Topics & Upcoming Sessions

(Click individual event on the calendar for registration information)

Jul
12
Wed
De-identifying Human Subjects Data for Sharing @ Brody Learning Commons 4040
Jul 12 @ 3:00 pm – 4:00 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>

Jul
13
Thu
De-identifying Human Subjects Data for Sharing @ Lab #2, 2024 E Monument Building
Jul 13 @ 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>

Aug
15
Tue
Introduction to the Open Science Framework: A platform for managing, collaborating, organizing, and sharing your research projects. @ BLC 4040
Aug 15 @ 12:00 pm – 1:00 pm

Collaboration among researchers can be difficult in many ways. So too is the management of all the materials and documentation that go along with it. In this session we introduce a helpful platform designed to ease the difficulties of managing and sharing data and research products. The Open Science Framework (OSF) is a free, open source, online research project management platform where you can create a personal JHU affiliated account, manage multiple projects, and collaborate or share with other researchers when you are ready to do so. It has the capability of connecting to services you may already use for research including JHBox storage, or other 3rd party services such as Google Drive, Github, and Mendeley, to name a few. Over the hour we will tell you more about the OSF, how you can get started, explain basic concepts of the interface, and share some interesting examples of ways other researchers are using the OSF. You can find more information about OSF services on our website and you may also want to take a look at our Lab Organization Template and Electronic Lab Notebook Template to get an idea of how one might use the OSF. We hope that you can join us! <Register here><Handout>

Aug
22
Tue
Best Practices for Research Data Management and Sharing @ Lab #2, 2024 E Monument Building
Aug 22 @ 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>

 

Aug
23
Wed
Best Practices for Research Data Management and Sharing @ Brody Learning Commons 4040
Aug 23 @ 3:00 pm – 4:00 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).