Data-related resources organized by JHU Data Services to guide you through your research from the beginning to the end. The following topics are included in this Resources page:
Plan Research Projects
- JHU grant support services
- Manage and organize literature
- How to write a DMP
- Funder’s requirements
- JHU policies
Webcast of ICTR Data Managers Interest Group panel by David Fearon, Robert Lawrence Findling, Todd Nesson, Joan Pettit, David R. Thiemann, Gayle Walters
A web-based tool that help researchers write DMPs. JHU users can log in here. Data Services provide FREE assistance in developing data management and sharing plans in either case and for ALL funding agencies. You can send completed DMPs to email@example.com for feedback.
A user-friendly page of tables and checklists that can be used to quickly evaluate data management plans. More information about the worksheet can be found here.
- Resources for Designing Experiments
- Access Existing Datasets
- Human Subject Research
GIS and Mapping
Data Management and Analysis
Interactive online tutorial about using file names to organize research data
Interactive HTML toolbox for data management specialists
- Collaboration tools
- Security and Backup
- Clinical Data Management
- Help with Statistics
- Big Data
- Software Development
Tips and set of questions researchers can use in determining whether a particular research data repository will work for their circumstances.
What is metadata, and what does it have to with research data? Find here a description of metadata for research data management and ten questions/guidelines you can use in developing comprehensive metadata for your project.
De-identify Human Subjects Data
ICTR Data Mangers Interest Group Panel (webcast) by Kathryn Carson, David Fearon, David Shade (12/1/2017)
ICTR Data Managers Interest Group Panel (Images, Audio/Video, and Text) by Ryan Fallon, Bill Geiger, Tom Richards, Fardad Gharghabi, David Fearon (2/23/2018)
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 types of identifiers and how to determine if your data have disclosure risk. You will also learn available JHU resources to help you with de-identifying data.
A list of de-identification software tools and applications that researchers can use in de-identifying their research data for more public sharing.
- Introduction to disclosure analysis and protection of personal and health identifiers in research data. This guide includes basic concepts and primary techniques focusing on preparing data for sharing with collaborators, repositories, or for public access.
- Downloadable guide for protecting and removing personal identifiers of research subjects for data sharing (JHU version) (non-JHU visitors version).