to format it c orrectly\, this class is for you. Students will be led through hands-on e xercises using both table joins as well as a spatial join. While these e xercises are taught using ArcGIS Online\, students will receive directions on how to Join data using ArcGIS Pro. Prior experience will help a student navigat e the interface but is not required.
\nRegistration link: https://jhu.libca l.com/event/8219426
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1355@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Data Cleaning\, Manipulation and Visualization\,I ntroductory Coding CONTACT: DESCRIPTION:Prerequisites: Participants should be familiar with basic progr amming concepts\, including variable assignment\, data types\, function ca lls\, and installing packages or libraries. Introductory experience in Pyt hon or R will be especially helpful for this workshop. This beginner-to-in termediate level workshop will introduce you to the pandas library\, a pop ular Python library for data cleaning\, data wrangling\, and data analysis . Participants in this interactive class will use Jupyter Notebooks softwa re and Python code to import\, understand\, and prepare a dataset for furt her analysis or visualization. By the end of this workshop\, participants will be able to: \n\nIdentify and use the two primary data structures of the pandas library: Series and DataFrame \nImplement functions from the p andas library to explore and analyze a dataset\, including: \n\nHandling missing data \nFiltering and sorting data\nGrouping data \n\n\nCalculati ng basic summary statistics \nFind documentation for the pandas library t o troubleshoot errors and apply new functions to analyze a dataset \n\nR egistration link: https://jhu.libcal.com/event/8219448 DTSTART;TZID=America/New_York:20211109T130000 DTEND;TZID=America/New_York:20211109T150000 SEQUENCE:0 SUMMARY:(Webinar) Data Wrangling in Python: Introduction to the pandas libr ary URL:https://dataservices.library.jhu.edu/event/webinar-data-wrangling-in-py thon-introduction-to-the-pandas-library/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nPrerequisites: Participants should be familiar with basic
programming concepts\, including variable assignment\, data types\, funct
ion calls\, and installing packages or libraries. Introductory experience
in Python or R will be especially helpful for this workshop.
Registration link: https ://jhu.libcal.com/event/8219448
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1356@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Research Data Management and Sharing CONTACT: DESCRIPTION:Effective data management can increase the pace of the research process\, contribute to the soundness of research results\, and meet fund ing agency requirements by making research data easy to share. Join JHU D ata Services for an overview of best practices including backup procedures \, tips on effective file names\, data security and access controls\, and data documentation/metadata. This seminar is for faculty\, postdoctoral re searchers and graduate students from all disciplines. This course does not focus on creating or using any particular data collection or analysis too l (e.g. REDCap\, SPSS)\, but discusses data management at a general level. \nRegistration link: https://jhu.libcal.com/event/8219458 DTSTART;TZID=America/New_York:20211110T120000 DTEND;TZID=America/New_York:20211110T133000 SEQUENCE:0 SUMMARY:(Webinar) Best Practices for Data Management and Sharing URL:https://dataservices.library.jhu.edu/event/webinar-best-practices-for-d ata-management-and-sharing-3/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nEffective data management can increase the pace of the research process\, contribute to the soundness o f research results\, and meet funding agency requirements by making resear ch data easy to share. Join JHU Data Services span> for an overview of best practices i ncluding backup procedures\, tips on effective file names\, data security and access controls\, and data documentation/metadata. This seminar is for faculty\, postdoctoral researchers and graduate students from all discipl ines. This course does not focus on creating or using any particular data c ollection or analysis tool (e.g. REDCap\, SPSS)\, bu t discusses data management at a general level. < /span>
\nRegistration link: https://jhu.libcal .com/event/8219458 < /span>
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1357@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:GIS &\; Mapping CONTACT: DESCRIPTION:Attendees will learn how to search\, find\, and share geographi c content using Johns Hopkins ArcGIS Online Organization account. This JHU Data Services class will provide the fundamental skills necessary to crea te\, design\, and share web maps using the latest Map Viewer. \nRegistra tion link: https://jhu.libcal.com/event/8219509 DTSTART;TZID=America/New_York:20211111T140000 DTEND;TZID=America/New_York:20211111T153000 SEQUENCE:0 SUMMARY:(Webinar) Web Mapping: An Introduction to ArcGIS Online URL:https://dataservices.library.jhu.edu/event/webinar-web-mapping-an-intro duction-to-arcgis-online-4/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nAttendees will learn h ow to search\, find\, and share geographic content using Johns Hopkins Arc GIS Online Organization account. This JHU Data S ervices class will provide the fundamental skills necessary to cr eate\, design\, and share web maps using the latest Map Viewer. span>
