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End-to-End Research Data Management Workflows

A Case Study with Dendro and EUDAT

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Metadata and Semantics Research (MTSR 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 672))

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Abstract

Depositing and sharing research data is at the core of open science practices. However, institutions in the long tail of science are struggling to properly manage large amounts of data. Support for research data management is still fragile, and most existing solutions adopt generic metadata schemas for data description. These might be unable to capture the production contexts of many datasets, making them harder to interpret. EUDAT is a large ongoing EU-funded project that aims to provide a platform to help researchers manage their datasets and share them when they are ready to be published. DataPublication@U.Porto is an EUDAT Data Pilot proposing the integration between Dendro, a prototype research data management platform, and the EUDAT B2Share module. The goal is to offer researchers a streamlined workflow: they organize and describe their data in Dendro as soon as they are available, and decide when to deposit in a data repository. Dendro integrates with the API of B2Share, automatically filling the standard metadata descriptors and complementing the data package with additional files for domain-specific descriptors. Our integration offers researchers a simple but complete workflow, from data preparation and description to data deposit.

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Notes

  1. 1.

    https://www.eudat.eu/.

  2. 2.

    https://figshare.com/.

  3. 3.

    http://zenodo.org/.

  4. 4.

    http://dendro.fe.up.pt/demo.

  5. 5.

    An example of a deposited dataset: b2share.eudat.eu/record/404.

References

  1. Amorim, R.C., Castro, J.A., da Silva, J.R., Ribeiro, C.: LabTablet: semantic metadata collection on a multi-domain laboratory notebook. In: Closs, S., Studer, R., Garoufallou, E., Sicilia, M.-A. (eds.) MTSR 2014. CCIS, vol. 478, pp. 193–205. Springer, Heidelberg (2014). doi:10.1007/978-3-319-13674-5_19

    Google Scholar 

  2. Amorim, R.C., Castro, J.A., da Silva, J.R., Ribeiro, C.: A comparison of research data management platforms: architecture, flexible metadata and interoperability. Univ. Access Inf. Soc., 1–12 (2016). doi:10.1007/s10209-016-0475-y

    Google Scholar 

  3. Assante, M., Candela, L., Castelli, D., Tani, A.: Are scientific data repositories coping with research data publishing? Data Sci. J. 15, 6 (2016). doi:10.5334/dsj-2016-006

    Article  Google Scholar 

  4. Castro, J.A., da Silva, J.R., Ribeiro, C.: Creating lightweight ontologies for dataset description: practical applications in a cross-domain research data management workflow. In: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (2014) doi:10.1109/JCDL.2014.6970185

  5. Heidorn, P.B.: Shedding light on the dark data in the long tail of science. Libr. Trends 57(2), 280–299 (2008). doi:10.1353/lib.0.0036

    Article  Google Scholar 

  6. Rice, R., Haywood, J.: Research data management initiatives at University of Edinburgh. Int. J. Digit. Curation 6(2), 232–244 (2011). doi:10.2218/ijdc.v6i2.199

    Article  Google Scholar 

  7. da Silva, J.R., Ribeiro, C., Lopes, J.C.: The Dendro research data management platform: applying ontologies to long-term preservation in a collaborative environment. In: iPRES Conference Proceedings (2014)

    Google Scholar 

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Acknowledgements

This work is financed by the ERDF—European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme and by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia within project POCI-01-0145-FEDER-016736.

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Authors and Affiliations

  1. INESC TEC—Faculdade de Engenharia da Universidade do Porto, Porto, Portugal

    Fábio Silva, Ricardo Carvalho Amorim, João Aguiar Castro, João Rocha da Silva & Cristina Ribeiro

Authors
  1. Fábio Silva
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  2. Ricardo Carvalho Amorim
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  3. João Aguiar Castro
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  4. João Rocha da Silva
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  5. Cristina Ribeiro
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Corresponding author

Correspondence to Cristina Ribeiro .

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Editors and Affiliations

  1. Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Alexander Technological Educational Inst , Rome, Italy

    Imma Subirats Coll

  3. Sapienza University of Rome , Rome, Italy

    Armando Stellato

  4. Drexel University, Philadelphia, Pennsylvania, USA

    Jane Greenberg

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Silva, F., Amorim, R.C., Castro, J.A., da Silva, J.R., Ribeiro, C. (2016). End-to-End Research Data Management Workflows. In: Garoufallou, E., Subirats Coll, I., Stellato, A., Greenberg, J. (eds) Metadata and Semantics Research. MTSR 2016. Communications in Computer and Information Science, vol 672. Springer, Cham. https://doi.org/10.1007/978-3-319-49157-8_32

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  • DOI: https://doi.org/10.1007/978-3-319-49157-8_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49156-1

  • Online ISBN: 978-3-319-49157-8

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