Deploy resources on the FAIR Data Point
An Hourglass approach to a global Internet of FAIR Data and Services
FAIR is about automating the Findability, Accessibility, Interoperability and Reusability of digital resources populating the Internet. Although the formulation of FAIR Principles occurred relatively recently (2016), numerous infrastructure frameworks have been proposed over the last two decades that anticipated and, in many cases demonstrated, behaviors described by the FAIR Principles.
Among these frameworks are the Digital Object Architecture (first proposed by Kahn and Wilenski and more recently developed by the GEDE Working Group of RDA) which proposes abstraction layers for automated data operations. IBM’s Linked Data Platform, later to become a W3C standard, harnesses Semantic Web approaches emphasizing operations that are contingent on semantically rich (domain-relevant) descriptions. Later, the FAIR Data Point (GitHub), inspired by the Linked Data Platform, targeted development more explicitly related to the FAIR Principles.
The scalable and transparent ‘routing’ of data, algorithms, and compute mediated by FAIR Digital Objects or FAIR Data Points is the essential feature of the envisioned Internet of FAIR Data & Services (IFDS).
FDP working group
Driven by projects responding to the COVID-19 pandemic (both within the VODAN IN and elsewhere) an emerging global network of COVID-related FAIR Data Points is in development. The status of these deployments have been reported in the GO FAIR/ CODATA Convergence Symposium, November 30 to December 4, 2020.