Speaker
Description
In recent years, funding agencies and scientific journals have started
requiring that research data is FAIR: Findable, Accessible,
Interoperable and Reusable. This is not an arbitrary decision. It
reflects the intrinsic value of research data if additional use were
possible; for example, to support new research, as reference data, or
as pedagogical material.
Although some general principals of FAIR data management adoption have
been investigate, each research community is individual and has unique
challenges when making their data FAIR. One important activity is to
tailor general approaches to match that community while finding
solutions for the community-specific aspects.
ExPaNDS is a 3½ year, EU-funded project to support the adoption of
FAIR data at European Photon and Neutron (PaN) facilities. Together
with PaNOSC (also EU-funded), ExPaNDS has established FAIR data as a
common goal within the European PaN community. ExPaNDS has provided
policies and procedures, developed software and supported software
adoption, all while providing training and outreach. Such activity
includes building portable analysis pipelines being used at facilites
with common instrument technologies or at horizontal compute
infrastructures, creating common terminology in the form of various
ontologies (making data findable and reusable), writing data
management policies (describing how to make data FAIR) and a
self-assessment procedure (allowing progress to be marked),
establishing best practice for Active DMPs and persistent identifiers
(PIDs) for dataset. Together, this is laying the groundwork for a
future data commons.
We will present the challenges faced by PaN facilities when adopting
FAIR data along with the many achievements of ExPaNDS in tackling
those challenges.
