Citationsort descending Purpose Method Study Type
Akers, K., & Doty J. (2013).  Disciplinary differences in faculty research data management practices and perspectives. International Journal of Digital Curation. 8(2), 5 - 26. Investigated disciplinary differences in research data management needs at Emory University Sent email invitation to participate in online survey to all employees at Emory University with faculty status. 456 out of 5,590 (8%) initiated survey. 330 responded that conduct research that generates some kind of data and filled out one question Measurement, Wider
Alexogiannopoulos, E., McKenney S., & Pickton M. (2010).  Research Data Management Project: a DAF investigation of research data management practices at The University of Northampton. Investigated research data management practices at the University of Northampton, specifically the types of data held by researchers throughout the university, researchers‟ existing data management practices, and the risks associated with these practices. Used the Digital Asset Framework methodology Measurement, Wider
Atkins, D. E., Droegemeier K. K., Feldman S. I., Garcia-molina H., Klein M. L., Messerschmitt D. G., et al. (2003).  Revolutionizing Science and Engineering Through Cyberinfrastructure : Report of the National Science Foundation Blue-Ribbon Advisory Panel on. Evaluated major investments in cyberinfrastructure; recommended new areas of emphasis relevant to cyberinfrastructure; proposed an implementation plan for pursuing these new areas of emphasis Conducted 62 presentations at invitational public testimony sessions and a community-wide survey receiving 700 responses; reviewed prior relevant reports; received written critique from 60 reviewers of the draft report; attended conferences and workshops; conducted numerous unsolicited conversations by email and phone and extensive deliberation among report panel members. Measurement, Targeted
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
Bardyn, T., Resnick T., & Camina S. (2012).  Translational Researchers’ Perceptions of Data Management Practices and Data Curation Needs: Findings from a Focus Group in an Academic Health Sciences Library. Journal of Web Librarianship. 6(4), 274 - 287. Investigated the digital curation needs of translational researchers Conducted focus groups with eight faculty members in departments within the David Geffen School of Medicine, UCLA Measurement, Targeted
Becker, C., Antunes G., Barateiro J., & Vieira R. (2011).  A Capability Model for Digital Preservation: Analysing Concerns, Drivers, Constraints, Capabilities and Maturities. 8th International Conference on Preservation of Digital Objects (IPRES 2011). Metrics, Targeted
Beile, P. (2014).  The UCF Research Data Management Survey: A report of faculty practices and needs. Investigated faculty data management needs and practices at the University of Central Florida Conducted an online survey containing 33 questions. There were 534 valid recipients and 97 who partially or fully completed the survey. Measurement, Wider
Bergin, M. Banach (2013).  Sabbatical Report: Summary of Survey Results on Digital Preservation Practices at 148 Institutions. Investigate how digital preservation programs were implemented in institutions with established programs Conducted an online survey and follow-up interviews with 12 librarians and archivists from various institutions. The survey received 148 responses [from libraries and archives]. 100 people finished the survey. "...I received responses from all types of institutions including national libraries, state libraries, academic libraries, public libraries, church and corporate archives, national parks archives, historical societies, research data centers, and presidential libraries. Roughly a third of the respondents were from large academic institutions with more than 20,000 students, another third were from smaller academic institutions with less than 20,000 students, and the remaining third were from non-academic institutions." 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
Digital Curation Centre, DigitalPreservationEurope (2007).  DRAMBORA. Metrics, Targeted
DSA Group (n.d.).  Data Seal of Approval. A framework for evaluating digital preservation repositories 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
FORCE11 (n.d.).  Guiding Principles for Findable, Accessible, Interoperable and Re-usable Data Publishing. Metrics, Targeted
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
Gibbs, H. (2009).  Southampton Data Survey: Our Experience and Lessons Learned. To pilot the Digital Asset Framework (or Digital Audit Framework) methodology Used a modified version of the Digital Asset Framework; modified mainly due to time considerations; distributed an online questionnaire and follow-up interviews with researchers at the University of Southampton Measurement, 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
