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OpenAIRE and Eudat services and tools to support FAIR DMP implementation

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Presentation by Paola Gargiulo, CINECA, at RDA National Event in Florence, Italy, November 2016

Publié dans : Données & analyses

OpenAIRE and Eudat services and tools to support FAIR DMP implementation

  1. 1. Credits: OpenAIRE team Sarah Jones, Data Curation Centre, DCC (UK) Marjon Grootweld, Dans (NL) Natalia Manola, ATR (GR) FAIR Data Management: best practices and open issues Paola Gargiulo, OpenAIRE NOAD/Cineca OpenAIRE and Eudat services and tools to support FAIR DMP implementation
  2. 2. Agenda • The Open Research Data Pilot • The data management plan • OPENAIRE tools and services for the Data Pilot • EUDAT data services 2
  3. 3. Open Research Data Pilot (2015- 2016): aims To make the research data generated by selected Horizon 2020 projects accessible with as few restrictions as possible, while at the same time protecting sensitive data from inappropriate EC: information already paid for by the public should not be paid for again. Open data is data that is free to access and reuse
  4. 4. To whom does the Data Pilot concern? Current situation 2015-2016: • Researchers funded by Horizon 2020 within 9 specified call areas. • Opt out and opt in are possible and are being used • Call areas: https://www.openaire.eu/opendatapilot As of 2017: • European Cloud Initiative to give Europe a global lead in the data- driven economy. • Open data will become the default option. The pilot will be extended to cover all call areas. Opting out remains possible. • Press release: http://europa.eu/rapid/press-release_IP-16- 1408_en.htm Daniel Spichtinger (EC) at OpenCon 14-11-15: 3,699 Horizon 2020 signed grant agreements – 149/431 projects in core areas opted out - 409/3268 projects in other areas opted in 4
  5. 5. Which research has to partipate in the pilot? (2015- 2016) • Future and Emerging Technologies • Research infrastructures – (new: coverage of the whole area) • Leadership in enabling and industrial technologies – Information and Communication Technologies • Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology: ‘nanosafety’ and ‘modelling’ topics (new) • Societal Challenge: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy - selected topics as specified in the work programme (new) • Societal Challenge: Climate Action, Environment, Resource Efficiency and Raw materials – except raw materials • Societal Challenge: Europe in a changing world – inclusive, innovative and reflective Societies • Science with and for Society 5
  6. 6. Horizon 2020 Open Data by Default from 2017 Just announced!
  7. 7. Two types of data: Data, including metadata, needed to validate the results in scientific publications Other data, including metadata, as specified in the Data Management Plan, like raw data
  8. 8. The following slides come from the EC’s open access team and provide an overview to the key points. Content from Jean-Francois Dechamp and colleagues. Mail: RTD-open-access@ec.europa.eu Web: http://ec.europa.eu/research/openscience/index.cfm Twitter: @OpenAccessEC RDA National Event in Italy, 14-15 November 2016 8
  9. 9. Publications Openly accessible and minable. Eligible costs for APCs. Research data Openly accessible research data can typically be accessed, mined, exploited, reproduced and disseminated free of charge for the user.
  10. 10. Three top reasons to opt out Whether a (proposed) project participates in the ORD or chooses to opt out does not affect the evaluation of that project. Proposals will not be penalised for opting out
  11. 11. Reasons for opting out: 14 • participation is incompatible with the Horizon 2020 obligation to protect results that can reasonably be expected to be commercially or industrially exploited; • participation is incompatible with the need for confidentiality in connection with security issues; • participation is incompatible with rules on protecting personal data; • the project will not generate / collect any research data; or • there are other legitimate reasons not to take part in the Pilot. • Note that partial opt out is possible – and preferable to full opt out!
  12. 12. http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf
  13. 13. FAIR data • 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 licences, provenance, use of community standards...
