|
Averkamp, S., Gu X., & Rogers B.
(2014). Data Management at the University of Iowa: A University Libraries Report on Campus Research Data Needs.
|
This data management report was commissioned by the University of Iowa Libraries with the intention of performing a survey of the campus landscape and identifying gaps in data management services |
The first stage of data collection consisted of a survey conducted during summer 2012 to which 784 responses were received. The second phase of data collection consisted of approximately 40 in-depth interviews with individuals from the campus and were completed during summer 2013. The individuals engaged during the data collection phase spanned a diverse set of campus programs but should not be considered comprehensive. Information Technology Services was invited to participate in the interview process and has also contributed to this report. |
Measurement, Wider |
|
Borgman, C. L., Darch P. T., Sands A. E., Wallis J. C., & Traweek S.
(2014). The Ups and Downs of Knowledge Infrastructures in Science: Implications for Data Management.
Proceedings of the Joint Conference on Digital Libraries, 2014 (DL2014). |
Compared data management activities of four large, distributed, multidisciplinary scientific endeavors to gain insight into the domain expertise and expertise in organizing and retrieving complex data objects necessary for successful infrastructures for research data |
Findings are based on interviews (n=113 to date), ethnography, and other analyses of four cases (two big science and two small science), studied since 2002 |
Measurement, Targeted |
|
Cirrinnà, C., Fernie K., & Lunghi M.
(2013). Digital Curator Vocational Education Europe (DigCurV): Final report and Conference Proceedings.
|
DigCurV Project: Sought to understand the need for training in the cultural sector for long-term management of digital collections and establish a curriculum framework for vocational education in digital curation |
Conducted an online survey (receiving more than 450 responses from 44 countries) of stakeholders on training needs in digital preservation and curation; conducted focus groups and workshops in project partner countries; analyzed job advertisements from the UK, Germany, USA, New Zealand, and Australia.
Note: the project included a final conference where a number of papers relevant to skills were delivered. |
Measurement, Metrics, Targeted |
|
Fearon, D., Gunia B., Pralle B., Lake S., & Sallans A.
(2013). ARL Spec Kit 334: Research data management services.
|
To assess early endeavors in research data services and benchmark future growth in ARL member libraries. |
Conducted a survey of ARL member libraries. 73 of 125 responded. |
Measurement, Wider |
|
Fry, J., Lockyer S.., Oppenheim C.., Houghton J.W.., & Rasmussen B..
(2008). Identifying benefits arising from the curation and open sharing of research data produced within UK Higher Education and research institutes: exploring costs and benefits.
|
Investigated the benefits of the curation and open sharing of research data and the development of a methodology and model for estimating the benefits of data curation and sharing in UK higher education |
Performed a literature review to provide illustrative examples of reuse and the views of stakeholders in various disciplines towards data curation and sharing; conducted two case studies to identify and illustrate benefits and costs in these areas |
Measurement, Metrics, Wider |
|
Guindon, A.
(2014). Research Data Management at Concordia University: A Survey of Current Practices..
Feliciter. 60(2), 15 - 17. |
Assess what researchers were doing with the data they generated and whether they were interested in sharing it with the academic community and determine what types of research data management services the library could offer |
Conducted a survey of full-time faculty in four departments (Geography, Planning and Environment, Political Science, Psychology, and Sociology and Anthropology); received 41 responses out of 11. Conducted post-survey interviews. Both the survey and interviews were based on the DCC Data Asset Framework. |
Measurement, Wider |
|
Hank, C., Tibbo H. R., & Lee C. A.
(2010). DigCCurr I Final Report, 2006-09.
|
DigCCurr Project: Sought to develop an openly accessible, graduate-level curricular framework, course modules, and experiential and enrichment components and exemplars necessary to prepare students to work in the 21st century environment of trusted digital and data repositories. About DigCCurr I: http://www.ils.unc.edu/digccurr/aboutI.html |
Reviewed and analyzed relevant literature, syllabi, job advertisements, workshops, standards, tools, services, and research projects; conducted interviews with advisory board members; conducted an paper-based and an online survey, held two symposia on digital curation |
Measurement, Metrics, Targeted |
|
Kroll, S., & Forsman R.
(2010). A Slice of Research Life: Information Support for Research in the United States.
|
Investigated use of tools and services that support of all stages of the research life cycle in institutions of higher education in the U.S. |
Conducted a literature review and interviews with researchers, research assistants, graduate students, grant and other research administration specialists, and university administrators at four prominent US research institutions |
Measurement, Wider |
|
Lee, C. A., & Tibbo H. R.
(2012). Preparing for Digital Curation Governance: Educating Stewards of Public Information.
171 - 174. |
2 projects (ESOPI and ESOPI2) undertaken to redesign and enhanced a dual degree program that was earlier developed by the University of North Carolina’s School of Information and Library Science (SILS) and School of Government (SOG) |
Performed a comprehensive literature review of information and library science and public administration masters-level programs; conducted interviews with project advisory board members and, public sector information experts; conducted a focus group study of current and alumni Fellows from the project. |
Measurement, Metrics, Targeted |
|
Martinez-Uribe, L.
