Data Management & Sharing (DMS) Webinar 3: Metadata and Data Standards for NIDDK Research Data

Event Details

Meeting Resources

• Meeting Summary (PDF, 204.43 KB)
• Watch the webinar video

Speaker Slides

• Matthew Schu (PDF, 1.27 MB)
• Todd Valerius (PDF, 2.81 MB)
• Sanjay Jain (PDF, 4.26 MB)
• Kenneth Young (PDF, 2.16 MB)

Purpose

“Metadata and Data Standards for NIDDK Research Data” will explore the importance and utility of metadata and data standards in maximizing the value of scientific data and explain how these standards intersect with the National Institutes of Health (NIH) DMS policy.

Meeting Objectives

Participants will learn—

• How to select appropriate metadata and data standards when drafting a DMS plan.
• Resources and tools for finding appropriate (meta)data standards for NIDDK research data.
• Lessons learned and best practices from NIDDK and NIH projects that have incorporated and implemented rigorous data and metadata schema.
• How (meta)data standards and schema enhance the quality of shared data.

Background

The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) is hosting a multipart NIDDK Data Management & Sharing (DMS) Webinar Series to conduct outreach to the NIDDK scientific community to provide education about data management and sharing.

Session 3 of the webinar series tackles the topic of properly preparing study data for maximal use and reuse by the scientific community. The incorporation of data standards and well-described metadata allows researchers to share their data efficiently, but how do investigators start this process? What needs to be done early in the planning phase to facilitate the submission of data to a repository? How do repositories and projects use data standards and metadata to make data accessible to other investigators? This webinar provides information about metadata and data standards to support investigators as they implement NIH DMS policy and to enhance the findability and reuse of shared scientific data.

Registration Deadline

June 27, 2023

Agenda

Tuesday, June 27, 2023

Session 3

12:00 p.m. – 12:05 p.m.

Welcome and Introductions
Jeran Stratford, Ph.D., RTI International

12:05 p.m. – 12:15 p.m.

Metadata and Data Standards—What and Why
Matthew Schu, Ph.D., RTI International

• Overview of key concepts around (meta)data standards and why standards are important
• The role of data dictionaries and standards in planning and designing a study
• Examples from the Nutrition Precision Health (NPH) initiative and the All of Us Research Program

12:15 p.m. – 12:25 p.m.

Establishing Data Structure to Increase Accessibility
M. Todd Valerius, Ph.D., Brigham and Women's Hospital, Harvard University

• The role of ontologies and controlled vocabularies in comparing and reusing data
• Assay-specific file and data structures to enable sharing and accessibility
• Interactive tools and increased accessibility driven by structured data

12:25 p.m. – 12:35 p.m.

Role of Data Standards in Quality and Harmonization
Sanjay Jain, Ph.D., Washington University in St. Louis

• Metadata and vocabulary for downstream quality and analytics
• Assay-specific considerations for data harmonization
• Helping researchers combine and compare data across species and consortia by using consistent vocabulary

12:35 p.m. – 12:45 p.m.

Implementation of Data and Metadata Standards—The Added Value
Kenneth Young, Ph.D., University of South Florida

• How implementing data and metadata standards adds value to data and facilitates reuse
• (Meta)data standards in The Environmental Determinants of Diabetes in the Young (TEDDY) study

12:45 p.m. – 1:00 p.m.

Moderated Discussion and Q&A