  14. 14. Findable • Use metadata and specify standards for metadata creation (if any). If there are no standards in your discipline describe what type of metadata will be created and how • Search keywords • Persistent and unique identifiers such as DOIs or other handles • File and folder naming conventions • Versioning of the datasets and clear version numbers 18
  15. 15. Metadata and documentation • Metadata and documentation is needed to find and understand research data • Think about what others would need in order to find, evaluate, understand, and reuse your data • Get others to check the metadata to improve quality • Use standards to enable interoperability 19
  16. 16. Where to find metadata standards Metadata Standards Directory Broad, disciplinary listing of standards and tools Maintained by RDA group http://rd-alliance.github.io/metadata- directory Biosharing A portal of data standards, databases, and policies for life, environmental and biomedical sciences https://biosharing.org 20
  17. 17. Accessible • Explain which data can’t be shared openly, if any • Specify how access will be provided in case of restrictions, e.g., through a data committee, a license, or arranged with the repository • Will methods or software tools needed to access the data (if any) be included or documented? • Deposit the data and associated metadata, documentation and code preferably in certified repositories which support Open Access 21
  18. 18. Where to find a repository? More information: https://www.openaire.eu/opendatapilot-repository What to deposit? a. the data needed to validate the results presented in scientific publications, including the metadata; b. any other data, including the metadata, as specified in the DMP; c. plus for a-b the documentation and the tools that are needed to validate the results, e.g. specialised software or software code, algorithms and analysis protocols (when possible, these instruments themselves). 22
  19. 19. Shop around http://databib.org http://service.re3data.org Re3data is a registry of data repositories RDM Seminar @ ISERD, Tel Aviv - Oct 1, 2016 Searching with Re3data.org www.fosteropenscience.eu/content/re3data-demo 23
  20. 20. Interoperable • Interoperability on data and metadata, on data exchange formats and protocols • Specify what data and metadata vocabularies, standards or methodologies you will follow to facilitate interoperability • Standard vocabulary to allow inter-disciplinary interoperability or a mapping from your vocabulary to more commonly used ontologies? Aim for compliance to globally accepted practices RDM Seminar @ ISERD, Tel Aviv - Oct 1, 2016 24
  21. 21. • Clarify licences early on • License the data to permit the widest reuse possible • Specify a data embargo, if needed • If data re-use by third parties is restricted, explain why • How long will the data remain reusable? • Describe data quality assurance processes Reusable RDM Seminar @ ISERD, Tel Aviv - Oct 1, 2016 25
  22. 22. www.dcc.ac.uk/resources/how-guides/license-research-data License research data openly DCC guide outlines the pros and cons of each approach and gives practical advice on how to implement your licence CREATIVE COMMONS LIMITATIONS NC Non-Commercial What counts as commercial? ND No Derivatives Severely restricts use These clauses are not open licenses Horizon 2020 Open Access guidelines point to: or RDM Seminar @ ISERD, Tel Aviv - Oct 1, 2016 26
  23. 23. PLANNING DATA MANAGEMENT 27
  24. 24. What is a data management plan? A plan written at the start of a project to define: • how the data will be created? • how it will be documented? • who will access it? • where it will be stored? • who will back it up? • whether (and how) it will be shared & preserved? DMPs are often submitted as part of grant applications, but are useful whenever researchers are creating data The DMP is a living document. You are not required to provide detailed answers to all the questions in the first version of the DMP (due M6) 28 Explain any selection criteria in the DMP
  25. 25. When to submit the DMP • Note that the Commission does NOT require applicants to submit a DMP at the proposal stage. • A DMP is therefore NOT part of the evaluation. • DMPs are a deliverable • Note that the Commission requires updates. A DMP is a living or “active” document.
  26. 26. What aspects of RDM should be in a DMP?  What data will be created (format, types, volume...)  Standards and methodologies to be used (incl. metadata)  How ethics and Intellectual Property will be addressed  Plans for data sharing and access  Strategy for long-term preservation Create Document Use Store Share Preserve A DMP is a plan to share!
