Data Management Best Practices for Repositories in the Sciences: How to Build Trust in Your Data Repository
American Geophysical Union
2000 Florida Avenue, NW
Washington, DC 20009
At this workshop you will learn about best practices for repositories across data management through an overview from strategy to operations that will help you establish trustworthiness of your repository among your research community.
Led by: Shelley Stall, Assistant Director, Enterprise Data Management Program (bio)
Who Should Attend:
- Teams or team members from large to small data repositories
- Managers and directors overseeing agency data efforts or data facilities
- Funders organizing data management plans
Cost: $450 per person (includes breakfast and lunch)
(select individual registration in the top right corner)
Housing: A hotel block is available with rooms at a discounted rate of $99/night plus tax on the nights of 4-5 January. The hotel is located one block away from AGU headquarters at:
The Washington Hilton
1919 Connecticut Ave NW
Washington, DC 20009
Reserve online or call (800) 774-1500 and use Code: AGU
After this workshop, you will understand:
- key practices to review and improve in your own organization through detailed examples.
- techniques for engaging both researchers submitting data and those searching for data to reuse.
- how these practices are applied across all the sciences.
- how to design elements of resiliency in your daily operations in order to have consistent and sustainable quality and growth.
- how to build trust in your data efforts across your organization and community through communication and transparency.
- how data management assessments can provide paths to certification (DSA-WDS or ISO) and help repositories support data publication, citation, credit, and data management plans.
This information will help your repository establish data repository trust with your research community by demonstrating:
- proper curation for each data submission including validation of metadata and assignment of persistent identifiers.
- good stewardship is in place documenting provenance and managing changes to the data.
- good customer service is available to researchers by setting and communicating expectations and methods.
- a reliable technical infrastructure has been designed to provide long-term access to data and provides the necessary features for proper data citation.