Libraries and Research Data Management – What Works? Summary of a Pre-Survey.

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This presentation by Rob Grim was given at the Scholarly Communication and Research Infrastructures Steering Committee Workshop. The workshop title was Libraries and Research Data Management – What Works?

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  • #1
    A dedicated website was launched, providing background information on funders requirements, a DMP-template is currently being prepared, further guidance & advance provided individually upon request
    advisor
    Just processing this topic (within the frame of project "e-Infrastructures Austria"
    Libraries of the University are aware of the new roles, but not very active in information gathering
    Like to know more
    Part of these services are in place, but organized as separate activities. Next step is to develop a coherent service path, in connectin with other support services at the university (legal, finance etc.)
    The University Library of the Radboud University is appointed by the Executive Board to develop a service for research data management support as mentioned in the question. This is done as a pilot project in 2014-2015, with the aim to establish a structural service (Expertise Centre Research Data) as soon as possible.
    We only support our patrons with systematic reviews and bibliographic management.
    We support research groups with DMP development. We have information on IPR on our website. Assisting with DMP development is not standard practice within the library. We are "learning by doing".
    We will start offering advice and assist faculty. Today we answer questions when we get them. Resposibility for supporting Research Data Management within the university i scattered.
    #2
    Helsinki University Library's experts take part on developing metadata standards on national level. On university level metadata services for research data concern mainly some projects and basic research data training to researchers.
    In our institutional research data policy we encourage researchers to document their data and to use non-proprietary formats where possible, however, no services are provided.
    Just processing this topic (within the frame of project "e-Infrastructures Austria"
    No acitivity regarding standards development and metadata services
    This is an explicit aspect of the RDM-project at the Radboud University. This is not only the task of the University Library, but it is addressed broader within the University.
    We don't do anything yet
    We have the skills to do this, though it is currently not a priority due to lack of time and the fact that this is not an assignment the library has. We are working towards this, though, and are engaged in diskussions on a national level.
    We just adopt current international standards but do not develop anything ourselves
    We make use of the DDI specification. All templates for research data description in Dataverse Network are based on DDI (Data Documentation Initiative).
    Total
    #6
    IT department and university library have been traditionally providing such services for information resources for a long time. These services now have to be extended to specific research data needs.
    Like to know more
    No institutional activities for storage, discovery and permanent access, there are some activities on a national level
    No work is done yet
    See question 4
    The maturity level depends on: the research group, the workflow and the 'data types' involved. For small and long tail science research data we provide full lifecycle support.
    These services are either being established or are yet realized nationally. As University Library, we offer support, give advice, train and refer to existing services.
    Works already fine with Phaidra (institutional repository of Vienna University
  • #1
    A dedicated website was launched, providing background information on funders requirements, a DMP-template is currently being prepared, further guidance & advance provided individually upon request
    advisor
    Just processing this topic (within the frame of project "e-Infrastructures Austria"
    Libraries of the University are aware of the new roles, but not very active in information gathering
    Like to know more
    Part of these services are in place, but organized as separate activities. Next step is to develop a coherent service path, in connectin with other support services at the university (legal, finance etc.)
    The University Library of the Radboud University is appointed by the Executive Board to develop a service for research data management support as mentioned in the question. This is done as a pilot project in 2014-2015, with the aim to establish a structural service (Expertise Centre Research Data) as soon as possible.
    We only support our patrons with systematic reviews and bibliographic management.
    We support research groups with DMP development. We have information on IPR on our website. Assisting with DMP development is not standard practice within the library. We are "learning by doing".
    We will start offering advice and assist faculty. Today we answer questions when we get them. Resposibility for supporting Research Data Management within the university i scattered.
    #2
    Helsinki University Library's experts take part on developing metadata standards on national level. On university level metadata services for research data concern mainly some projects and basic research data training to researchers.
    In our institutional research data policy we encourage researchers to document their data and to use non-proprietary formats where possible, however, no services are provided.
