Feb
19
Tue
Web Mapping @ Brody Learning Commons 4040, Homewood Campus
Feb 19 @ 3:00 pm – 5:00 pm

Attendees will learn how to search, find, and share geographic content using Johns Hopkins ArcGIS Online Organization account. This class will provide the fundamental skills necessary to create, design, and share web maps, as well as use some of the various geoprocessing tools currently offered via the online application. No prior knowledge of GIS is needed to take this introductory workshop. <Register here>

Feb
20
Wed
Web Mapping @ Lab#1, 2024 E Monument St Building, Medical Campus
Feb 20 @ 2:30 pm – 4:30 pm

Attendees will learn how to search, find, and share geographic content using Johns Hopkins ArcGIS Online Organization account. This class will provide the fundamental skills necessary to create, design, and share web maps, as well as use some of the various geoprocessing tools currently offered via the online application. No prior knowledge of GIS is needed to take this introductory workshop. <Register here>

Feb
27
Wed
Bringing Your Data Alive Through Story Telling @ Brody Learning Commons 4040, Homewood Campus
Feb 27 @ 1:00 pm – 4:00 pm

Students will create a great story using one of the Story Maps web app templates.  Using the Story Maps templates allows a user to create an interactive web presence for their data without knowing any HTML, CSS, or Javascript.  In this hands-on session, you’ll integrate maps, text, scanned documents and videos.  You’ll have the opportunity to share your resulting Story Map with any group or individual you choose or keep it to yourself for later work. No previous experience required. <Register here>

Mar
12
Tue
Best Practices for Research Data Management and Sharing @ Brody Learning Commons 4040, Homewood Campus
Mar 12 @ 12:00 pm – 1:00 pm

Effective data management can increase the pace of the research process, contribute to the soundness of research results, and meet funding agency requirements by making research data easy to share.  Join us 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 researchers and graduate students from all disciplines. This course does not focus on creating or using any particular data collection or analysis tool (e.g. REDCap, SPSS), but discusses data management at a general level. <Register here><Handouts>

 

Mar
15
Fri
De-identifying Human Subjects Data for Sharing @ Brody Learning Commons 4040, Homewood Campus
Mar 15 @ 12:00 pm – 1:30 pm

With researchers increasingly encouraged or required to share their data, preparing to share datasets with confidential identifiers of people and organizations is particularly challenging. Join JHU Data Management Services for an overview of techniques for assessing disclosure risk and hiding personal identifiers and Protected Health Information in quantitative and qualitative data, in compliance with IRB and HIPAA guidance. We also discuss preparing consent forms that facilitate data sharing, and keeping identifier data secure during and after projects. <Handout><Register here>

Mar
25
Mon
Bringing Your Data Alive Through Story Telling @ Lab#1, 2024 E Monument St Building, Medical Campus
Mar 25 @ 9:00 am – 11:00 am

Students will create a great story using one of the Story Maps web app templates.  Using the Story Maps templates allows a user to create an interactive web presence for their data without knowing any HTML, CSS, or Javascript.  In this hands-on session, you’ll integrate maps, text, scanned documents and videos.  You’ll have the opportunity to share your resulting Story Map with any group or individual you choose or keep it to yourself for later work. No previous experience required. <Register here>

Apr
3
Wed
Best Practices for Research Data Management and Sharing @ Lab#1, 2024 E Monument St Building, Medical Campus
Apr 3 @ 11:30 am – 12:30 pm

Effective data management can increase the pace of the research process, contribute to the soundness of research results, and meet funding agency requirements by making research data easy to share.  Join us 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 researchers and graduate students from all disciplines. This course does not focus on creating or using any particular data collection or analysis tool (e.g. REDCap, SPSS), but discusses data management at a general level. <Register here><Handouts>

 

Introduction to R for Absolute Beginners @ Lab#1, 2024 E Monument St Building, Medical Campus
Apr 3 @ 12:30 pm – 3:30 pm

R is an open source software for statistical computing and graphics. This in-person “Introduction to R” workshop is 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 will have several hands-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. <Register here>

Apr
9
Tue
Introduction to R for Absolute Beginners @ Brody Learning Commons 5015/5017, Homewood Campus
Apr 9 @ 12:00 pm – 3:00 pm

R is an open source software for statistical computing and graphics. This in-person “Introduction to R” workshop is 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 will have several hands-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. <Register here>

Apr
25
Thu
De-identifying Human Subjects Data for Sharing @ Lab#1, 2024 E Monument St Building, Medical Campus
Apr 25 @ 3:30 pm – 5:00 pm

With researchers increasingly encouraged or required to share their data, preparing to share datasets with confidential identifiers of people and organizations is particularly challenging. Join JHU Data Management Services for an overview of techniques for assessing disclosure risk and hiding personal identifiers and Protected Health Information in quantitative and qualitative data, in compliance with IRB and HIPAA guidance. We also discuss preparing consent forms that facilitate data sharing, and keeping identifier data secure during and after projects. <Handout><Register here>