  27. 27. What should be deposited? • The data needed to validate results in scientific publications (minimally!). • The associated metadata: the dataset’s creator, title, year of publication, repository, identifier etc. • Follow a metadata standard in your line of work, or a generic standard, e.g. Dublin Core or DataCite., and be FAIR. • The repository will assign a persistent ID to the dataset: important for discovering and citing the data. • Documentation like code books, lab journals, informed consent forms – domain- dependent, and important for understanding the data and combining them with other data sources. • Software, hardware, tools, syntax queries, machine configurations – domain- dependent, and important for using the data. (Alternative: information about the software etc.) Basically, everything that is needed to replicate a study should be available for others. Research Data Alliance (RDA) http://rd-alliance.github.io/metadata-directory/standards/ FAIR Guiding Principles for scientific data management http://www.nature.com/articles/sdata201618 31
  28. 28. Archive the data openly, unless… • Confidentiality and security issues can be good reasons not to publish or share – all – data. Note in the DMP the reasons for not giving access, and deposit that part of the data under a Restricted Access regime. • When regenerating data would be cheaper than archiving, don’t archive. Spend time on selecting what data you’ll need and want to retain. Motivate your criteria in the DMP. See http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf For selection criteria see https://www.openaire.eu/opendatapilot 32 Grant Agreement, Art. 29.3, Open Access to research data:
  29. 29. A DMP is about ‘keeping’ data • Storing data < > archiving data • Archived data < > findable data • Findable < > accessible • Accessible < > understandable • Understandable < > usable • a USB stick is not safe • Figshare is not a Trustworthy Digital Repository • a persistent identifier is essential but no guarantee for usability • Data in a proprietary format are not sustainable
  30. 30. How much does it cost? Who pays? • What are the costs for making data FAIR in your project? • Resources needed for long term preservation • Check the UK Data Service Costing model • The High Level Expert Group on the European Open Science Cloud recommends that “well budgeted data stewardship plans should be made mandatory and we expect that on average about 5% of research expenditure should be spent on properly managing and stewarding data” • Who pays? How?UKDS model http://www.data-archive.ac.uk/create-manage/planning-for-sharing/costing HLEG report http://ec.europa.eu/research/openscience/pdf/realising_the_european_open_science_cloud_2016.pdf#view=fit&pagemode=none 34
  31. 31. http://www.curationexchange.org/ Costs?
  32. 32. OPENAIRE SUPPORT KIT FOR THE DATA PILOT 36
  33. 33. OPEN ACCESS OpenAIRE implements the EC requirements & SUPPORTS THE OPEN DATA PILOT
  34. 34. Human Network e-infrastructure  NOADS: National Open Access Desks  Monitor and foster the adoption of Open Access policies at the local level  Support researchers at the implementation of the Open Data Pilot  FP7 post grant APCs Pilot  e-infrastructure for monitoring impact of OA mandates and research projects  OpenAIRE guidelines for metadata exchange  Zenodo Repository for the deposition of research products THE POINT OF REFERENCE FOR OPEN ACCESS IN EUROPE 50 Partners: EU countries, data centers, universities, libraries, repositories Open Access infrastructure for research in Europe
  35. 35. Integrated Scientific Information System RDM Seminar @ ISERD, Tel Aviv - Oct 1, 2016 17.3 mi unique publications 760+ validated data providers 370Κ publications linked to projects from 6 funders 28 K datasets linked to publications 3.5K links to software repositories 33K organizations Organization s Projects AuthorsDatasets Publications Data Providers Software Facilities Methods Research Communities OpenAIRE-Connect From January 2017 39
  36. 36. OpenAIRE support materials Briefing papers, factsheets, webinars, workshops, FAQs Information on • Open Research Data Pilot • Creating a data management plan • Selecting a data repository • Personal data Developing guidance to add to DMPonline https://www.openaire.eu/opendatapilot https://www.openaire.eu/support RDM Seminar @ ISERD, Tel Aviv - Oct 1, 2016 40
  37. 37. Information at the OpenAIRE website • Open Research Data Pilot https://www.openaire.eu/opendatapilot • What is the pilot? Which H2020 strands are required to participate? What practical steps should the researcher take? • Create a Data Management Plan https://www.openaire.eu/opendatapilot-dmp • Information about how to create a Data Management Plan. First steps; When to write and revise your Data Management Plan • Select a Data Repository https://www.openaire.eu/opendatapilot-repository • Information about how to select a repository • Frequently Asked Questions about the Open Research Data Pilot https://www.openaire.eu/support/faq 41
  38. 38. Webinars Webinar page https://www.openaire.eu/webinars/ • E.g. about Pilot, Zenodo and data management, but also about OA publications and how to make your repository OpenAIRE compatible. • Various presenters; slides included. 42
  39. 39. OpenAIRE factsheets 43
