Topics & Upcoming Sessions

(This schedule will be updated every July and December)

Aug
6
Mon
Introduction to ArcGIS Pro @ Lab#1, 2024 E Mountment St Building
Aug 6 @ 1:00 pm – 4:00 pm

This half-day course introduces students to ArcGIS Pro, the most widely used geographic information systems (GIS) 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. <Register here>

Aug
20
Mon
Introduction to R for Absolute Beginners @ BLC 5015/5017 (Homewood Campus)
Aug 20 @ 1:00 pm – 4:00 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>

Aug
24
Fri
De-identifying Human Subjects Data for Sharing @ Lab #1, 2024 Building, Medical Campus
Aug 24 @ 2:00 pm – 3:30 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>

Sep
11
Tue
Best Practices for Research Data Management and Sharing @ Lab #1, 2024 E Monument Building
Sep 11 @ 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>

 

Web Mapping @ Lab#1, 2024 E Mountment St Building
Sep 11 @ 1:00 pm – 4:00 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>

Sep
24
Mon
Introduction to R for Absolute Beginners @ Lab#1, 2024 E Mountment St Building
Sep 24 @ 10:00 am – 1:00 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>

Oct
5
Fri
Introduction to R for Absolute Beginners @ Lab#1, 2024 E Mountment St Building
Oct 5 @ 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>

Oct
11
Thu
Introduction to R for Absolute Beginners @ BLC 5015/5017 (Homewood Campus)
Oct 11 @ 10:00 am – 1:00 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>

Oct
25
Thu
Open Science Framework (OSF): A Platform for Collaborative and Reproducible Research @ Brody Learning Commons, Rm 5015/5017
Oct 25 @ 10:30 am – 1:00 pm

Please join us for a workshop, hosted by the Center for Open Science and JHU Data Management Services, to learn easy, practical steps researchers can take to increase the reproducibility of their work.

The workshop will be hands-on. (Please bring a laptop if possible.) Using an example study, attendees will actively participate in creating a reproducible project from start to finish.

Topics covered include:

  • Project documentation
  • Version control
  • Pre-analysis plans
  • Open source tools: in this specific instance, the Open Science Framework to easily implement these concepts in one easily accessible space

<Register here>

Nov
5
Mon
Introduction to Network Analysis: Basic Concepts, Applications, and Tools @ Homewood Campus, Brody Learning Commons Room 4040
Nov 5 @ 2:00 pm – 3:30 pm

What comes to mind when you hear the term network? The Internet? Facebook? Multiple computers sharing information? What if I told you there was a whole realm of scholarship where researchers explore the patterns of interaction in and among networks in their many forms? Network analysis is a research method that scholars in disciplines from public health, to business, to sociology and etc. use to explore and visualize relationships between objects, entities, or people. In this workshop we will take an introductory look at this concept and the basic underlying components of the method as well as discuss some ways that researchers are currently using the method. We’ll also identify types of online tools and software, discuss how to choose the best option for you, and construct a basic data set in excel. Finally, we will have demo of free and open source network visualization software Gephi. This is a basic introduction, no prior experience is necessary. Attendees may wish to bring a laptop to follow along with the demo.  <register here>

Interested in our training topics, but cannot make it?
Contact JHU Data Management Services to request a session for your Lab or Department.
Please specify in your email which training topic(s) you would like us to do for your group(s).