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Developing a Framework for Research Data Management Protocols

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A presentation given by Marie Timmermann at the 5th LEARN workshop in Barcelona (26 Jan 2017). www.learn-rdm.eu

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Developing a Framework for Research Data Management Protocols

  1. 1. Developing a framework for Research Data Management Protocols LEARN Workshop Barcelona, 26 January 2017 Marie Timmermann EU Legislation and Regulatory Affairs Officer Science Europe
  2. 2. SCIENCE EUROPE I 2 Science Europe (SE) Science-Policy Organisation representing the collective interests of pan-European Research funding bodies as well as European academic research Membership: Research Funding and Research Performing Organisations 43 Member Organisations, 27 countries Working Groups: aim to make recommendations for the implementation of policies laid out in the SE Roadmap and other relevant policy areas; made up of expert level staff from SE member organisations Bottom-up internal advice by Scientific Advisory Committee (SAC): 30 high-level researchers from 16 countries representing a variety of career stages and demonstrating a wide spread of research disciplines (including new and emerging fields)
  3. 3. SCIENCE EUROPE I 3 Why this topic? Topic gains importance in the political context of the Open Science Agenda SE believes in the development of Open Science in a way that recognizes the driving role of the scientific communities in shaping and adopting Open Science Practices, such as data sharing and reuse. Discussions around the topic of Open Science usually focus on topics such as infrastructures and governance; however, there still is no solution for data management, which is needed for successful infrastructures and governance
  4. 4. SCIENCE EUROPE I 4 Why Science Europe? SE can be part of the solution because: SE is well positioned to develop an approach that is accepted by Performers and Funders Open Science-relevant Obvious need Promote SE values of scientific freedom and researcher empowerment in the context of a top-down requirement
  5. 5. SCIENCE EUROPE I 5 WG Research Data Management Protocols WG was created with the mandate to continue SE engagement with Research Data activities with a special focus on Open Science Mission: develop and advocate the concept of ‘disciplinary research data management protocols’ (RDMPs) as pragmatic solution to ensure proper implementation of the Data Management Plans (DMPs). Representation of both Funders AND Performers in WG increases credibility and acceptability of WG results
  6. 6. SCIENCE EUROPE I 6 Objective The core idea is to formulate ‘protocols’ for the collection and management of data within specified disciplinary domains or research communities. Such ‘protocols’, called Domain Data Protocols (DDPs), are defined as generally agreed-upon guidelines, or predefined, written procedural methods. Instead of having to write, review, evaluate and monitor individual DMPs, funders and research organisations would just require project proposers to comply with the DDP available for the relevant scientific domain.
  7. 7. SCIENCE EUROPE I 7 RFO/RPO Research Data Management Policies Data Management Plans (DMPs) are becoming the main tool to enforce policies on research data management directed at researchers Provision of details on data management by researchers Aim: monitor and foster data disclosure and sharing RFOs increasingly require DMPs H2020 introduces Open Data policy, mandatory DMPs RFOs and EC creating or reviewing DMP templates
  8. 8. SCIENCE EUROPE I 8 Outline of the framework The DMP framework, developed and agreed upon by the Members of Science Europe, will set a number of minimal requirements for disciplinary/community data protocols. These requirements will have close resemblance to the requirements of current DMPs and will fit perfectly in data policies that have been or are being formulated.
  9. 9. SCIENCE EUROPE I 9 Advantages of the approach • Prevent situations where scientific domains or scholarly communities find top-down requirements or templates for DMPs not applicable or not useful for their field/research • Better DMP acceptance by researchers and better researcher engagement in research data management • Provision to researchers of a learning vehicle on research data management practices in their field, thus raising the general quality level of RDM; and • Reduced DMP processing costs and burdens for funders, and more focus on and better assessment of deviating RDM solutions
  10. 10. SCIENCE EUROPE I 10 DMPs for researchers & RPOs Modular protocols to be formulated and adopted by research communities will make life easier for researchers: Researchers can refer to the data protocol to be followed instead of inventing out the DMP wheel individually Protocols will raise quality standard of DMPs and will be regarded as useful, in turn DMPs will be a stronger tool Counter situation that researchers see RDM as yet another bureaucratic requirement Can cover all research outputs relevant for Open Science
  11. 11. SCIENCE EUROPE I 11 DMPs for RFOs Framework for Protocols to be defined by RFOs and RPOs will make life easier for funders: Instead of checking thousands of individual DMPs, endorse disciplinary/domain/community protocols DMP will not be a paper tiger, impossible to check whether it is obeyed during execution of research project
  12. 12. SCIENCE EUROPE I 12 The WG’s approach I 5 Task forces worked on different aspects Framework elements: content / volume / data character (digital and non-digital) DMP drafting, execution and follow-up FAIR principles / Costs Responsibility for the data / Acknowledgement (including unique identification) and crediting RDM workflows / Prioritisation of data to be kept: criteria for the eligibility of data for keeping, access management, timing for disclosure Proof of concept partnerships
  13. 13. SCIENCE EUROPE I 13 The WG’s approach II The Task Forces’ work will be merged into a report on the framework The framework is compared against existing models and frameworks The framework has been submitted to various communities for feedback and proof of concept Final report will be ready in March and the concept will be presented at the RDA conference in Barcelona beginning of April
  14. 14. SCIENCE EUROPE I 14 Comparison: LERU Roadmap Broader approach of the Roadmap, but core ideas seem similar: Support re-use of data Foster individual solutions for individual entities (universities, disciplines) according to their needs “development and adoption of an institutional data policy with accompanying guidance” “researcher’s responsibility … that good data management practices are implemented from the outset of a research project, e.g. through the creation of a data management plan that is in line with the requirements of the policies of the research funder.”
  15. 15. SCIENCE EUROPE I 15 Further Information www.scienceeurope.org Rue de la Science 14 1040 Brussels marie.timmermann@scienceeurope.org

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