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Group Session July 2, 2024

Data Citation WG – Assisting data infrastructures in making their data precisely identifiable and citeable

Plenary: RDA 23rd Plenary Meeting – San José, Costa Rica

Submitted by
Andreas Rauber
Open collaborative note
Recording

Meeting objectives

The WG on Data Citations has released recommendations on how a data infrastructure can make arbitrary datasets precisely identifiable and citeable. The goal of the adoption sessions is to facilitate exchange between groups that have been implementing the recommendations and groups that are interested in implementing them within their own infrastructure. We want to share lessons learned, challenges identified, or to discuss concerns with respect to certain parts of the recommendations, clarify questions, establish contact with experts who may have addressed a specific setting for data citation already. We further want to help institutions interested in implementing the recommendations, or who want to discuss specific aspects of the recommendations, to join this meeting so that we can foster adoption and improve the recommendations where needed.

Furthermore, we have initiated the process of revising the recommendations, incorporating lessons learned from several years of deployment and adoptions across many settings. This session will serve to collect feedback on the proposed revisions,and to raise issues to be addressed.

We will thus, as part of this session:

– Re-visit the recommendations and answer questions concerning specific aspects
– Discuss the current status of the revision of the recommendations following initial discussions at P20
– Present new adopters’ approaches, solutions and implementations
– DBRepo: Database Repository supporting data citation: report from installations in Austria, Germany, Malaysia and the Philippines
– : Discuss feedback from adopters
Discuss of novel application domains such as versioning on-line learning/AI systems, cross-links to reproducibility in science, EU-AI regulation, etc.
Identify the next steps forward, adaptations required, etc.

Meeting presenters

Andreas Rauber|Mark Parsons|

Meeting agenda

1. Short presentation of the WG recommendations (for newcomers)
2. Reports on use cases, adoptions in progress
3. Presentations by institutions considering adoption, specific setting, challenges identified, …
4. Discussion of novel application domains such as versioning on-line learning/AI systems, cross-links to reproducibility in science, EU-AI regulation
5. Other issues, next steps

Target audience

– Data Center Operators wishing to provide precise identification and citation services
– Researchers wanting to encourage their data center operators to provide data identification and citation services

Group Activities and Scope

The RDA Working Group on Data Citation (WG-DC) brings together experts addressing the issues, requirements, advantages and shortcomings of existing approaches for efficiently identifying and citing arbitrary subsets of (potentially highly dynamic) data. It’s recommendations are based upon on (1) time-stamping and versioning changes to evolving data and (2) identifying arbitrary subsets by assigning PIDs to the queries selecting the according subsets and are applicable across all types of data, such as e.g. collections of files, relational databases, multidimensional data cubes or regions in images..

The WGDC Recommendations in the short form of a 2-page flyer are available at:
https://www.rd-alliance.org/system/files/documents/RDA-DC-Recommendations_151020.pdf
(http://dx.doi.org/10.15497/RDA00016)
An extended Description of Recommendations is available at: Bulletin of the IEEE Technical Committee on Digital Libraries, 12:1, 2016. (https://zenodo.org/record/4048304)

Webinar recordings as well as slide sets and supporting papers by adopters presenting their experience in implementing the recommendations are collected at the RDA WGDC webinar page at
https://www.rd-alliance.org/group/data-citation-wg/webconference/webconference-data-citation-wg.html

A comprehensive review of the recommendations, the wide range of reference implementations as well as a survey of all adoptions reported over the years has recently been published in the Harvard Data Science Review: Rauber, A., Gößwein, B., Zwölf, C. M., Schubert, C., Wörister, F., Duncan, J., … Parsons, M. A. (2021). Precisely and Persistently Identifying and Citing Arbitrary Subsets of Dynamic Data. Harvard Data Science Review, 3(4). https://doi.org/10.1162/99608f92.be565013

Slide decks from the previous plenary meetings are available in the WG file repository at https://www.rd-alliance.org/node/141/file-repository

Additional links to informative material

A comprehensive review of the recommendations and adoptions is available in the Harvard Data Science Review: Rauber A., Gößwein B., Zwölf C.M., Schubert C., Wörister F., Duncan J. … Parsens M. (2021). Precisely and Persistently Identifying and Citing Arbitrary Subsets of Dynamic Data. Harvard Data Science Review 3(4). https://doi.org/10.1162/99608f92.be565013|* The WGDC Recommendations in the short form of a 2-page flyer are available at: https://www.rd-alliance.org/system/files/documents/RDA-DC-Recommendations_151020.pdf (http://dx.doi.org/10.15497/RDA00016)|An extended Description of Recommendations is available at: Bulletin of the IEEE Technical Committee on Digital Libraries 12:1 2016. https://www.rd-alliance.org/group/data-citation-wg/webconference/webconference-data-citation-wg.html|Webinar recordings as well as slide sets and supporting papers by adopters presenting their experience in implementing the recommendations were collected (and will, we hope, soon be available again) at the RDA WGDC webinar page at https://www.rd-alliance.org/group/data-citation-wg/webconference/webconference-data-citation-wg.html

Short Group Status

The Data Citation WG has delivered its outputs and is now primarily focusing on supporting adoption by maintaining these outputs, assisting institutions in implementing the recommendations and sharing the lessons learned.
We have further initiated the process of revising the recommendations, incorporating lessons learned from several years of deployment and adoptions across many settings. This session will serve to collect feedback on the proposed revisions, and to raise issues to be addressed.

Estimate of the required venue room capacity

Under 50 seats

Applicable Pathways

FAIR, CARE, TRUST - Adoption, Implementation, and Deployment
Data Infrastructures and Environments - Discipline Focused
Data Lifecycles - Versioning, Provenance, Citation, and Reward

Please indicate at least (3) three breakout slots that would suit your meeting.

Breakout 1. Tuesday, 12 November, 16:00-17:30 UTC
Breakout 4. Wednesday, 13 November, 16:00-17:30 UTC
Breakout 5. Wednesday, 13 November, 18:30-20:00 UTC
Breakout 6. Thursday, 14 November, 16:00-17:30 UTC
Breakout 7. Thursday, 14 November, 18:30-20:00 UTC