\nRegistration link: https://jhu.libcal.com/event/8219509
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1358@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Data Cleaning\, Manipulation and Visualization\,I ntroductory Coding CONTACT: DESCRIPTION:Prerequisite: Introduction to Python for Absolute Beginners or some experience using Python. \nYou’ve cleaned and analyzed your data\, now learn how to visualize it. Visualizing data is critical for both under standing the meaning and patterns hidden in your data and communicating it to an audience. This workshop by JHU Data Services serves as an introduct ion to using Python’s data visualization tools and techniques. In this han ds-on session\, we’ll cover design concepts of data visualization and popu lar Python packages\, before diving into creating data visualizations for a prepared dataset using Matplotlib and Seaborn. Some prior experience in Python is required. \nRegistration link: https://jhu.libcal.com/event/821 9524 DTSTART;TZID=America/New_York:20211116T130000 DTEND;TZID=America/New_York:20211116T160000 SEQUENCE:0 SUMMARY:(Webinar) Introduction to Data Visualization in Python URL:https://dataservices.library.jhu.edu/event/webinar-introduction-to-data -visualization-in-python/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nPrerequisite: Introduction to Python for Absolute Beginne rs or some experience using Python.
\nYou’ve cleaned and analyzed your data\
, now learn how to visualize it. Visualizing data is critical for both und
erstanding the meaning and patterns hidden in your data and communicating
it to an audience. This workshop by JHU Data Services serves as an introduction to using Python’s data
visualization tools and techniques. In this hands-on session\, we’ll cove
r design concepts of data visualization and popular Python packages\, befo
re diving into creating data visualizations for a prepared dataset using M
atplotlib and Seaborn. Some prior experience in Python is required.
Registration link: htt ps://jhu.libcal.com/event/8219524
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1359@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:GIS &\; Mapping CONTACT: DESCRIPTION:Do you need to geocode a lot of addresses? Have you consumed a ll of your annual allotted credits in one push of a button? Do you need t o protect the address identities of a research project? This webinar is d esigned to educate students when it is best to build a locator rather than use a prebuilt locator and how to do so. \nStudents should expect to: \n\nRecognize the need for building an address locator \nDemonstrate bui lding an address locator \nImplement use of the newly built address locat or \n\nRegistration link: https://jhu.libcal.com/event/8221364 DTSTART;TZID=America/New_York:20211118T140000 DTEND;TZID=America/New_York:20211118T153000 SEQUENCE:0 SUMMARY:(Webinar) Geocoding: Building a Locator using ArcGIS Pro URL:https://dataservices.library.jhu.edu/event/webinar-geocoding-building-a -locator-using-arcgis-pro/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nDo you need to geocode a lot of addresses? Have you consume d all of your annual allotted credits in one push of a button? Do you nee d to protect the address identities of a research project? This webinar i s designed to educate students when it is best to build a locator rather t han use a prebuilt locator and how to do so.
\nRegistration link: https://jhu.libcal.com/event/8221364
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1360@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:GIS &\; Mapping CONTACT: DESCRIPTION:Students will turn their work into a great story using the ArcG IS StoryMaps web app. StoryMaps allows a user to create an interactive we b presence for their research materials without knowing any HTML\, CSS\, o r Javascript. In this hands-on session with JHU Data Services\, you’ll in tegrate maps\, text\, and scanned images in a dynamic presentation format. You’ll have the opportunity to share your resulting StoryMap with any gr oup or individual you choose or keep it to yourself for later work. No pre vious experience required. \nRegistration link: https://jhu.libcal.com/eve nt/8219591 DTSTART;TZID=America/New_York:20211130T140000 DTEND;TZID=America/New_York:20211130T160000 SEQUENCE:0 SUMMARY:(Webinar) Bringing Your Research Alive with StoryMaps URL:https://dataservices.library.jhu.edu/event/webinar-bringing-your-resear ch-alive-with-storymaps-2/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nStudents will turn their wo
rk into a great story using the ArcGIS Stor
yMaps web app. StoryMaps allows a user to create an interactive web presence for their
research materials without knowing any HTML\, CSS\, or Javascript. In this hands-on session with JHU Data Services\, you’ll integrate maps\, text\, and sc
anned images in a dynamic presentation format. You’ll have the opportunit
y to share your resulting StoryMap with any group or individual you choose
or keep it to yourself for later work. No previous experience required.
