Mar
1
Thu
Open Baltimore: The Impact of Local Data @ MSEL Electronic Resources Center, Homewood Campus
Mar 1 @ 10:00 am – 11:00 am

February 26 – March 2 is Endangered Data Week, an effort to shed light on public datasets that are in danger of being deleted, repressed, mishandled, or lost. Come learn about one of the key sources of public data for Baltimore City. Employees of the Mayor’s Office of Information Technology will introduce us to Open Baltimore – its content, origins, and plans for future development. <Register here>

Online viewing is also available: https://connect.johnshopkins.edu/open-bmore/

Mind the Gap: Ensuring Sustained Access to Government Data @ Brody Learning Commons 4040, Homewood Campus
Mar 1 @ 3:30 pm – 5:00 pm

As part of Endangered Data Week we explore the very real scenario of a government shutdown. What does that mean for data access, discovery, and our daily lives? How can we as citizens take steps to prepare for such instances? Efforts to preserve essential federal data are ongoing across the country, and here we will explore one avenue that individuals can use.

Attendees will learn to archive a data set via open data repository Data Lumos (https://www.datalumos.org/datalumos/).

This is an interactive session, participants should bring a laptop if possible. <Register here>

Mar
6
Tue
Web Mapping @ Brody Learning Commons 4040, Homewood Campus
Mar 6 @ 4:00 pm – 6:00 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>

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>

Mar
27
Tue
Adding Tabular Data in ArcGIS Pro @ Brody Learning Commons 5015/5017, Homewood Campus
Mar 27 @ 4:00 pm – 6:00 pm

We are in a time of data overload but that does not mean it is ready to be used in a GIS. This 2-hour workshop will provide students with the skills necessary to join their non geolocated data with data that already works within ArcGIS Pro. If your research data has a location component but you don’t know how to use it in ArcGIS this class can help you. Familiarity with ArcGIS is preferred. <Register here>

Apr
11
Wed
Geolocating Addresses @ Brody Learning Commons 4040, Homewood Campus
Apr 11 @ 4:00 pm – 6:00 pm

Do you have a list of addresses that you would like to plot on a map to analyze trends and identify patterns? This 2-hour workshop teaches the steps required to successfully do just that, while also providing tips and suggestions for best preparing your data. We’ll also discuss ways of keeping those addresses confidential by aggregating them to a larger geography keeping their anonymity in check. Familiarity with ArcGIS is preferred. <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>

Apr
13
Fri
Workshop on Reproducible Research Practices and the Open Science Framework @ Bloomberg School of Public Health, W3008
Apr 13 @ 10:00 am – 12:30 pm

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

The workshop will be hands-on. Please bring your laptop. 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.

Registration Link Forthcoming.

Apr
19
Thu
Mining and Dining Workshop – Network Analysis Using Gephi @ Sherwood Room, Levering Hall, Homewood Campus
Apr 19 @ 12:30 pm – 2:00 pm

This Mining and Dining Workshop provides an introduction to Network Analysis for Digital Humanities using Gephi, open source visualization software. Please bring a laptop, or contact the organizers if you will need one during the session.

This interactive workshop is co-hosted by Digital Scholarship and Data Services. Refreshments will be served! <Register Here>