FAIR Digital Object Fabric IG Plenaries

Group Session February 26, 2022

A Fabric for FAIR Digital Objects

Plenary: RDA 19th Plenary meeting, part of International Data Week, Seoul, South Korea

Submitted by

Xin Chen

Meeting objectives

FAIR Digital Objects (FAIR DOs) describe a concept of virtual data objects that has been developed and used by RDA in various Working and Interest Groups. FAIR DOs may represent data, software, or other research resources. They are uniquely identified by a Persistent Identifier (PID) and metadata rich enough to enable them to be reliably found, used and cited.

FAIR DOs are currently discussed world-wide, in many RDA groups, in the European Open Science Cloud, the FDO Forum https://fairdo.org, as well as in other initiatives with the need to design and develop large integrative research data infrastructures to facilitate findability, accessibility, interoperability and reusability (FAIR).

In this session we would like to update the RDA Community with ongoing work in the FDO communities and related RDA groups. Engage members that may have become inactive over the past few years of virtual activities.

Meeting presenters

Ulrich Schwardmann, Chaoran Luo, Dimitris Koureas

Meeting agenda

Collaborative meeting notes: https://docs.google.com/document/d/1HgsVYrE76bCrmtsHkC1edi0M8qIlDxSz1cHQ…

Introduction to IG FAIR Digital Object Fabric – 5′ [Xin Chen]
Components and Services in an FDO-Framework – 20′ [Ulrich Schwardmann]
Internet of Data : An Infrastructure for Unified Digital Space – 15′ [Chaoran Luo]
Electirc Butterfiles : From Field to Bytes and Back – 15′ [Dimitris Koureas]
Spotlight on upcoming FAIR DO Conference – 10′ [Dimitris Koureas]
General Discussion and Closeout- 25′

Target audience

Anyone interested in FAIR Digital Objects and the FDO Community.

Focus will be on the Cyberinfrastructure fabric of services necessary to produce FDOs.

Additional links to informative material

European Commission (2018b). Turning FAIR into reality. Final report and action plan from the European Commission expert group on FAIR data. Luxembourg: European Commission. https://doi.org/10.2777/1524

RDA DFT Group: DFT Core Terms and Model; http://hdl.handle.net/11304/5d760a3e-991d-11e5-9bb4-2b0aad496318

RDA DTR Group: Data Type Registry; https://www.rd-alliance.org/group/data-type-registries-wg/outcomes/data-type-registries

RDA PID Kernel Information Working Group: Recommendation on PID Kernel Information; https://www.rd-alliance.org/group/pid-kernel-information-wg/outcomes/recommendation-pid-kernel-information

RDA FAIR4ML Group: Call Minutes; https://docs.google.com/document/d/1Af3KE-i7aXkMw_pYmAlTVLZnS97ruduo7zR7jVzIr98/edit#heading=h.dz7qsqzd88qu

IG FAIR DO Fabric:

https://www.rd-alliance.org/group/FAIR-digital-object-fabric-ig.html

https://www.rd-alliance.org/group/data-fabric-ig/wiki/rda-ig-data-fabric-fair-digital-objects

Collection of information about FAIR Digital Objects:

FAIR DO Publications (https://www.zotero.org/groups/2517421/fair_digital_objects/library )

FAIR DO: RDA Recommendations & Outputs

Project shares:

https://www.rd-alliance.org/group/data-fabric-ig/wiki/monthly-meetings

Short Group Status

The FAIR Digital Object Fabric IG identified that working with data in the many scientific labs and most probably also in other areas such as industry and governance is highly inefficient and too costly. Excellent scientists working on data-intensive science tasks are forced to spend about 75% of their time to manage, find, combine and curate data. What a waste of time and capacity. The FAIR DO Fabric is therefore looking at the data creation and consumption cycle to identify opportunities to optimize the work with data, to place current RDA activities in the overall landscape, to look at what other communities are doing in this area, and to foster testing and adoption of RDA outputs. The goal of FAIR DO Fabric finally is to identify common components and define their characteristics and services that can be used across boundaries in such a way that they can be combined to solve a variety of data scenarios such as replicating data in federations, developing virtual research environments, and automating regular data management tasks. Much important work is being done on data publishing and citation, but FAIR DO Fabric believes that we need to start at early moments in the “Data Fabrics” in the labs to organize, document, and manage data professionally if we want to meet the requirements of the coming decades.

Applicable Pathways

FAIR, CARE, TRUST - Adoption, Implementation, and Deployment
Data Infrastructures and Environments - Generalist

Avoid conflict with the following groups

CODATA/RDA Research Data Science Schools for Low and Middle Income Countries
Metadata IG
Research Data Management in Engineering IG