Complex Data Citations: Formulating a Community Recommendation
Submitted by Shelley Stall
During a Town Hall at the AGU Fall Meeting in December 2020 the challenge of complex data citations was identified as an urgent concern within the Earth, space, and environmental sciences.
In specific, we hoped to address the use case of citing a large number of datasets (or other digital objects) such that credit for individual datasets/objects is assigned properly. Such collections of data may contain hundreds to millions of elements with a citation needing to include subsets of elements potentially from multiple collections. There are a number of terms used for this concept, to include Data Collection, Package, Crate and more. Infrastructure and guidance are still required to make it easier for researchers to use this type of citation and receive/give credit for the digital object used in the research. This is critical to enable reproducible research, and important for researchers to be able to trace citation and usage of their work and report on impact to funders. For policy makers it allows for accurate tracking of policy decisions to the supporting data.
In this BoF we want to share the work that happened during 2021 with a tenacious group of researchers, repositories managers, infrastructure, journal staff, and indexers to define the problem, a basic approach that applies to most variations, and some of the early drafts of the recommendations.
We want to engage with the broad RDA community to fully develop the recommendations and identify adopters.
We are especially inviting those with interest in PIDs (re: DOIs), FAIR Digital Objects, DOI Collections, repositories creating DOI collections, journals supporting citing DOI Collections, and Credit for the elements of a DOI Collection.
Collaborative session notes: https://docs.google.com/document/d/1Y6GKFg_Cyt2LkCLQQ67jX9T1-eXxZZI9ajZi...
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Introduction to challenge with complex data/digital object citations and current status (20 mins)
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Value of solving this problem: researchers, institutions, journals, infrastructure, funders, organisations (e.g., IPCC). (10 min)
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Overview of approaches (30 min)
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British Oceanographic Data Centre, Justin Buck and James Ayliffe
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German Climate Computing Center/IPCC DCC, Martina Stockhause
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Ameriflux, Deb Agarwal
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Discussion (25 min)
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Next steps (5 min)
Starting in December 2020 during a Data FAIR Town Hall at AGU’s large meeting we reached out across the community for interest in supporting virtual working sessions that would lead to recommendations, adoption, and a better of citing large numbers of data/digital objects in journal articles and other publications.
During 2021 we held three large working sessions as well as smaller group development efforts.
8 April 2021:
Develop a common agreement on the use case (and variations) as well as hear from those whom it affects. Materials and link to recording: Agarwal, Deborah, Coward, Caroline, Stall, Shelley, & Erdmann, Christopher. (2021, April). Data Citation Community of Practice - 8 April 2021 Workshop. Zenodo. http://doi.org/10.5281/zenodo.4673622
8 June 2021:
Presentations from different repository sse Cases:
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RO-Crate, Carole Goble
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BioStudies, Ugis Sarkans
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GBIF, Daniel Noesgaard
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Pangaea, Uwe Schindler
Infrastructure Elements:
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DOI Collection, Martin Fenner, DataCite
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Make Data Count, Martin Fenner, DataCite
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Scholix / OpenAire, Paolo Manghi
Workshop materials and link to recording: Agarwal, Deborah, Goble, Carole, Soiland-Reyes, Stian, Sarkans, Ugis, Noesgaard, Daniel, Schindler, Uwe, Fenner, Martin, Manghi, Paolo, Stall, Shelley, Coward, Caroline, Erdmann, Chris, 2021. Data Citation Community of Practice - 8 June 2021 Workshop. https://doi.org/10.5281/zenodo.4916734
29 October 2021:
We leaned into the term “reliquary” as a temporary word for a collection/package of other DOIs, PIDS, or links.
“Reliquary” Use Cases:
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British Oceanographic Data Centre, Justin Buck and James Ayliffe
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German Climate Computing Center/IPCC DCC, Martina Stockhause
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Ameriflux, Deb Agarwal
Workshop materials and link to recording: Stall, Shelley, Buck, Justin, Ayliffe, James, Stockhause, Martina, Agarwal, Deb, Coward, Caroline, & Erdmann, Chris. (2021, October 29). Data Citation Community of Practice - 29 October 2021 Workshop. Zenodo. https://doi.org/10.5281/zenodo.5641236
We are hopeful to bring awareness of this effort to the broad RDA community, and move forward using the RDA structure.
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Workshop Materials and links to recordings
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Agarwal, Deborah, Coward, Caroline, Stall, Shelley, & Erdmann, Christopher. (2021, April). Data Citation Community of Practice - 8 April 2021 Workshop. Zenodo. http://doi.org/10.5281/zenodo.4673622
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Agarwal, Deborah, Goble, Carole, Soiland-Reyes, Stian, Sarkans, Ugis, Noesgaard, Daniel, Schindler, Uwe, Fenner, Martin, Manghi, Paolo, Stall, Shelley, Coward, Caroline, Erdmann, Chris, 2021. Data Citation Community of Practice - 8 June 2021 Workshop. https://doi.org/10.5281/zenodo.4916734
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Stall, Shelley, Buck, Justin, Ayliffe, James, Stockhause, Martina, Agarwal, Deb, Coward, Caroline, & Erdmann, Chris. (2021, October 29). Data Citation Community of Practice - 29 October 2021 Workshop. Zenodo. https://doi.org/10.5281/zenodo.5641236
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