    Just processing this topic (within the frame of project "e-Infrastructures Austria"
    No acitivity regarding standards development and metadata services
    This is an explicit aspect of the RDM-project at the Radboud University. This is not only the task of the University Library, but it is addressed broader within the University.
    We don't do anything yet
    We have the skills to do this, though it is currently not a priority due to lack of time and the fact that this is not an assignment the library has. We are working towards this, though, and are engaged in diskussions on a national level.
    We just adopt current international standards but do not develop anything ourselves
    We make use of the DDI specification. All templates for research data description in Dataverse Network are based on DDI (Data Documentation Initiative).
    Total
    #6
    IT department and university library have been traditionally providing such services for information resources for a long time. These services now have to be extended to specific research data needs.
    Like to know more
    No institutional activities for storage, discovery and permanent access, there are some activities on a national level
    No work is done yet
    See question 4
    The maturity level depends on: the research group, the workflow and the 'data types' involved. For small and long tail science research data we provide full lifecycle support.
    These services are either being established or are yet realized nationally. As University Library, we offer support, give advice, train and refer to existing services.
    Works already fine with Phaidra (institutional repository of Vienna University
  • Note this is all supplementary to the extensive descriptions that are provided in the case studies
    #3
    For the time being, most related work is carried out by the repository central technical office
    Library staff skills training program already completed. There are no full time data librarians, but a group of librarians who take part in research data support services.
    This is an explicit aspect of the RDM-project at the Radboud University. The University Library is appointed by the Executive Board to develop data librarian services. This is done as a pilot project in 2014-2015, with the aim to establish a structural service as soon as possible.
    Together with one of our subject librarians we recently have started working on a RDM training for researchers as part of information literacy skills.
    We do this, but not apart from developing professional skills in general.
    We were the 1st university library in the Netherlands with a position for a Data Librarian. An additional information collection specialist is now being reskilled to become a Data Librarian.
    We will probably do something like this in the coming years.
    #6
    IT department and university library have been traditionally providing such services for information resources for a long time. These services now have to be extended to specific research data needs.
    No institutional activities for storage, discovery and permanent access, there are some activities on a national level
    The maturity level depends on: the research group, the workflow and the 'data types' involved. For small and long tail science research data we provide full lifecycle support.
    These services are either being established or are yet realized nationally. As University Library, we offer support, give advice, train and refer to existing services.
    Works already fine with Phaidra (institutional repository of Vienna University
  • More advanced training would be useful
    preservation, the role of effective embedded librarians
    The 'hands on' data experience and data science skills
    Topic that would interest me is how to support researchers while managing their data during their research; libraries talk mostly about metadata, standards, awareness, storage and catalogues, but in my opinion the key step in the process is missing out now
    Very practical approach to specific issues as 'how to...'
  • More advanced training would be useful
    preservation, the role of effective embedded librarians
    The 'hands on' data experience and data science skills
    Topic that would interest me is how to support researchers while managing their data during their research; libraries talk mostly about metadata, standards, awareness, storage and catalogues, but in my opinion the key step in the process is missing out now
    Very practical approach to specific issues as 'how to...'
  • Nearly everyone selects a minimum of 4 RDM topics
    Engagement, develop skills
    >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
    Staff & Skilling, specific data management practice
    Offer or mediate secure storage for dynamic and static research data in co-operation with institutional IT units and/or seek exploitation of appropriate cloud services
    Create Data Librarian posts and develop professional staff skills for data librarianship.
    Create Data Librarian posts and develop professional staff skills for data librarianship.,
    Get involved in subject specific data management practice., Offer or mediate secure storage for dynamic and static research data in co-operation with institutional IT units and/or seek exploitation of appropriate cloud services.
    Engage in the development of metadata and data standards and provide metadata services for research data., Create Data Librarian posts and develop professional staff skills for data librarianship., Liaise and partner with researchers, research groups, data archives and data centers to foster an interoperable infrastructure for data access, discovery and data sharing., Promote research data citation by applying persistent identifiers to research data., Get involved in subject specific data management practice.
