Training & Workshops

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  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. <Overview><Register here>

Python is a popular programming language because its “easy to read”. It can be used for web development, software development, machine learning and artificial intelligence. Although we will not be going quite that deep in just 3 hours, this workshop will provide users with the fundamentals necessary to get started using Python. Its heavily hands-on approach will have users feeling comfortable coding and confident enough to leap from beginner to intermediate and beyond in not time. Students should expect to: Instruct the computer to accomplish tasks and use variables to contain content, learn new Python vocabulary, write and run calculations, and conduct overall data analysis/manipulation using Python’s base functionality. <Register here>

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>

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>

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>