Developing a framework for
Research Data Management Protocols
LEARN Workshop
Barcelona, 26 January 2017
Marie Timmermann
EU Legislation and Regulatory Affairs
Officer
Science Europe
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)
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
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
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
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.
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
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.
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
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
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
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
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
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.”
SCIENCE EUROPE I 15
Further Information
www.scienceeurope.org
Rue de la Science 14
1040 Brussels
marie.timmermann@scienceeurope.org

Developing a Framework for Research Data Management Protocols

  • 1.
    Developing a frameworkfor Research Data Management Protocols LEARN Workshop Barcelona, 26 January 2017 Marie Timmermann EU Legislation and Regulatory Affairs Officer Science Europe
  • 2.
    SCIENCE EUROPE I2 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.
    SCIENCE EUROPE I3 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.
    SCIENCE EUROPE I4 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.
    SCIENCE EUROPE I5 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.
    SCIENCE EUROPE I6 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.
    SCIENCE EUROPE I7 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.
    SCIENCE EUROPE I8 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.
    SCIENCE EUROPE I9 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.
    SCIENCE EUROPE I10 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.
    SCIENCE EUROPE I11 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.
    SCIENCE EUROPE I12 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.
    SCIENCE EUROPE I13 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.
    SCIENCE EUROPE I14 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.
    SCIENCE EUROPE I15 Further Information www.scienceeurope.org Rue de la Science 14 1040 Brussels marie.timmermann@scienceeurope.org