Topics & Upcoming Sessions

(Click individual event on the calendar for registration information)

Oct
17
Tue
Best Practices for Research Data Management and Sharing @ Brody Learning Commons 4040, Homewood Campus
Oct 17 @ 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>

Oct
31
Tue
Workshop on Reproducible Research Practices and the Open Science Framework @ Brody Learning Commons, Rm 5015/5017
Oct 31 @ 9:00 am – 12:00 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
8
Wed
De-identifying Human Subjects Data for Sharing @ Brody Learning Commons 4040, Homewood Campus
Nov 8 @ 12:00 pm – 1:00 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>

Nov
15
Wed
De-identifying Human Subjects Data for Sharing @ Lab #2, 2024 Building, Medical Campus
Nov 15 @ 12:00 pm – 1:00 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>

Nov
30
Thu
Introduction to Network Analysis: Basic Concepts, Applications, and Tools @ Brody Learning Commons, Rm 4040
Nov 30 @ 3:00 pm – 4:00 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 a basic demo of the open source visualization software Gephi. This is a basic introduction, no prior experience is necessary. Attendees may wish to bring a laptop to follow along.  <Register Here>

Dec
4
Mon
Best Practices for Research Data Management and Sharing @ Lab #2, 2024 E Monument Building
Dec 4 @ 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>

 

Dec
5
Tue
Best Practices for Research Data Management and Sharing @ Brody Learning Commons 4040, Homewood Campus
Dec 5 @ 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>


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).