(2009). Using the Data Audit Framework: An Oxford Case Study.
|
Piloted the Digital Asset Framework methodology in work to scope digital repository services for research data management |
Adapted the Digital Asset Framework methodology |
Measurement, Wider |
|
McLure, M., Level A., Cranston C., Oehlerts B., & Culbertson M.
(2014). Data Curation: A Study of Researcher Practices and Needs.
portal: Libraries and the Academy. 14(2), 139 - 164. |
Investigated (1) the nature of data sets that researchers create or maintain; (2) How participants manage their data; (3) Needs for support that the participants identify in relation to sharing, curating, and preserving their data; and (4) The feasibility of adapting the Purdue University Libraries’ Data Curation Profiles Toolkit1 interview protocol for use in focus groups with researchers |
Conducted five focus groups with 31 faculty, research scientists, and research associates |
Measurement, Wider |
|
Open Exeter Project Team
(2012). Summary Findings of the Open Exeter Data Asset Framework Survey.
|
Investigated how researchers at the University of Exeter created data, where they stored their data, whether they backed up their data and what happened to their data when the project was finished |
Adapted from the Data Curation Centre’s Data Asset Framework methodology, an online survey was created and follow up interviews were conducted with respondents. |
Measurement, Wider |
|
Parsons, T., Grimshaw S., & Williamson L.
(2013). Research Data Management Survey.
|
Sought to understand the baseline of RDM practices, gather researcher requirements for RDM, and raise awareness of and gauge interest in a proposed service |
After testing on a smaller population, conducted an online survey of career researchers and post-doctoral researchers at the University of Nottingham using targeted email |
Measurement, Wider |
|
Peters, C., & Dryden A.
(2011). Assessing the Academic Library's Role in Campus-Wide Research Data Management: A First Step at the University of Houston.
Science & Technology Libraries. 30(4), 387 - 403. |
Interviewed PIs of significant grants, to assess individuals in as many science and engineering departments as possible, and to obtain information on data management practices from both individual and group-based projects |
Conducted interviews with PIs of 10 projects (14 contacted), as well as one Co-PI, one post-doctorate and one graduate student associated with one of the projects) |
Measurement, Wider |
|
Scaramozzino, J., Ramírez M., & McGaughey K.
(2012). A Study of Faculty Data Curation Behaviors and Attitudes at a Teaching-Centered University.
College & Research Libraries. 73(4), 349 - 365. |
Investigated science researchers’ data curation awareness, behaviors, and attitudes, as well as what needs they exhibited for services and education regarding maintenance and management of data |
Distributed survey via email to 331 College of Science and Mathematics faculty at California Polytechnic State University, San Luis Obispo (Cal Poly), a master’s-granting, teaching-centered institution. Filtered results to include only science faculty from the Biology, Chemistry, Kinesiology, Mathematics, Physics, and Statistics departments who engaged in data collection in the course of their research (131 tenure-track faculty; 82 responded (62.6%) |
Measurement, Wider |
|
Tenopir, C., Birch B., & Allard S.
(2012). Academic Libraries and Research Data Services: Current Practices and Future Plans.
|
Surveyed a cross section of academic library members of the Association of College and Research Libraries (ACRL) in the United States and Canada to provide a baseline assessment of the current state of and future plans for research data services in academic libraries in these countries |
Conducted an online survey of ACRL library directors |
Measurement, Wider |
|
UNC-CH
(2012). Research Data Stewardship at UNC: Recommendations for Scholarly Practice and Leadership.
|
Sought to identify policy options for digital research data stewardship at UNC; further understanding of the full-breadth of activities, concerns, and opinions surrounding research data stewardship among researchers at UNC-CH |
Conducted semi-structured interviews with 23 faculty researchers representing several disciplines at UNC-CH; conducted an online survey of all faculty members, graduate students, and staff assigned to departments that engage in research |
Measurement, Wider |
|
Bigagli, L., Sveinsdottir T., Wessels B., Smallwood R., Linde P., Tsoukala V., et al.
(2014). Infrastructural and technological challenges and potential solutions.
|
Investigated infrastructural and technological barriers to Open Access and preservation of research data in Europe. This work was conducted within the EU FP7 funded project RECODE, which focuses on developing policy recommendations for Open Access to Research Data in Europe. In particular, this work is coordinated by RECODE Work Package 2 (WP2), Infrastructure and technology. It distinguishes between different categories of stakeholders in terms of how the experience and respond to these challenges |
Conducted desk research, an online survey, interviews, and a validation workshop |
Measurement, Metrics, Wider |
|
Noorman, M., Kalaitzi V., Angelaki M., Tsoukala V., Linde P., Sveinsdottir T., et al.
(2014). Institutional barriers and good practice solutions.
|
Investigated challenges faced by institutions, such as archives, libraries, universities, data centres and funding bodies, in making open access to research data possible. This work was conducted within the EU FP7 funded project RECODE, which focuses on developing policy recommendations for Open Access to Research Data in Europe. |
Conducted desk research, case study interviews, and a validation workshop |
Measurement, Wider |