    Engage in the development of metadata and data standards and provide metadata services for research data., Liaise and partner with researchers, research groups, data archives and data centers to foster an interoperable infrastructure for data access, discovery and data sharing., Provide an institutional Data Catalogue or Data Repository, depending on available infrastructure., Get involved in subject specific data management practice., Offer or mediate secure storage for dynamic and static research data in co-operation with institutional IT units and/or seek exploitation of appropriate cloud services.
    Liaise and partner with researchers, research groups, data archives and data centers to foster an interoperable infrastructure for data access, discovery and data sharing., Get involved in subject specific data management practice.
    Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum., Actively participate in institutional research data policy development, including resource plans. Encourage and adopt open data policies where appropriate in the research data life cycle., Liaise and partner with researchers, research groups, data archives and data centers to foster an interoperable infrastructure for data access, discovery and data sharing.
    Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum., Create Data Librarian posts and develop professional staff skills for data librarianship., Actively participate in institutional research data policy development, including resource plans. Encourage and adopt open data policies where appropriate in the research data life cycle.
    Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum., Create Data Librarian posts and develop professional staff skills for data librarianship., Actively participate in institutional research data policy development, including resource plans. Encourage and adopt open data policies where appropriate in the research data life cycle., Liaise and partner with researchers, research groups, data archives and data centers to foster an interoperable infrastructure for data access, discovery and data sharing., Support the lifecycle for research data by providing services for storage, discovery and permanent access., Promote research data citation by applying persistent identifiers to research data., Offer or mediate secure storage for dynamic and static research data in co-operation with institutional IT units and/or seek exploitation of appropriate cloud services.
    Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum., Create Data Librarian posts and develop professional staff skills for data librarianship., Actively participate in institutional research data policy development, including resource plans. Encourage and adopt open data policies where appropriate in the research data life cycle., Support the lifecycle for research data by providing services for storage, discovery and permanent access.
    Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum., Create Data Librarian posts and develop professional staff skills for data librarianship., Get involved in subject specific data management practice.
    Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum., Create Data Librarian posts and develop professional staff skills for data librarianship., Promote research data citation by applying persistent identifiers to research data., Get involved in subject specific data management practice.
    Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum., Create Data Librarian posts and develop professional staff skills for data librarianship., Provide an institutional Data Catalogue or Data Repository, depending on available infrastructure., Get involved in subject specific data management practice., Offer or mediate secure storage for dynamic and static research data in co-operation with institutional IT units and/or seek exploitation of appropriate cloud services.
    Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum., Engage in the development of metadata and data standards and provide metadata services for research data., Actively participate in institutional research data policy development, including resource plans. Encourage and adopt open data policies where appropriate in the research data life cycle.
    Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum., Engage in the development of metadata and data standards and provide metadata services for research data., Create Data Librarian posts and develop professional staff skills for data librarianship., Actively participate in institutional research data policy development, including resource plans. Encourage and adopt open data policies where appropriate in the research data life cycle., Liaise and partner with researchers, research groups, data archives and data centers to foster an interoperable infrastructure for data access, discovery and data sharing., Support the lifecycle for research data by providing services for storage, discovery and permanent access., Promote research data citation by applying persistent identifiers to research data., Get involved in subject specific data management practice.
    Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum., Engage in the development of metadata and data standards and provide metadata services for research data., Create Data Librarian posts and develop professional staff skills for data librarianship., Actively participate in institutional research data policy development, including resource plans. Encourage and adopt open data policies where appropriate in the research data life cycle., Liaise and partner with researchers, research groups, data archives and data centers to foster an interoperable infrastructure for data access, discovery and data sharing., Support the lifecycle for research data by providing services for storage, discovery and permanent access., Promote research data citation by applying persistent identifiers to research data., Provide an institutional Data Catalogue or Data Repository, depending on available infrastructure., Get involved in subject specific data management practice., Offer or mediate secure storage for dynamic and static research data in co-operation with institutional IT units and/or seek exploitation of appropriate cloud services.
    Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum., Engage in the development of metadata and data standards and provide metadata services for research data., Create Data Librarian posts and develop professional staff skills for data librarianship., Provide an institutional Data Catalogue or Data Repository, depending on available infrastructure.
    Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum., Liaise and partner with researchers, research groups, data archives and data centers to foster an interoperable infrastructure for data access, discovery and data sharing., Get involved in subject specific data management practice.
  • Libraries and Research Data Management – What Works? Summary of a Pre-Survey.

    1. 1. Libraries and Research Data Management – What Works? Summary of a pre-survey Steering Committee Scholarly Communication and Research Infrastructures LIBER Annual Conference, Riga, 2 July 2014 Rob Grim, Tilburg University, Co-Chair SII
    2. 2. Pre-survey: Liber14 RDM Workshop We would like to learn more about how the library engages in research data management at your institution •Starting point: 10 RDM recommendations for libraries •Target group: workshop participants and authors of case studies (N=21) In the questions below, please specify your institution's level of engagement: 0 - No activity 1 - Some awareness 2 - Information gathering, explorative 3 - Specification and development 4 - Testing as a service, partly sustained 5 - Established service, mostly or fully sustained 2
    3. 3. 10 Recommendations for libraries to get started with research data management Regrouping the recommendations – Areas of engagement Support services #1 Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum. #6 Support the lifecycle for research data by providing services for storage, discovery and permanent access. #9 Get involved in subject specific data management practices Infrastructure & standards #2 Engage in the development of metadata and data standards and provide metadata services for research data. #5 Liaise and partner with researchers, research groups, data archives and data centers to foster an interoperable infrastructure for data access, discovery and data sharing. #7 Promote research data citation by applying persistent identifiers to research data. #8 Provide an institutional Data Catalogue or Data Repository, depending on available infrastructure. #10 Offer or mediate secure storage for dynamic and static research data in co-operation with institutional IT units and/or seek exploitation of appropriate cloud services. Policy & disciplinary practices #4 Actively participate in institutional research data policy development, including resource plans. Encourage and adopt open data policies where appropriate in the research data life cycle. #7 ... (with some disciplinary views on data citation) Skills & staffing #3 Create Data Librarian posts and develop professional staff skills for data librarianship. #1 … and the integration of data management into the curriculum. 3
    4. 4. 4
    5. 5. Engagement of libraries: overview 5 N Mean Std. Deviation #4 Actively participate in institutional research data policy development, including resource plans. Encourage and adopt open data policies where appropriate in the research data life cycle. 21 2.714 1.4541 #10 Offer or mediate secure storage for dynamic and static research data in co- operation with institutional IT units and/or seek exploitation of appropriate cloud services. 21 2.667 1.1972 #6 Support the lifecycle for research data by providing services for storage, discovery and permanent access. 21 2.667 1.3904 #2 Engage in the development of metadata and data standards and provide metadata services for research data. 21 2.524 1.5040 #8 Provide an institutional Data Catalogue or Data Repository, depending on available infrastructure. 21 2.381 1.5322 #5 Liaise and partner with researchers, research groups, data archives and data centers to foster an interoperable infrastructure for data access, discovery and data sharing. 21 2.381 1.5645 #1 Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum. 21 2.333 1.1106 #3 Create Data Librarian posts and develop professional staff skills for data librarianship. 21 2.143 1.4928 #9 Get involved in subject specific data management practice. 21 1.952 1.2836 #7 Promote research data citation by applying persistent identifiers to research data. 21 1.905 1.2611 Valid N (listwise) 21 Descriptive Statistics Recommendations sorted by engagement level
    6. 6. Areas of Engagement Most involved: •Institutional research data policy development, including resource plans. Encourage and adopt open data policies where appropriate in the research data life cycle (#4 ). •Offer or mediate secure storage for dynamic and static research data in co-operation with institutional IT units and/or seek exploitation of appropriate cloud services (#10). •Supporting the lifecycle for research data by providing services for storage, discovery and permanent access (#6 ). •Engage in the development of metadata and data standards and provide metadata services for research data (#2). Least involved: •Get involved in subject specific data management practices (#9). •Promote research data citation by applying persistent identifiers to research data (#7). 6
