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Data Deposit in a CKAN Repository: A Dublin Core-Based Simplified Workflow

  • Yulia KarimovaEmail author
  • João Aguiar Castro
  • Cristina Ribeiro
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 988)

Abstract

Researchers are currently encouraged by their institutions and the funding agencies to deposit data resulting from projects. Activities related to research data management, namely organization, description, and deposit, are not obvious for researchers due to the lack of knowledge on metadata and the limited data publication experience. Institutions are looking for solutions to help researchers organize their data and make them ready for publication. We consider here the deposit process for a CKAN-powered data repository managed as part of the IT services of a large research institute. A simplified data deposit process is illustrated here by means of a set of examples where researchers describe their data and complete the publication in the repository. The process is organised around a Dublin Core-based dataset deposit form, filled by the researchers as preparation for data deposit. The contacts with researchers provided the opportunity to gather feedback about the Dublin Core metadata and the overall experience. Reflections on the ongoing process highlight a few difficulties in data description, but also show that researchers are motivated to get involved in data publication activities.

Keywords

Research data management Metadata Dublin Core CKAN Data publication 

Notes

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 TAIL, POCI-01-0145-FEDER-016736. João Aguiar Castro is supported by research grant PD/BD/114143/2015, provided by the FCT - Fundação para a Ciência e a Tecnologia. Yulia Karimova is supported by research grant SFRH/BD/136332/2018, provided by the FCT - Fundação para a Ciência e a Tecnologia.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.INESC TEC, Faculty of EngineeringUniversity of PortoPortoPortugal

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