Jan
24
Wed
Best Practices for Research Data Management and Sharing @ Lab #1, 2024 E Monument Building
Jan 24 @ 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
12
Mon
Best Practices for Research Data Management and Sharing @ Brody Learning Commons 4040, Homewood Campus
Mar 12 @ 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>

Mar
23
Fri
De-identifying Human Subjects Data for Sharing @ Lab #1, 2024 Building, Medical Campus
Mar 23 @ 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>

Apr
12
Thu
De-identifying Human Subjects Data for Sharing @ Brody Learning Commons 4040, Homewood Campus
Apr 12 @ 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>

May
1
Tue
Best Practices for Research Data Management and Sharing @ Brody Learning Commons 4040, Homewood Campus
May 1 @ 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>

May
21
Mon
Introduction to Network Analysis: Basic Concepts, Applications, and Tools @ Lab#1, 2024 Building, Medical Campus
May 21 @ 10:00 am – 11:30 am

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, time permitting we will have a short demo of a network analysis visualization tool. This is a basic introduction, no prior experience is necessary. Attendees may wish to bring a laptop to follow along.  <Register Here>

Best Practices for Research Data Management and Sharing @ Lab #1, 2024 E Monument Building
May 21 @ 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>

 

Jun
6
Wed
Open Science and Reproducible Research Tools  @ Brody Learning Commons 4040, Homewood Campus
Jun 6 @ 2:30 pm – 4:00 pm

What is the open science movement and what does it mean for me as a researcher? In this workshop we will look at the growing importance of open science and explore the issues surrounding making research and data open. As we discuss definitions, strategies, barriers, and incentives to open research we will also begin to take a look at tools that assist users in working in a transparent and reproducible manner. Specifically we will demo the Open Science Framework (OSF), 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. A prime example of a service that promotes reproducibility, we will share more about ways that you can use the OSF to position yourself as a proponent in the open science movement. <Register>

Jun
22
Fri
Open Science and Reproducible Research Tools  @ Lab#1, 2024 Building, Medical Campus
Jun 22 @ 10:00 am – 11:30 am

What is the open science movement and what does it mean for me as a researcher? In this workshop we will look at the growing importance of open science and explore the issues surrounding making research and data open. As we discuss definitions, strategies, barriers, and incentives to open research we will also begin to take a look at tools that assist users in working in a transparent and reproducible manner. Specifically we will demo the Open Science Framework (OSF), 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. A prime example of a service that promotes reproducibility, we will share more about ways that you can use the OSF to position yourself as a proponent in the open science movement. <Register>