    7. 7. Areas of Engagement Some involvement •Provide an institutional Data Catalogue or Data Repository, depending on available infrastructure #8. •Liaise and partner with researchers, research groups, data archives and data centers to foster an interoperable infrastructure for data access, discovery and data sharing #5. •Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum #1. •Create Data Librarian posts and develop professional staff skills for data librarianship #3. 7
    8. 8. Comments to the level of engagement Support services #1 RDM support •A dedicated website, providing background information on funders requirements, a DMP-template is currently being prepared, further guidance & advance provided individually upon request. Advisor. Project based "e-Infrastructures Austria". •We will start offering advice and assist faculty. Today we answer questions when we get them. Responsibility for supporting Research Data Management within the university is scattered. •We support research groups with DMP development. We have information on IPR on our website. Assisting with DMP development is not standard practice within the library. We are "learning by doing". #6 Providing lifecycle support •IT department and university library have been traditionally providing such services for information resources for a long time. These services now have to be extended to specific research data needs. •The maturity level depends on: the research group, the workflow and the 'data types' involved. For small and long tail science research data we provide full lifecycle support. 8
    9. 9. Comments to the level of engagement Infrastructure & Standards •This is an explicit aspect of the RDM-project at the Radboud University. This is not only the task of the University Library, but it is addressed broader within the University. •We have the skills to do this, though it is currently not a priority due to lack of time and the fact that this is not an assignment the library has. We are working towards this, though, and are engaged in discussions on a national level. •We just adopt current international standards but do not develop anything ourselves •Helsinki University Library's experts take part on developing metadata standards on national level. On university level metadata services for research data concern mainly some projects and basic research data training to researchers. 9
    10. 10. Comments to the level of engagement Skills & Staffing •For the time being, most related work is carried out by the repository central technical office. •Library staff skills training program already completed. There are no full time data librarians, but a group of librarians who take part in research data support services. •This is an explicit aspect of the RDM-project at the Radboud University. The University Library is appointed by the Executive Board to develop data librarian services. This is done as a pilot project in 2014-2015, with the aim to establish a structural service as soon as possible. •Together with one of our subject librarians we recently have started working on a RDM training for researchers as part of information literacy skills. •We do this, but not apart from developing professional skills in general. •We were the 1st university library in the Netherlands with a position for a Data Librarian. An additional information collection specialist is now being reskilled to become a Data Librarian. •We will probably do something like this in the coming years. 10
    11. 11. Training Have you participated in research data management trainings over the last two years? YES: 40%  Copyright, standards, Open Access policies Data management basics Digital Curation, RDM in arts & humanities, various workshops and conferences OpenAIRE workshops RDM for librarians Supporting researchers to write a data management plan and store research data 11
    12. 12. Training What is missing? More advanced training would be useful Preservation, the role of effective embedded librarians The 'hands on' data experience and data science skills How to support researchers while managing their data during their research; libraries talk mostly about metadata, standards, awareness, storage and catalogues, but in my opinion the key step in the process is missing out now Very practical approach to specific issues as 'how to...' 12
    13. 13. Conclusions Support services •Writing DMP’s. Learning by doing! How to put theory into practice. •RDM support services are resource intensive (development & deployment phase) Skills & staffing •Current practice: Re-skilling of subject librarians •Development of professional staff skills for data librarianship needed Infrastructure & standards •Liaise and partner with researchers, research groups, data archives and data centers to foster an interoperable infrastructure for data access, discovery and data sharing. Policy & disciplinary practices •Heterogeneous picture. Many differences across institutions 13

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