17 urn:lsid:arphahub.com:pub:8E638694-B4E0-570A-856A-746FF325BF6B Research Ideas and Outcomes RIO 2367-7163 Pensoft Publishers 10.3897/rio.8.e94244 94244 20429 Conference Abstract Industry innovation & infrastructure Quality education FAIR Points: From sdo:LearningResource to FAIR Digital Object El-Gebali Sara https://orcid.org/0000-0003-1378-5495 1 Erdmann Christopher https://orcid.org/0000-0003-2554-180X 2 Winston Donald donny@polyneme.xyz https://orcid.org/0000-0002-8424-0604 3 SciLifeLab, Stockholm, Sweden SciLifeLab Stockholm Sweden American Geophysical Union, Washington D.C., United States of America American Geophysical Union Washington D.C. United States of America Polyneme LLC, New York, United States of America Polyneme LLC New York United States of America

Corresponding author: Donald Winston (donny@polyneme.xyz).

Academic editor:

2022 12 10 2022 8 e94244 953007CA-3FE1-5BAE-B4D7-2A8ED36F2C93 This is an open access article distributed under the terms of the CC0 Public Domain Dedication.

The FAIRPoints organization, co-founded by the authors, aims to provide a platform for conversations to take place around realistic and pragmatic implementations of the FAIR (Findable, Accessible, Interoperable, Reusable) principles. The uniqueness of the FAIRPoints effort stems from an additional aim: to capture conversation contributions in the form of “bite-sized” objects – “points” – in a way that facilitates dynamic composition by instructors for the delivery of audience-customized training experiences. Thus, FAIRPoints aims to cultivate pragmatic learning resources to help realize the FAIR principles in practice, both through

inviting speakers to prime and lead discussions focused on choices/challenges regarding FAIR, and

amplifying downstream value potential by serializing “points” made during such events as FAIR resources.

Currently, event outcomes are serialized as LearningResource-typed JSON-LD objects in the schema.org sense, i.e. sdo:LearningResource, where @prefix sdo: <https://schema.org/> ., and conform to the bioschemas.org TrainingMaterial profile. However, any differences in participant perspectives must be reconciled, via git revision control, towards a single “view” of a sdo:LearningResource. This situation is at odds with other explicit aims of the FAIRPoints organization such as including diverse voices and collecting heterogeneous input from a global perspective.

Using the FAIR Digital Object (FDO) approach, a FAIRPoints sdo:LearningResource instance may be the Object to which an Identifier points, through an FDO Identifier Record, and sdo:LearningResource may be the FDO Type. Crucially, there may be a multiplicity of Metadata records pointed to by an FDO Identifier Record and thus a formal mechanism to cultivate and publish diverse perspectives.

This presentation will outline FAIRPoints’ approach to FDO implementation for learning resources and its relation to published practice. Specifically, in relation to the FAIR Digital Twins approach*1, our approach may be seen as the stewardship of a “fluid graph” of learning-resource “knowlets” with support for “qua” projection in service of e.g. an instructor’s dynamic composition of training material for a targeted workshop.

 schema.org community instruction learning education collaboration Presenting author

Donald Winston

 Presented at

First International Conference on FAIR Digital Objects, presentation

E. Schultes et al., “FAIR Digital Twins for Data-Intensive Research,” Front. Big Data, vol. 5, p. 883341, May 2022, doi: 10.3389/fdata.2022.883341.