The Way to FAIR: from data collection to citation

Collaborative session notes: https://docs.google.com/document/d/1TcuSENTx6YBFOnmAsApZ3944CwBOYwEZx9yc...

The RDA FAIR Data Maturity Model WG’s goal is to develop and maintain an RDA recommendation on a common set of core assessment criteria for FAIRness, plus a self-assessment model suitable for a wide range of disciplines and applications. The RDA Persistent Identification of Instruments WG is exploring a community-driven solution for globally unique identification of measuring instruments operated in the sciences. This session will unite the goals of these working groups by discussing the integration and assessment of FAIR principles at an early stage of research (data collection) while enhancing and standardizing the metadata associated with instrumentation during data measurement and collection.

We propose to feature speakers from the FAIR Data Maturity Model and Persistent Identification of Instruments WGs to frame the discussion, plus 3 invited speakers with expertise in instrument development and integration of metadata collection to instrumentation across a range of scientific disciplines to speak to challenges and opportunities in this area. The plenary will begin with short presentations (5 min) from each speaker, followed by a moderated panel discussion. We propose to focus on the challenges facing data collection ranging from the bench scale (chemical and biological sciences) to complex global monitoring networks (often employed in earth and environmental sciences disciplines ranging from oceanography to atmospheric science).

Agenda: 

• 0-5 minutes: Introduction to the session. The motivation of exploring current work and interest for FAIR instrument data
• 5-15 min: Keith Russell, introduces the work of the FAIR Data Maturity Model WG.
• 15-25 min: Rolf Krahl, introduces the work of the Persistent Identification of Instruments WG

Instrument Use Cases

• 25-35 min: Pedro Luiz Pizzigatti Corrêa, University of São Paulo, Amazon Use Case

• 35-45 min: Charles Edward Catlett, Argonne National Laboratory, University of Chicago, Urban Environmental Sensor Use Case

• 45-55 min: Debora Pignatari Drucker, Embrapa Digital Agriculture, Airborne LIDAR Use Case

• 55-65 min: Stuart Chalk, University of North Florida, Chemical Analysis Use Case
• 65-85 min: Discussion (30 min - Moderated + Audience Questions)
• 85-90 min: Summary - goal-setting (outcomes)