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  re3data Conceptual Model for User Stories

Vierkant, P., Bertelmann, R., Cousijn, H., Elger, K., Ferguson, L. M., Goebelbecker, H.-J., Kindling, M., Kloska, G., Nguyen, T. B., Pampel, H., Petras, V., Schabinger, R., Schnepf, E., Semrau, A., Strecker, D., Trofimenko, M., Ulrich, R., Upmeier, A., Weisweiler, N. L., Wang, Y., Witt, M. (2021): re3data Conceptual Model for User Stories, re3data, 10 p.
https://doi.org/10.48440/re3.012

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re3data Conceptual Model for User Stories (version 1.0).pdf (Publisher version), 217KB
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https://doi.org/10.48440/re3.010 (Supplementary material)
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Cites: Strecker, D., Bertelmann, R., Cousijn, H., Elger, K., Ferguson, L. M., Fichtmueller, D., Goebelbecker, H.-J., Kindling, M., Kloska, G., Nguyen Thanh, B., Pampel, H., Petras, V., Schabinger, R., Schnepf, E., Semrau, A., Trofimenko, M., Ulrich, R., Upmeier, A., Vierkant, P., … Witt, M. (2021). Metadata Schema for the Description of Research Data Repositories: version 3.1 (Version 3.1). re3data. https://doi.org/10.48440/RE3.010

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 Creators:
Vierkant, Paul1, Author
Bertelmann, Roland1, 2, Author              
Cousijn, Helena1, Author
Elger, Kirsten1, 3, Author              
Ferguson, Lea Maria1, 2, Author              
Goebelbecker, Hans-Jürgen1, Author
Kindling, Maxi1, Author
Kloska, Gabriele1, Author
Nguyen, Thanh Binh1, Author
Pampel, H.1, 2, Author              
Petras, Vivien1, Author
Schabinger, Rouven1, Author
Schnepf, Edeltraud1, Author
Semrau, Angelika1, Author
Strecker, Dorothea1, Author
Trofimenko, Margarita1, Author
Ulrich, Robert1, Author
Upmeier, Arne1, Author
Weisweiler, Nina Leonie1, 2, Author              
Wang, Yi1, Author
Witt, Michael1, Author more..
Affiliations:
1re3data.org, External Organizations, ou_66030              
2Staff Scientific Executive Board, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146063              
3Library, Scientific Infrastructure and Platforms, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146062              

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Free keywords: research data; re3data.org; research data repositories
 Abstract: The primary goal of the conceptual model is to have a structured description of the service's architecture to improve and increase the usage of re3data (and its metadata) by third party services. Embedding re3data within the various stakeholder communities will advance re3data as a global information infrastructure for trustworthy research data repositories. A research data repository (RDR) is a subtype of a sustainable information infrastructure providing long-term storage of and access to research data. Research data are information objects generated in scholarly contexts, for example through experiments, measurements, surveys or interviews. re3data is a global registry of research data repositories that covers research data repositories from all academic disciplines. It presents repositories for the permanent storage of and access to research data sets for researchers, funding bodies, publishers, and scholarly institutions. re3data promotes a culture of sharing, increased access to, and better visibility of research data and other research outputs. re3data is a partner service of DataCite, a global not-for-profit organization that is actively involved in several initiatives to improve the availability and citation of research outputs. The re3data Conceptual Model for User Stories describes what kind of value the registry offers to its users. The model depicts the interactions between the service offered and its users based on use cases. It was released in 2021 in the context of the DFG-funded project re3data COREF.

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Language(s): eng - English
 Dates: 2021
 Publication Status: Finally published
 Pages: 10
 Publishing info: re3data
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.48440/re3.012
 Degree: -

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