Data Management Services

~~ Serving Researchers on Homewood and Medical Campuses ~~

 

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.

 


Supporting data management at every point in your research

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Where are you in your project?

Our Services

Consulting

Assistance with writing data sharing or management plans

Training

Best practices for data management and sharing

Archiving

Archive your research data for sharing & preservation


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Training Schedule

Apr
24
Tue
Georeferencing @ Brody Learning Commons 4040, Homewood Campus
Apr 24 @ 4:00 pm – 6:00 pm

Scanned images of early maps and aerial photography often provide an ideal historical backdrop upon which to overlaying contemporary geospatial data. You will be amazed at how georeferenced maps can be used to identify changes in both the physical and cultural landscape. In this class, we will introduce georeferencing and walk through the steps and decisions one makes throughout the process. You will also learn how to upload and share your final georeferenced maps to ArcGIS Online.

This is a hands-on session where you will make use of the library’s extensive collection of local scanned map images. We’ll also bring in authoritative GIS data layers from Baltimore City and our Maryland State government. There is no prerequisite for this class. Some knowledge of GIS may prove useful. <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
8
Tue
Collector for ArcGIS @ Brody Learning Commons 4040, Homewood Campus
May 8 @ 4:00 pm – 6:00 pm

Learn how to use the Collector for ArcGIS application for data gathering out in the field. In this class we will practice setting up data collection templates and learn how templates integrate with ArcGIS Online and ArcGIS Pro. We will show and discuss configuration best practices and walk through an exercise editing data collected by multiple users. This is a hands-on session that will include the option to download the Collector application to your mobile device – iOS or Android. Weather permitting, we’ll head outdoors to preview data collection from the perspective of a student or field worker with no previous GIS experience. There is no prerequisite for this class. Some knowledge of GIS may prove useful. <Register here>

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>

 


News and Highlights


New Online Training Available For Data in Spreadsheets

Regardless of discipline studied or methods used, it is likely that researchers use some sort of spreadsheet application (e.g. Excel) to investigate, manipulate, or share research data. Though easy to exchange with other researchers, difficulties can arise when using... read more

Puerto Rico Hurricane Relief Map-a-thon

Please join us on a JHU Data Services event on October 5th to help the hurricane relief efforts in Puerto Rico. Date: Thursday, October 5, 3-5:30 PM (Pizza will be provided) Time: Great Hall at Levering (Homewood Campus) Join us for a map-a-thon to offer support to on... read more

Upcoming Open Science Framework Workshop on Halloween

Workshop on Reproducible Research Practices and the Open Science Framework on October 31st, 2017 Please join us for a workshop, hosted by the Center for Open Science and JHU Data Management Services (http://dms.data.jhu.edu), to learn easy, practical steps researchers... read more