span>
Registration link: https://jhu.libcal.com/event/8219591 < span class='EOP SCXW46578945 BCX0' data-ccp-props='{'201341983':0\,'335559 739':160\,'335559740':240}'>
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1361@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Data Cleaning\, Manipulation and Visualization\,I ntroductory Coding CONTACT: DESCRIPTION:Note: This is a two-day\, 3-hr workshop on 12/1\, 1:00 – 4:00 p m (Part A) pm AND 12/2\, 1:00 – 4:00 pm (Part B). You only need to registe r once but are required to attend both. \nPrerequisite: Data Visualization in R or moderate experience using R. Are you interested in exploring and understanding your data? Would you like to communicate your R analysis in an easy to use\, interactive way? Shiny is an R package that makes it simp le to build and share web applications for the purpose of visualizing and communicating your data interactively. Join JHU Data Services for a worksh op introducing the Shiny package in R for developing and sharing interacti ve data visualizations. In this two-part hands-on session\, we’ll cover de sign concepts of interactive data visualizations and build a Shiny web app from scratch using a prepared dataset. Some prior experience in R is requ ired. \nRegistration link: https://jhu.libcal.com/event/8219668\n DTSTART;TZID=America/New_York:20211201T130000 DTEND;TZID=America/New_York:20211201T160000 SEQUENCE:0 SUMMARY:(Webinar) Introduction to Interactive Data Visualization in R with Shiny (Two 3-Hr sections) URL:https://dataservices.library.jhu.edu/event/webinar-introduction-to-inte ractive-data-visualization-in-r-with-shiny-two-3-hr-sections/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nNote: This is a two-day\, 3-hr workshop on 12/1\, 1:00 – 4:00 pm (Part A) pm AND 12/2\, 1:00 – 4:00 pm (Part B). You only need to r egister once but are required to attend both.
\nPrerequisite: Data Visualization in R or moder ate experience using R. Are you inte rested in exploring and understanding your data? Would you like to communi cate your R analysis in an easy to use\, interactive way? Shiny is an R pa ckage that makes it simple to build and share web applications for the pur pose of visualizing and communicating your data interactively. Join JHU Data Services for a workshop i ntroducing the Shiny package in R for developing and sharing interactive d ata visualizations. In this two-part hands-on session\, we’ll cover design concepts of interactive data visualizations and build a Shiny web app fro m scratch using a prepared dataset. Some prior experience in R is required .
\nRegistration link: https ://jhu.libcal.com/event/8219668
\n\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1362@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Introductory Coding CONTACT: DESCRIPTION:Python is a popular programming language that is used for data management and analysis\, web development\, software development\, machine learning and artificial intelligence. Although we will not be going quit e that deep in this introduction\, this JHU Data Services workshop will pr ovide users with the fundamentals necessary to get started using Python. T his workshop is heavily hands-on and will have users feeling comfortable c oding and confident enough to leap from beginner to intermediate and beyon d in no time. Students should expect to instruct the computer to accomplis h tasks\, use variables to contain content\, learn new Python vocabulary\, write and run calculations\, and conduct overall data analysis/manipulati on using Python’s base functionality. \nRegistration link: https://jhu.lib cal.com/event/8219691 DTSTART;TZID=America/New_York:20211202T160000 DTEND;TZID=America/New_York:20211202T183000 SEQUENCE:0 SUMMARY:(Webinar) Introduction to Python for Absolute Beginners URL:https://dataservices.library.jhu.edu/event/webinar-introduction-to-pyth on-for-absolute-beginners-6/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\n
Python is a popular pr ogramming language that is used for data management and analysis\, web dev elopment\, software development\, machine learning and artificial intellig ence. Although we will not be going quite that deep in this introduction\ , this JHU Data Services workshop will provide users with the fundamentals necessary to get started using Python. This workshop is heavily hands-on and will have users feeling comfortable coding and confident enough to leap from beginner to intermediate and bey ond in no time. Students should expect to instruct the computer to accomplish tasks\, use variables to contain con tent\, learn new Python vocabulary\, write and run calculations\, and cond uct overall data analysis/manipulation using Python’s base functionality.< /span>
