LP: Lack of consistency and alignment

Citationsort descending Purpose Method Study Type
Beagrie, N., Chruszcz J., & Lavoie B. (2008).  Keeping Research Data Safe: A Cost Model and Guidance for UK Universities. Investigated the medium to long term costs to Higher Education Institutions (HEIs) of the preservation of research data and developed guidance on these issues, including a framework for determining costs Mapped the OAIS reference model against the LIFE cost model and NASA’s Cost Estimation Toolkit; evaluated transferable practice and relative strengths and weaknesses for each; aligned the resulting model with the TRAC model; researched literature on preservation costs and reports and documentation from UK data services and funders; conducted 12 interviews to supplement and validate researched information; conducted three case studies to validate the developed methodology and illustrate the variety of costs and community and service requirements for research data. Measurement, Metrics, Targeted
Horton, L., & DCC (2014).  Overview of UK Institution RDM Policies. Compared policies across UK institutions of higher education according to criteria adapted from DCC 2014 and Erway 2013 With the exception of one, all policies were found online. Measurement, Metrics, Targeted
Jones, S. (2009).  A report on the range of policies required for and related to digital curation. Compared policies of funders in the UK according to policy coverage, curation stipulations, and support provided Policies were obtained through desk research Measurement, Metrics, Targeted
Jones, S. (2012).  Developments in Research Funder Data Policy. International Journal of Digital Curation. 7(1), 114 - 125. Reviewed developments in funders’ data management and sharing policies, and explored the extent to which they have affected practice Policies are believed to have been obtained through desk research Measurement, Targeted
McCain, K. W. (1995).  Mandating Sharing Journal Policies in the Natural Sciences. Science Communication. 16(4), 403 - 431. Created an initial characterization of “research-related information” (RRI) types* and journal policies in the natural sciences and engineering * McCain includes physical research products and craft knowledge in this category, as well as raw data on which results are based. Examined 850 recent journals in the physical and biological sciences and developed a three-part categorization of RRI policies and practices, including regarding sharing and deposit of data, and penalties for non-compliance. Measurement, Metrics, Targeted
Piwowar, H. A., & Chapman W. W. (2008).  A review of journal policies for sharing research data. Conference on Electronic Publishing. Investigated the state of data sharing policies among journals, features of journals associated with strength in data policy, and whether the strength of the policy affected extent of data sharing Identified journals that most often publish studies about gene expression microarray data and classified their policies for data sharing as none, weak, or strong; conducted univariate and linear multivariate regressions to understand the relationship between the strength of data sharing policy and journal impact factor, journal sub discipline, journal publisher (academic societies vs. commercial), and publishing model (open vs. closed access); measured through queries of PubMed how many recently published articles submitted data to the NCBI Gene Expression Omnibus (GEO) database Measurement, Targeted
Sturges, P., Bamkin M., Anders J. H. S., Hubbard B., Hussain A., & Heeley M. (2015).  Research data sharing: developing a stakeholder-driven model for journal policies. Journal of the Association for Information Science and Technology. Investigated the state of journal data sharing policies the views and practices of stakeholders to data sharing in order to outline a model journal research data sharing policy Reviewed the web pages of 371 journals including the most and least cited journals internationally and nationally and extracted categories of policy based on Piwowar and Chapman 2008b definitions of strong and weak policies; conducted 13 interviews with key stakeholders selected on the basis of their expertise in data sharing issues Measurement, 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
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
Dallmeier-Tiessen, S., Guercio M., Helin H., Herterich P., Kaur K., Lavasa A., et al. (2014).  Exemplar Good Governance Structures and Data Policies. Investigated the level of preparedness for interoperable governance and data policies for different groups (memory institutions, universities and research institutions, funders and policy-makers) in Europe "and beyond" Performed desktop research and conducted an online survey Measurement, Targeted
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