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</script>The data citation community of practice in the Earth, space, and environmental sciences (and related sciences) builds on discussions at the AGU Fall Meeting Data FAIR Town Hall, “Why Is Citing Data Still Hard?”. In this workshop we continue the discussion addressing the use case of citing a large number of datasets such that credit for individual datasets is assigned properly. Agenda: 1. Welcome and Introductions (Deb Agarwal) Community Use Cases: 2. RO-Crate, Carole Goble/Stian Soiland-Reyes [Slides: https://doi.org/10.5281/zenodo.4916168] 3. BioStudies, Ugis Sarkans 4. GBIF, Daniel Noesgaard 5. PANGAEA, Uwe Schindler Infrastructure Elements: 6. DOI Collection, Martin Fenner, DataCite 7. Make Data Count, Martin Fenner, DataCite 8. Scholix / OpenAire, Paolo Manghi (presented after Carole Goble) Discussion/Next Steps (Moderator: Deb Agarwal) Wrap Up (Deb Agarwal) Co-organizers: Caroline Coward, NASA JPL - Leading the development of the Community of Practice Deb Agarwal, Lawrence Berkeley National Laboratory - Leading the scoping of the first use case and will be the use case “owner” for this working session. Shelley Stall - AGU Sr. Director for Data Leadership helping to organize and support the effort. Chris Erdmann - AGU Assistant Director for Data Stewardship helping to organize and support the effort. Workshop Recording
{"references": ["Carole Goble, Stian Soiland-Reyes, & Oscar Corcho. (2021, June). Packaging and describing Data Collections with RO-Crate. Presented at the 2nd Workshop of the Data Citation Community of Practice for Earth, Space, and Environmental Sciences (and Related Sciences) (DataCitationCoP), AGU Data Citation Community of Practice: Zenodo. http://doi.org/10.5281/zenodo.4916168"]}
DOI Collection, Data Citation
DOI Collection, Data Citation
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 21 | |
| downloads | 38 |

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