The Department of Energy's Office of Scientific and Technical Information hosted the first Data ID Service Workshop April 14, 2016 at SLAC in Palo Alto, CA. The workshop explored how researchers may better manage their datasets, obtain Digital Object Identifiers (DOIs) for their datasets, and current topics surrounding data collection and preservation.

The agenda below includes links to presentation materials.

Agenda

8:15 am:

Welcome, Introductions, Logistics (OSTI and SLAC)

8:45 am:

The DOE Data ID Service (What it is, How it Works) - Jannean Elliot, OSTI

9:15 am:

Today's Policy Environment for Scientific Data - Carly Robinson, OSTI

9:40 am:

Lively Q&A

10:00 am:

Break

10:15 am:

Registering Data from the LBNL Materials Project - Patrick Huck (LBL)

10:35 am:

Registering Data from DOE's Geothermal Data Repository - Jon Weers (NREL)

11:00 am:

Patricia Cruse, DataCite Executive Director - DOE, DOIs, and DataCite

12:00 pm:

Lunch (SLAC Conference Facility Food Court. Patio Reserved for our use)

1:00 pm:

The DOE Data Explorer (What it is; What can you discover) - Sara Studwell (OSTI)

1:15 pm:

Data Roundtable - Moderator: Carly Robinson (OSTI)

• Active Data Biology - Samuel Payne (PNNL)
• Ames Data Repository - Stacy Joiner (AMES)
• Open Discussion/Q&A for all attendees on topics such as:
  • What types of data do you currently work with?
  • What kinds of data-related questions do you get form customers?
  • What are your data management needs or concerns (data storage, federation of data repositories, metadata services, etc.)?

2:30 pm:

Break

2:45 pm:

Best Practices Panel: Data registration and the DOE Data ID Service

• Giri Palanisamy (ORNL) - Registering Data from the ARM Archive
• Ramie Wilkerson (ORNL): ORNL Visions :
  • Bundling Research Objects
  • A Data Service Center
• Open discussion on best pratices surfaced during the workshop, such as:
  • Creating metadata for discoverability
  • The crucial role of landing pages
  • Linking Data to Publications, data, and software
  • Citing datasets (Finding examples and guidance)

4:15 pm:

Wrap-up Activities