Hedstrom, M., Niu J., & Marz K. (2006).  Producing Archive-Ready Datasets: Compliance, Incentives, and Motivation. IASSIST. Investigated effort researchers are willing to put into preparing data for deposit into an archive and incentives to induce researchers to improve the quality of data and metadata deposited Surveyed 170 researchers funded by the National Institute of Justice, which requires deposit of data in an established archive (National Archive of Criminal Justice Data at the Inter-university Consortium for Political and Social Research-NAJCD) Measurement, Metrics, Targeted
Hedstrom, M., & Niu J. (2008).  Incentives for Data Producers to Create “Archive-Ready” Data: Implications for Archives and Records Management. Society of American Archivists Research Forum. Investigated researcher behavior and attitudes about depositing data from sponsored research Conducted a survey of 55 graduates of the National Institute of Justice Measurement, Targeted
International Standards Organization (2012).  Space Data and Information Transfer Systems- Audit and Certification of Trustworthy Digital Repositories (ISO 16363:2012). Provides a framework for evaluating digital repositories Metrics, Targeted
Jerrome, N., & Breeze J. (2009).  Imperial College Data Audit Framework Implementation: Final Report. To pilot the Digital Asset Framework Methodology; evaluate the scale and scope of research data; and make recommendations accordingly Used a modified form of the Digital Asset Framework in multiple departments: used the audit framework in a first phase of investigation, then conducted an online survey and follow up interviews. Measurement, Wider
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
Malamud, C., O'Reilly T., Elin G., Sifry M., Holovaty A., O'Neil D. X., et al. (2007).  The Annotated 8 Principles of Open Government Data. 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
Mayer, R., Rauber A., Neumann M. Alexander, Thomson J., & Antunes G. (2012).  Preserving Scientific Processes from Design to Publications. Theory and Practice of Digital Libraries. 7489, 113 - 124. Provides a model for capturing contextual details (including provenance) for scientific processes (e.g., software and surrounding processes) Metrics, Targeted
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 Data Initiative (n.d.).  Open Data Certificate. Open Data Initiative. Metrics, Targeted
Owens, T., Goethals A., Grotke A., Kirchoff A., Klein K., Mandelbaum J., et al. (2012).  NDSA Levels of Digital Preservation. Provides a model of levels of preservation for digital materials Metrics, Targeted
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
Peng, G., Privette J. L., Kearns E. J., Ritchey N. A., & Ansari S. (2015).  A Unified Framework for Measuring Stewardship Practices Applied to Digital Environmental Datasets. Data Science Journal. 13, Metrics, Targeted
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
Piwowar, H. A. (2011).  Who Shares? Who Doesn't? Factors Associated with Openly Archiving Raw Research Data. PLoS ONE. 6(7), e18657. Investigated patterns in the frequency with which researchers openly archive raw gene expression microarray datasets after research publication Performed a full-text query of 5 databases to identify 11,603 articles published between 2000 and 2009 that describe the creation of gene expression microarray data; performed multivariate regression on 124 bibliometric attributes of the articles, which revealed 15 factors describing authorship, funding, institution, publication, and domain environments. Measurement, Targeted
Ramapriyan, H.., Moses J. F., & Duerr R.. (2012).  Preservation of data for Earth system science - Towards a content standard. 5304 - 5307. Presents the need for a preservation content specification for earth science data, and proposes content items to be captured Metrics, Targeted
Read, K. B., Sheehan J. R., Huerta M. F., Knecht L. S., Mork J. G., Humphreys B. L., et al. (2015).  Sizing the Problem of Improving Discovery and Access to NIH-Funded Data: A Preliminary Study. PLoS ONE. 10(7), e0132735. Investigated the discovery of and access to biomedical datasets to provide a preliminary estimate of the number and type of datasets generated annually by research funded by the U.S. National Institutes of Health (NIH); specifically those that are “invisible” or not deposited in a known repository Analyzed NIH-funded journal articles that were published in 2011, cited in PubMed and deposited in PubMed Central (PMC) to identify articles where data were submitted to a known repository; excluded these and analyzed a random sample of the remaining articles to estimate how many and what types of invisible datasets were used in each article Measurement, Targeted
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
Science Staff (2011).  Challenges and Opportunities. Science. 331(6018), 692 - 693. Investigated issues surrounding the growing amounts of research data that exist Performed a survey of Science peer reviewers, receiving 1,700 responses; asked about frequency of use of datasets from published literature and archival databases, the size of the largest dataset used or generated, where most of the data they generate is archived, whether they have asked colleagues for research data, whether the data were provided, whether there is adequate expertise in their lab or group to analyze their data in the way desired, and whether there is sufficient funding for data curation in their group Measurement, Targeted
