About

Background

The GO FAIR US Support and Coordination Office is hosted by the San Diego Supercomputer Center (SDSC), University of California San Diego. SDSC is involved in other related and high profile research data efforts, including the US National Science Foundation-funded West Big Data Innovation Hub and the US National Data Service (NDS). The US NDS, based at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana Champaign, with Christine Kirkpatrick as Executive Director, was founded by a consortium that included academia, government, infrastructure providers, and non-profit institutions interested in creating and bridging evolving technologies and platforms that support the publication, discovery, and reuse of data. GO FAIR US was established in February 2019 as one of the first GO FAIR national offices, see the press release announcing the office start along with the declaration.

  • Christine Kirkpatrick

    GO FAIR US Office Head, SDSC/UC San Diego

  • Alexandra Andreiu

    GO FAIR US Office Project Manager, SDSC/UCSD

  • Chris Erdmann

    GO BUILD Chair, Head of Open Science at SciLifeLab Data Centre

  • Katie Knight

    GO TRAIN Chair, Oak Ridge National Laboratory

  • Nancy Hoebelheinrich

    Ambassadors Chair, Knowledge Motifs LLC

  • Natalie Meyers

    GO FAIR US Office, Notre Dame

  • Juliane Schneider

    GO FAIR US Office, PNNL

  • Julie Christopher

    GO FAIR US Project Office

Focus

The GO FAIR US Support and Coordination Office focuses on building awareness of the FAIR Principles, connecting relevant FAIR stakeholders, and creating space for open discussions on the topic of FAIR.

Goals

Within the general guidelines for involvement in GO FAIR at the country/region level, the US Office, commits to the following activities in the context of science and innovation:

  • Connect and partner with FAIR stakeholders, e.g. researchers, infrastructure providers, institutions, publishers, agencies, industry, libraries, and funders.

  • Highlight and foster community discussions on the topic of FAIR. For example, FAIR in AI, software, data science, model commons, new scholarship methods, e.g. notebooks.

  • Be a place where FAIR training and assessment approaches and material can be shared and advanced collaboratively.

  • Liaise with GO FAIR International Support and Coordination Office (GFISCO).

  • Build awareness of GO FAIR Implementation Network (IN) activities in the US and worldwide.

  • Respond rapidly to evolving needs, such as integration and expansion of the Virus Outbreak Data Network (VODAN).

Our Partners

GO FAIR US is engaged with other leaders in research data, including these important partners.