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Research data management: DMP & repository

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Presentació a càrrec de Mireia Alcalá, tècnica de Recursos d'Informació al CSUC, duta a terme al workshop en línia "Research Data Management & Open Science" organitzat per l'IDIBELL el 2 de novembre de 2020.

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Research data management: DMP & repository

  1. 1. Research Data Management DMP & repository Mireia Alcalá Consortium of University Services in Catalonia. Open Science Area Workshop: Research Data Management & Open Science (02.11.20) – IDIBELL
  2. 2. Publications and data  DATA: ‘any information that has been collected, observed, generated or created to validate original research findings’  OPEN (RESEARCH) DATA: ‘are online, free of cost, accessible data that can be used, reused and distributed provided that the data source is attributed’ (FOSTER) (FOSTER)
  3. 3. Making data FAIR  In 2014, a core set of principles were drafted in order to optimize the reusability of research data, named the FAIR Data Principles: • Findable: Assign persistent IDs, provide rich metadata, register in a searchable resource... • Accessible: Retrievable by their ID using a standard protocol, metadata remain accessible even if data aren’t... • Interoperable: Use formal, broadly applicable languages, use standard vocabularies, qualified references... • Reusable: Rich, accurate metadata, clear licenses, provenance, use of community standards…
  4. 4. Horizon 2020 and the RDM  In the 2014-16, the Open Research Data pilot included only selected areas of Horizon 2020  But, in 2017, the pilot has been extended to cover all the thematic areas of the program.  Addresses two things at one: • Streamlining RDM as a standard practice through Data Management Plans (DMPs): required as deliverable • Open access to research data- ‘as open as possible, as closed as necessary’ (Opt-out options for IPR, confidentiality/privacy and security reason as well as if OA runs against the main objective of the project.)
  5. 5. Research Data Management: CSUC’s vision Size Projects Policies DMP Training&Promotion Repository We support universities & research centers to ensure that the management of their research data adapt to the requirements of funding bodies following the FAIR principles
  6. 6. Training and promotion  Training • At CSUC level (inviting experts) coordinated with i-CERCA – 5 courses (177 participants) – 2020-2021: 4 courses scheduled • At university level (organizing staff courses)  Promotion • Article in LQ (DOI: 10.18352/lq.10253) • Infographics • Videos
  7. 7. Data policy Promote the implementation of research data policies • Framework agreement for open access to research data (2016) supported by the vice rectors for Research of the Universities of Catalonia – Topics: – Open Access as a default – Responsibilities – Retention and storage – Data Management Plan – Costs – Preservation – Support and monitoring • Template (2018) for drawing up an institutional data policy, following the above recommendations and others proposed by LEARN – UB and UAB have approved their policy following this template
  8. 8.  DMP is a formal document that outlines how data must be handled both during a research project and after the project is completed, and helps you with: • Which data will be created • Standards and methodologies to be used, documentation • How ethics an Intellectual Property will be addressed • Plans for storage and backup • Plans for data sharing and access • Strategy for long-term preservation Data Management Plan (DMP)
  9. 9.  Many funders require DMPs  For this reason, the main objective of the 1st action was focused on supporting researchers in creating their DMPs  2016: 1st version of • Updated in 2018 and revised periodically  eiNa DMP is • Created collectively • Used at personal / institutional level  The tool includes guides, descriptions and real examples for: • Horizon 2020 • European Research Council (ERC) • Plan Estatal de Investigación Científica • Software Sustainability Institute • PhDs Supporting DMPs
  10. 10.  eiNa DMP (dmp.csuc.cat) is a free online tool that allows you to: • Create: answer the questions and you’ll get a DMP FAIR. • Share: collaborate with other researchers by giving them read-only, writing or co-owning permissions. • Export: convert your document to DOC, PDF, XML… eiNa DMP  Instance of DMPRoadmap • Open source software • Distributed under the MIT license • Developed by the Digital Curation Center and the University of California Curation Center
  11. 11. DMP – Collective template jointly maintained
  12. 12. eiNa DMP
  13. 13. Sharing data This guide provides sources for consulting: • disciplinary repositories (directories, publishers' recommendations, etc.). • multidisciplinary repositories (a comparative table showing the type of data allowed, the file size, the associated licenses, the cost of depositing, etc.).
  14. 14. Creating a FAIR data repository Nº of projects Size and complexity  The vice-rectors for research of the Universities of Catalonia decided to commission a report that would determine the reasonable functional requirements that a data repository must have in order to comply with the FAIR requirements.  The report “Feasible, Affordable and Implementable Requirements for a FAIR data repository”: • Analyzes the references from other countries • Studies some technical reports • Interviews 25 experts • Determines 25 functional requirements • Proposes final recommendations http://hdl.handle.net/2072/356460
  15. 15. DataverseCAT  FAIR research data repository  Federated  Multidisciplinary  For open research data  For researchers from CSUC universities and CERCA centers
  16. 16. Dataverse software  An open-source platform to publish, cite, and archive research data  Built to support multiple types of data, users, and workflows  Developed at Harvard’s Institute  More than 60 installations around the world • In Europe, federated cases: DataverseNL (Netherlands), DataverseNO (Norway)
  17. 17. Instances, organization & datasets UB UAB URV Altres UPC UdG i-CERCA UPF
  18. 18. Deposit process
  19. 19. FAIR implementation in Dataverse  Findable • Assign DataCite DOIs • Metadata standards in human and machine-readable formats • ID is in the metadata tab of the dataset and file landing page • DataCite metadata is registered and indexed by DataCite Search (& Google Dataset Search)  Accessible • Support for HTTP, APIs,.. • Open metadata even if data are restricted  Interoperable • Linked data (JSON, XML..) • Controlled vocabularies • Metadata templates  Reusable • Licenses • Access and use terms • Full data citation • Versioning • File format conversion
  20. 20. FAIR Data in Dataverse Data Citation with Persistent Identifier (DOI) Data files Metadata Data licenses, User agreements Versioning
  21. 21. DataverseCAT, a repository to develop expertise and good practices • DataCite metadata • Standards and vocabularies • File naming and organizing folders • Readme.txt • Licenses • Data citation • Storing data • Anonimization • Open formats • …
  22. 22. Thank you! Mireia Alcalá mireia.alcala@csuc.cat

Presentació a càrrec de Mireia Alcalá, tècnica de Recursos d'Informació al CSUC, duta a terme al workshop en línia "Research Data Management & Open Science" organitzat per l'IDIBELL el 2 de novembre de 2020.

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