Library support for life cycle
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This document summarizes a workshop on data management. It outlines the typical research lifecycle including proposal planning, project start up, data collection, analysis, sharing, and end of project. It discusses support for researchers within areas like data mining, curation, and preservation. It also discusses support from outside through infrastructure, policy, and best practices. Finally, it identifies 9 key skills gaps for librarians in advising researchers on data management tasks.
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Library support for life cycle
- 1. Sherry Lake July 31, 2012 University of Florida Data Management Workshop
- 2. Research Life Cycle Data Re- Data Deposit Discovery Use Archive Proposal Project Data Data Data End of Planning Start Up Collection Analysis Sharing Project Writing Re- Purpose Data Life Cycle
- 4. Research Life Cycle Support Within Data Mining Data Curation & Data Preservation Search Data Re- Data Deposit Discovery Use Archive Proposal Project Data Data Data End of Planning Start Up Collection Analysis Sharing Project Writing DMP DM Planning Data Publication Consulting Storage Rights & Grant Writing Re- Restriction & Planning Purpose s Data Processing Data Life Cycle HPC/Visualizatio n Metadata & Tool Documentatio Development n
- 5. Research Life Cycle Outside Support Data Mining Data Curation & Data Preservation Search Data Re- Data Deposit Policy Discovery Use Archive Proposal Planning Project Infrastructure Data Data Data End of Start Up Collection Analysis Sharing Project Writing DMP DM Planning Data Publication Consulting Grant Writing Researcher Re- Code of Practice Storage Rights & Restriction & Planning Purpose s Data Processing Data Life Cycle HPC/Visualizatio n Metadata & Tool Documentatio Development n
- 7.
- 9. 9 skills gaps 1. Ability to advise on preserving research outputs 2. Knowledge to advise on data management and curation 3. Knowledge on complying with funder mandates, including open access 4. Knowledge to advise on potential data manipulation tools 5. Knowledge to advise on data mining (Auckland, 2012)
- 10. 9 skills gaps 6. Knowledge to advocate, and advise on, the use of metadata 7. Ability to advise on the preservation of project records 8. Knowledge of sources of research funding 9. Skills to develop metadata schema (Auckland, 2012)
- 11. Research Life Cycle Support Within Data Mining Data Curation & Data Preservation Search Data Re- Data Deposit Discovery Use Archive Proposal Project Data Data Data End of Planning Start Up Collection Analysis Sharing Project Writing DMP DM Planning Data Publication Consulting Storage Rights & Grant Writing Re- Restriction & Planning Purpose s Data Processing Data Life Cycle HPC/Visualizatio n Metadata & Tool Documentatio Development n
- 12. References Auckland, M (2012), Re-skilling for Research, Research Libraries UK (RLUK) report http://www.rluk.ac.uk/content/re-skilling-research Lyon, L. (2012). The Informatics Transform: Re-Engineering Libraries for the Data Decade. International Journal of Digital Curation, 7(1), 126–138. doi:10.2218/ijdc.v7i1.220 Pryor, G., & Donnelly, M. (2009). Skilling Up to Do Data: Whose Role, Whose Responsibility, Whose Career? International Journal of Digital Curation, 4(2), 158– 170. doi:10.2218/ijdc.v4i2.105
Editor's Notes
- Research Data Services are defined as services that address the full data lifecycle, including the data management plan, digital curation (selection, preservation, maintenance, and archiving) and metadata creation and conversion.
- Here are 4 roles that are involved directly in the day-to-day DM. The bubbles are the “skills” needed.If I am proposing that the Librarian be involved in the whole data lifecycle, then there are sResearchers: what skills should a librarian have? What services does UF already have? Should library fill the gaps?Pryor, G., & Donnelly, M. (2009). Skilling Up to Do Data: Whose Role, Whose Responsibility, Whose Career? International Journal of Digital Curation, 4(2), 158–170. doi:10.2218/ijdc.v4i2.105
- Let’s look more closely at the skills needed along our Research Life Cycle.Then there are over-arching skills: marketing, raising awareness and user trainingOther more detailed services such as data format conversion & transformationData Search – like Lit serarch
- Library and researcher can’t do this along.What is needed across the whole life cycle… across all of research are policies (funders, institution, discipline) and codes of practice (Open Data, Open Access)In addition to infrastructure and training.
- There are other partners at every instutitioin who have roles in data management – policy, IT, VPR, Office of Grant awards.Libraries shouldn’t have to do it all. Look around your institution to see who else provides the “services” that are needed to support the research lifecycle.Lyon, L. (2012). The Informatics Transform: Re-Engineering Libraries for the Data Decade. International Journal of Digital Curation, 7(1), 126–138. doi:10.2218/ijdc.v7i1.220Pg 131Part 1 of Table 1. Research data management, the library and institutional stakeholders. Partnership approach – Library & institutional stakeholders 7 roles, responsibilities, requirements, relationshipsDirector (Leadership)Data Librarian (Advocacy)Repo managers (discovery)IT/ computing (Storage)
- Lyon, L. (2012). The Informatics Transform: Re-Engineering Libraries for the Data Decade. International Journal of Digital Curation, 7(1), 126–138. doi:10.2218/ijdc.v7i1.220Pg 132Part 2 of Table 1. Research data management, the library and institutional stakeholders. Research and development (CRIS)Faculty training centers (training)PVC Research (policy)
- According to Auckland, even if we narrow down the skills to those that are related to the “traditional” roles of librarians, there are still gaps that need to be addressed to truly support data management.2012 Re-skilling for Research report identified a skills gapRe-skilling for Research In January 2012 in the UK RLUK (Research Libraries UK) published a major report by Mary Auckland on the changing needs of researchers and the effect on the subject/liaison role within libraries. Research practices and activities are changing and evolving, research support provided by libraries must evolve with them. In terms of what libraries are currently offering the, Re-skilling for Research report found a Skills gap 9 areas:
- The 9 areas identified as having potentially the most significant skills gap are: The Ability to advise on preserving research outputsKnowledge to advise on data management and curation, including ingest, discovery, access, dissemination, preservation, and portability Knowledge to support researchers in complying with the various mandates of funders, including open access requirementsKnowledge to advise on potential data manipulation tools used in the disciplineKnowledge to advise on data miningKnowledge to advocate, and advise on, the use of metadata Ability to advise on the preservation of project records e.g. Knowledge of sources of research funding to assist researchers to identify potential funders Skills to develop metadata schema, and advise on discipline/subject standards and practices, for individual research projects Auckland, M (2012), Re-skilling for Research, Research Libraries UK (RLUK) report http://www.rluk.ac.uk/content/re-skilling-research
- Auckland, M (2012), Re-skilling for Research, Research Libraries UK (RLUK) report http://www.rluk.ac.uk/content/re-skilling-research
- Let’s look more closely at the skills needed along our Research Life Cycle.Then there are over-arching skills: marketing, raising awareness and user trainingOther more detailed services such as data format conversion & transformationData Search – like Lit serarch