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Requirements of DARIAH community for a Dataverse repository (SSHOC 2020)

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Requirements of DARIAH community for a Dataverse repository (SSHOC 2020)

  1. 1. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782 Discussion meeting Requirements of DARIAH community for a Dataverse repository Marion Wittenberg, KNAW/DANS Péter Király, GDWG SSHOC 5.2 SSHOC webinar Monday, September 28, 2020, 11.00 -12.30 CEST Online
  2. 2. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782 Content of this Presentation • Introduction with a few Mentimeter questions • SSHOC project • Dataverse for SSHOC • Introduction on Research Data Management • Demo session of Dataverse • Discussion with Mentimeter questions
  3. 3. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782 Duration: 40 months (January 2019 – 30 April 2022) Partners: 45 (20 beneficiaries + 25 LTPs) SSH ESFRI Landmarks and Projects & international SSH data infrastructures Project budget: € 14,455,594.08 Type of action & funding: Research and Innovation action (INFRAEOSC-04-2018) Project website: www.SSHopencloud.eu Objectives: • creating the social sciences and humanities (SSH) part of European Open Science Cloud (EOSC) • maximising re-use through Open Science and FAIR principles (standards, common catalogue, access control, semantic techniques, training) • interconnecting existing and new infrastructures (clustered cloud infrastructure) • establishing appropriate governance model for SSH-EOSC Project:
  4. 4. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782 SSHOC task 5.2 Hosting and sharing data repositories • Development of data repository for SSH researchers • Makes use of Dataverse software • 4 ERICs involved: DARIAH, CLARIN, EHRIS and CESSDA • Building mature infrastructure based on requirements of involved communities • Investigating sustainable governance models • Training Service Providers and institutes how to use Dataverse as a service
  5. 5. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782 Partners SSHOC task 5.2
  6. 6. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782 What is Dataverse? • Repository software for sharing and publishing datasets • Metadata and files (all kinds of file formats) • Roles and permissions for users to control access • Open Source Software developed by IQSS Harvard • Lot of other organisations contribute to the development of the software (Global Dataverse Community Consortium (GDCC)) • A few examples of the 55 dataverse services: • https://dataverse.nl - Netherlands • https://data.aussda.at - Austria • https://dataverse.harvard.edu - Harvard USA • https://dataverse.unc.edu - ODUM Institute USA • https://dataverse.ada.edu.au - Australia • https://dataverse.scholarsportal.info - Canada
  7. 7. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782 The main functionalities we are developing • Kubernetes pipeline (mature software development) • Development of previewers. • Development of data migration solutions from legacy archival technologies into Dataverse. • Translation service for translation of the UI in the European languages • Connection to localised PID providers • Integration of Apache Taverna VRE in Dataverse workflow. • Custom metadata support for Solr and Kubernetes. • Adjusting the metadata to domain specific needs (CESSDA CMM and CLARIN CMDI metadata ) • Interoperability with domain specific Controlled Vocabularies and Thesauri
  8. 8. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782 Research Data Management (RDM) (1) • organization • storage • preservation • sharing • Why? • reproducibility (verification, prevent plagiarism) • re-usability (others can build scientific models) } of data collected and used during the lifetime of a research project
  9. 9. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782 Research Data Management (RDM) (2) • policy and planning • rights (ownership, access, terms of use) • metadata • formats • data analysis • persistent identifier • long term archiving • big data, small data, extraordinary data
  10. 10. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782 DEMO
  11. 11. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782 Would you like to ‘play’ with dataverse Please use the demo site of DANS: https://demo.dataverse.nl/dataverse/general Note: User permissions for production dataverses are usually more restrictive
  12. 12. This project is funded from the EU Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782 Thank you for your attention! Questions? marion.wittenberg@dans.knaw.nl https://www.sshopencloud.eu info@sshopencloud.eu @SSHOpenCloud /in/sshopencloud Join our community

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