The Consultative Committee for Space Data Systems (2012).  Reference Model for an Open Archival Information System (OAIS), Magenta Book. Provides a framework for an open archival information system Metrics, Targeted
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
Waller, M., & Sharpe R. (2006).  Mind the Gap: Assessing Digital Preservation Needs in the UK. A study carried out for the Digital Preservation Coalition (DPC) to reveal the extent of the risk of loss or degradation to digital material held in the UK's public and private sectors Surveyed 900 individuals from a wide range of organisations in different sectors. The selected individuals all had an assumed interest in digital preservation as part of their professional responsibilities, and included a range of roles including records managers, archivists, librarians, but also IT managers and data producers. 104 responses were received, giving a good response rate of over 10%. These included respondents from education, libraries, archives, museums, local and central government bodies, scientific research institutions, and from organisations in the pharmaceutical, financial, manufacturing and engineering, media, energy and chemical, and publishing sectors. Note: Discusses duration for keeping data. Measurement, Wider
Wynholds, L., Fearon, Jr. D. S., Borgman C. L., & Traweek S. (2011).  When Use Cases Are Not Useful: Data Practices, Astronomy, and Digital Libraries. 383 - 386. Sought to understand issues in developing the institutions and practices needed to provide access to research data Conducted interviews of users of the SDSS dataset covering their type of research, participation in sky survey projects, data challenges, conceptions of data, data sources, data analysis tools, walk-throughs, end of project curation, and funding structures for data 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
Finn, R., Wadhwa K., Taylor M. J., Sveinsdottir T., Noorman M., & Sondervan J. (2014).  Legal and ethical barriers and good practice solutions. Identify legal and ethical issues relevant to open access to research data in Europe, identify examples that illuminate these issues, and identify potential solutions currently being used to address these issues Conducted a literature review, five disciplinary case studies, and a validation workshop Measurement, Wider
Sveinsdottir, T., Wessels B., Smallwood R., Linde P., Kala V., Tsoukala V., et al. (2013).  Stakeholder values and relationships within open access and data dissemination and preservation ecosystems. Identify and map the diverse range of stakeholder values in Open Access data and data dissemination and preservation; map stakeholder values on to research ecosystems using case studies from different disciplinary perspectives; conduct a workshop to evaluate and identify good practice in addressing conflicting value chains and stakeholder fragmentation. 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, Metrics, Wider
ICU World Data System (0).  World Data System Certification. A repository certification framework Metrics, Targeted
Thompson, S. Day (2016).  Preserving Transactional Data. Investigated "the requirements for preserving transactional data and the accompanying challenges facing companies and institutions that aim to re-use these data for analysis or research." The report was commissioned to support the long-term preservation issues faced by UK ESRC-funded centres (Big Data Network Support (BDNS), which includes the Administrative Data Research Network (ADRN) and research centres that form the Business and Local Government Data initiative). Examined three use cases: Energy Demand Research Project: Early Smart Meter Trials at the UK Data Service (UKDS); Output Area Classification Data at the Consumer Data Research Centre (CDRC); Higher Education Data at the Administrative Data Research Network (ADRN) Measurement, Targeted
Roche, D. G., Kruuk L. E. B., Lanfear R., & Binning S. A. (2015).  Public Data Archiving in Ecology and Evolution: How Well Are We Doing?. PLOS Biol. 13(11), e1002295. Investigated the quality of 100 datasets deposited in Dryad and "associated with nonmolecular studies in journals that commonly publish ecological and evolutionary research and have a strong PDA policy" Evaluated the completeness and reusability of datasets based on criteria described in the paper Measurement, Metrics, Targeted
Yakel, E., & Faniel I. (2013).  Dissemination Information Packages for Information Reuse. Studied "data reuse in three academic disciplines to identify how contextual information about the data that supports reuse can best be created and preserved. The project focuses on research data produced and used by quantitative social scientists, archaeologists, and zoologists." ( Used a variety of methods including a survey, analysis of online behavior, and user observations Measurement, Targeted
Subscribe to CMP