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International Conference on Theory and Practice of Digital Libraries

TPDL 2017: Research and Advanced Technology for Digital Libraries pp 566–571Cite as

Social Dendro: Social Network Techniques Applied to Research Data Description

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10450))

Abstract

Research data management has become an integral part of the research workflow. Currently, concern with data appears mainly at the very last stages of projects, rather than being present from the moment of data creation. The goal of this work is to make data easier to find, share and reuse through early metadata production and in-group review. The approach proposed in this paper, Social Dendro, introduces social network concepts such as posts, shares and comments, in Dendro, our research data management platform. The implementation follows the ontology-based architecture of the platform. Results of a preliminary user test have provided insights for future improvements.

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Notes

  1. 1.

    Link: http://github.com/feup-infolab/dendro.

  2. 2.

    Link: https://www.w3.org/standards/semanticweb/.

  3. 3.

    Link: http://schema.org/.

  4. 4.

    Available at http://bloody-byte.net/rdf/dc_owl2dl.

  5. 5.

    Link: https://www.nngroup.com/articles/usability-101-introduction-to-usability/.

References

  1. Assante, M., et al.: Science 2.0 repositories: time for a change in scholarly communication. In: D-Lib Magazine 21.1/2 (2015). doi:10.1045/january2015-assante

  2. Borgman, C.L.: The conundrum of sharing research data. J. Am. Soc. Inf. Sci. Technol. 63(6), 1059–1078 (2012). doi:10.1002/asi.22634

    Article  Google Scholar 

  3. Dillo, I., Doorn, P.K.: The Dutch data landscape in 32 interviews and a survey. Reporting year: 2011. Data Archiving and Networked Services (DANS) (2011). ISBN: 978-94-90531-10-2

    Google Scholar 

  4. European Commission. Guidelines on Open Access to Scientific Publications and Research Data in Horizon 2020 (2013)

    Google Scholar 

  5. National Science Foundation. Grants.Gov Application Guide A Guide for Preparation and Submission of NSF Applications via Grants.gov (2011)

    Google Scholar 

  6. Rocha, J., Ribeiro, C., Lopes, J.C.: Ontology-based multi-domain metadata for research data management using triple stores. In: Proceedings of the 18th International Database Engineering & Applications Symposium (2014). doi:10.1145/2628194.2628234

  7. Rocha, J., et al.: The Dendro research data management platform: applying ontologies to long-term preservation in a collaborative environment. In: iPres Conference Proceedings (2014)

    Google Scholar 

  8. Yang, S.J.H., Chen, I.Y.L.: A social network-based system for supporting interactive collaboration in knowledge sharing over peer-to-peer network. Int. J. Hum. Comput. Stud. 66(1), 3650 (2008). doi:10.1016/j.ijhcs.2007.08.005

    Article  MathSciNet  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 Internationalization - 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.

Author information

Authors and Affiliations

  1. INESC TEC, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Nelson Pereira, João Rocha da Silva & Cristina Ribeiro

Authors
  1. Nelson Pereira
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  2. João Rocha da Silva
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  3. Cristina Ribeiro
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Corresponding author

Correspondence to Nelson Pereira .

Editor information

Editors and Affiliations

  1. Faculteit der Geesteswetenschappen, Universiteit van Amsterdam , Amsterdam, The Netherlands

    Jaap Kamps

  2. Library & Information Center, University of Patras , Patras, Greece

    Giannis Tsakonas

  3. Aristotle University of Thessaloniki , Thessaloniki, Greece

    Yannis Manolopoulos

  4. Civil Engineering, University of Thrace , Kimmeria, Greece

    Lazaros Iliadis

  5. Informatics, Ionian University , Kerkyra, Greece

    Ioannis Karydis

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© 2017 Springer International Publishing AG

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Pereira, N., da Silva, J.R., Ribeiro, C. (2017). Social Dendro: Social Network Techniques Applied to Research Data Description. In: Kamps, J., Tsakonas, G., Manolopoulos, Y., Iliadis, L., Karydis, I. (eds) Research and Advanced Technology for Digital Libraries. TPDL 2017. Lecture Notes in Computer Science(), vol 10450. Springer, Cham. https://doi.org/10.1007/978-3-319-67008-9_47

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  • DOI: https://doi.org/10.1007/978-3-319-67008-9_47

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67007-2

  • Online ISBN: 978-3-319-67008-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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