FAIR (Findable, Accessible, Interoperable, Reusable) is an international set of principles that apply to data, and other digital products, to promote application and re-use. Using the FAIR principles would improve the value of U.S. Geological Survey (USGS) data, tools, workflows, and systems by increasing their ease-of-use in downstream applications. FAIR products also would improve USGS projects efficiency in utilizing digital assets and tools.
A Roadmap is an apt metaphor for this project. Our report will include: present status of USGS application of FAIR principles; USGS goals for achieving compliance with the principles; identification of obstacles and opportunities on the path to these goals; and a process for managing USGS progress, considering the inevitability of unexpected obstacles and opportunities.
Our project plans to involve the broad range of USGS staff who create, manage, and use scientific data. The central activity will be a workshop in late summer 2019. Please visit the poster to learn how you can help by participating in the FAIR Workshop, completing a survey, or submitting a use case that will ensure the Roadmap meets the test of real data complexities.
Project team: Fran Lightsom, Viv Hutchison, Natalie Latysh, Linda Debrewer, David Govoni, Wade Bishop, Shelley Stall.
Science Support Framework Category: Science Data Lifecycle - Publishing/Sharing
Author(s): Fran Lightsom (firstname.lastname@example.org) - USGS Woods Hole Coastal and Marine Science Center