\nRegistration link: https://jhu.libcal.com/event/8219691
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1363@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Research Data Management and Sharing CONTACT: DESCRIPTION:Prerequisite: De-identifying Human Subject Data for Sharing or reviewing our online resources. This class builds upon the introduction to privacy protection class\, as a next step toward applying techniques for de-identifying several types of personal and health identifiers. We work t hrough case examples and anonymization methods at an “intermediate” level suitable for preparing data for external collaborations and restricted acc ess research databases. We also discuss the more common advanced statistic al techniques for anonymization and risk assessment and their use cases\, as well as current software options. Note: if you attended our de-identifi cation webinar in prior years\, reviewing our online module and guide can prepare you for this session. \nRegistration link: https://jhu.libcal.com/ event/8219705 DTSTART;TZID=America/New_York:20211203T120000 DTEND;TZID=America/New_York:20211203T133000 SEQUENCE:0 SUMMARY:(Webinar) De-identifying Human Subject Data: Techniques and Case Ex amples URL:https://dataservices.library.jhu.edu/event/webinar-de-identifying-human -subject-data-techniques-and-case-examples/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nPrerequisite: De-ident ifying Human Subject Data for Sharing or reviewing our online resources. This class builds upon the introduction to privacy protection class\, as a next step toward applying techniques for de-identifying several types of personal and healt h identifiers. We work through case examples and anonymization methods at an “intermediate” level suitable for preparing data for external collabora tions and restricted access research databases. We also discuss the more c ommon advanced statistical techniques for anonymization and risk assessmen t and their use cases\, as well as current software options. Note: if you attended our de-identification webinar in prior years\, reviewing < span class='NormalTextRun ContextualSpellingAndGrammarErrorV2 SCXW16881353 9 BCX0'>our < /span>online module and guide ca n prepare you for this session.
\nRegistration link: https://jhu.libcal.co m/event/8219705
\n END:VEVENT BEGIN:VEVENT UID:ai1ec-1364@dataservices.library.jhu.edu DTSTAMP:20240329T072702Z CATEGORIES;LANGUAGE=en-US:Research Data Management and Sharing CONTACT: DESCRIPTION:Data management plans (DMPs) are increasingly required in the g rant proposal process\, particularly for research funding from federal age ncies. In this 1-hour workshop with JHU Data Services\, learn how the free \, online DMPTool (https://dmptool.org/) can help you organize your data m anagement plan and tailor plans to your funder’s requirements. We will dis cuss the main components of an effective data management plan\, how JHU Da ta Services can help with DMPs\, and provide a hands-on tutorial of using DMPTool to create and share your plans. This workshop is aimed at faculty\ , postdoctoral researchers and graduate students from all disciplines. Lea rn more about JHU Data Services and our DMP consultations at https://datas ervices.library.jhu.edu/consulting/. \nRegistration link: https://jhu.lib cal.com/event/8219717 DTSTART;TZID=America/New_York:20211210T120000 DTEND;TZID=America/New_York:20211210T130000 SEQUENCE:0 SUMMARY:(Webinar) Writing Data Management Plans with DMPTool URL:https://dataservices.library.jhu.edu/event/webinar-writing-data-managem ent-plans-with-dmptool-2/ X-COST-TYPE:free X-ALT-DESC;FMTTYPE=text/html:\\n\\n\\nData management plans (DMPs)
are increasingly required in the grant proposal process\, particularly for
research funding from federal agencies. In this 1-hour workshop with JHU Data Services\, learn how the free\, online DMPTool (
https://dmptool.org/) can help you organize your data management plan and tailor plans to
your funder’s requirements. We will discuss the main components of an eff
ective data management plan\, how JHU Data Services can help with DMPs\, a
nd provide a hands-on tutorial of using DMPT
ool to create and share your plans. This workshop is aimed a
t faculty\, postdoctoral researchers and graduate students from all discip
lines. Learn more about JHU Data Services and our DMP consultations at
https://dataservices.library.
jhu.edu/consulting/.
span>
Registration lin k: https://jhu.libcal.com/event/8219717
\n END:VEVENT END:VCALENDAR