  40. 40. Briefing PaperRDM OpenAIRE Research Data Management Briefing Paper • https://www.openaire.eu/briefpaper-rdm-infonoads • This extensive briefing paper gives an overview of Research Data Management with practical sections about data management planning, and archiving the research data for reuse. 44
  41. 41. OpenAIRE services • Researchers • Zenodo for all types of publications, data and software • Claiming – linking research results • Amnesia, an anonymization tool for all • Data providers – Interoperability Guidelines, validation,… • Project coordinators – reporting • Funders and institutions – monitoring • Research communities – gathering, monitoring all research 45 DASHBOARDS
  42. 42. Zenodo Multi-disciplinary repository used for the long-tail of research data • An OpenAIRE-CERN joint effort • Multidisciplinary repository accepting – Multiple data types – Publications – Software – link to Github • Assigns a Digital Object Identifier (DOI), up t 50GB per dataset • Links funding, publications, data & software www.zenodo.org 46
  43. 43. What is DMPonline? • A web-based tool to help researchers write Data Management and Sharing Plans • Includes requirements and guidance from funders, universities and other groups • Developed by the Digital Curation Centre
  44. 44. How to write a DMP • Template available from https://dmponline.dcc.ac.uk/ • • And from a few national DMPonline sites, e.g. in Spain and Belgium See https://www.openaire.eu/opendatapilot-dmp - Spain: http://pgd.consorciomadrono.es/ - Belgium: pilot and therefore limited to authorised persons 48 1
  45. 45. https://dmponline.dcc.ac.uk DMPonline (free tool)
  46. 46. DMPonline A web-based tool to help researchers write DMPs Includes a template for Horizon 2020 Guidance from EUDAT and OpenAIRE being added https://dmponline.dcc.ac.uk
  47. 47. New H2020 template 51
  48. 48. Deliver the DMP EC: “Since DMPs are expected to mature during the project, more developed versions of the plan can be included as additional deliverables at later stages. (…) New versions of the DMP should be created whenever important changes to the project occur due to inclusion of new data sets, changes in consortium policies or external factors.” 52
  49. 49. Where to find a repository? More information: https://www.openaire.eu/opendatapilot-repository Zenodo: http://www.zenodo.org/ 54
  50. 50. How to select a repository? 1/2 Main criteria for choosing a data repository: • Certification as a ‘Trustworthy Digital Repository’, with an explicit ambition to keep the data available in the long term. • Network of trustworthy digital repositories for long-term preservation of the data after the research is finished. • Three common certification standards for TDRs: Data Seal of Approval: http://datasealofapproval.org/en/ nestor seal for DIN 31644: http://www.langzeitarchivierung.de/Subsites/nestor/EN/nestor-Siegel/siegel_node.html ISO 16363: http://www.iso16363.org/ 55
  51. 51. Main criteria for choosing a data repository: • Certification as a ‘Trustworthy Digital Repository’, with an explicit ambition to keep the data available in the long term. • Matches your particular data needs and is FAIR compliant: e.g. certain file formats; mixture of Open and Restricted Access. So contact the repository of your choice when writing the first version of your DMP, or earlier. • Provides guidance on metadata and on how to cite the data that has been deposited. • Gives your submitted dataset a persistent and globally unique identifier: for sustainable citations – both for data and publications – and to link back to particular researchers and grants. How to select a repository? 2/2 https://www.openaire.eu/opendatapilot-repository 56
  52. 52. EUDAT DATA SERVICES 57
  53. 53. EUDAT project https://eudat.eu/ 58 EUDAT offers common data services to both research communities and individuals through a network of 35 European organisations.
  54. 54. EUDAT offers data services EUDAT services are designed, built and implemented based on user community requirements. 59 PHYSICAL SCIENCES & ENGINEERING MATERIALS & ANALYTICAL FACILITIES MAPPER BIOMEDICAL & MEDICAL SCIENCES
  55. 55. EUDAT services 60 B2 SERVICE SUITE B2ACCE SS B2HANDLE https://eudat.eu/services
  56. 56. • Store and exchange data with colleagues and team members, including research data not finalized for publishing • share data with fine-grained access controls • synchronize multiple versions of data across different devices e.g. B2DROP – a solution for researchers and scientists to: Features: 20GB storage per user Living objects, so no PIDs Versioning and offline use Desktop synchronisation B2DROP is hosted at the Jülich Supercomputing Centre Daily backups of all files in B2DROP are taken and kept on tape b2drop.eudat.eu
  57. 57. • move large amounts of data between data stores and high-performance compute resources • re-ingest computational results back into EUDAT • deposit large data sets into EUDAT resources for long-term preservation Features: high-speed transfer reliable and light-weight manages permanent PIDs 62 e.g. B2STAGE - Facilitating communities to: eudat.eu/b2stage
  58. 58. EUDAT training 63 https://eudat.eu/training https://eudat.eu/events/webina
  59. 59. www.openaire.eu @openaire_eu facebook.com/groups/openaire linkedin.com/groups/OpenAIRE-3893548 Openaire-it@cineca.it 64 Questions?

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