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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.
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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 |
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Berman, F., Lavoie B., Ayris P., G. Choudhury S., Cohen E., Courant P., et al.
(2010). Sustainable Economics for a Digital Planet: Ensuring Long-Term Access to Digital Information.
110. |
Developed an economic framework for analyzing digital preservation as an economic problem. Employed the framework to analyze the "economic conditions and implications intrinsic to four key digital preservation contexts: scholarly discourse, research data, collectively produced Web content, and commercially owned cultural content." |
Drew on findings reported in the interim Blue Ribbon Task Force report: Sustaining the Digital Investment: Issues and Challenges of Economically Sustainable Digital Preservation |
Metrics, Targeted |
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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 |
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Downs, R. R., & Chen R. S.
(2013). Towards Sustainable Stewardship of Digital Collections of Scientific Data.
GSDI World Conference (GSDI 13) Proceedings. |
Described an experimental economic strategy being undertaken by Columbia University |
In the process of describing the model, reviewed a variety of business models and literature that discussed their benefits and drawbacks. |
Measurement, Metrics, Targeted |
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Ember, C., & Hanisch R.
(2013). Sustaining Domain Repositories for Digital Data.
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Explored the funding challenges faced by domain repositories in the United States |
Reviewed the different functions of domain repositories, the reuse of data stored in domain repositories, and the issues domain repositories face; reviewed different funding models for domain repositories and scored them based on several criteria |
Measurement, Metrics, Targeted |
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Fearon, D., Gunia B., Pralle B., Lake S., & Sallans A.
(2013). ARL Spec Kit 334: Research data management services.
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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 |
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Grindley, N., Ruusalepp R., L'Hours H., Kejser U. Bøgvad, Thirifays A., & Stokes P.
(2015). 4C Project: Assessment of Community Validation of the Economic Sustainability Reference Model.
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Sought to highlight key concepts, relationships and decision points for planning how to sustain digital assets into the future, and complement and enhance guidance about sustainability planning that was available to the community and provide those with responsibility for digital assets and curation services (practitioners) a systematic way of considering and discussing sustainability issues with senior managers and funders/investors (strategists) |
Conducted a variety of engagement meetings and received feedback at numerous events and venues on the Rusbridge and Lavoie ESRM model; received responses to and feedback also on an ESRM self-assessment questionnaire; |
Metrics, Targeted |
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International Standards Organization
(2012). Space Data and Information Transfer Systems- Audit and Certification of Trustworthy Digital Repositories (ISO 16363:2012).
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Provides a framework for evaluating digital repositories |
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Metrics, Targeted |
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Rusbridge, C., & Lavoie B.
(2011). Draft economic sustainability reference model.
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Economic Sustainability Reference Model (ESRM): Defined the notion of a sustainable strategy, highlighted key components that should be taken into account when designing a strategy; enumerated risks that sustainability strategies should guard against; presented an economic lifecycle model to assist in planning throughout the curation lifecycle |
Translated the concepts, findings, and recommendations of Berman et al. 2010 into a practical resource for sustainability planning; assessed several digital curation lifecycle models to inform the creation of an economic lifecycle model |
Metrics, Targeted |
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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 |
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Tenopir, C., Birch B., & Allard S.
(2012). Academic Libraries and Research Data Services: Current Practices and Future Plans.
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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 |
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Wallis, J. C., Rolando E., & Borgman C. L.
(2013). If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology.
PLoS ONE. 8(7), e67332. |
Investigated data sharing practices among scientists and technology researchers in CENS, a National Science Foundation Science and Technology Center. This was done as part of efforts to identify infrastructure needs for research data produced in long tail science. |
Conducted two rounds of interviews with researchers, students, and staff in CENS in the fourth and eighth years of the study, and ten years of ethnographic observation |
Measurement, Targeted |
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Wang, D., Strodl S., Kejser U. Bøgvad, Ferreira M., Borbinha J., Proença D., et al.
(2015). 4C Project: From Costs to Business Models.
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Examined existing business models for digital curation from a business model canvas approach; outlined key aspects in terms of activity, customers, finance and unique selling points |
Evaluation was done primarily through review and analysis of literature and desk-based research on existing business models and initiatives |
Measurement, Metrics, Targeted |
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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 |
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Noorman, M., Kalaitzi V., Angelaki M., Tsoukala V., Linde P., Sveinsdottir T., et al.
(2014). Institutional barriers and good practice solutions.
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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 |
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ICU World Data System
(0). World Data System Certification.
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A repository certification framework |
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Metrics, Targeted |
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Kitchin, R., Collins S., & Frost D.
(2015). Funding Models for Open Access Repositories.
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Investigated how open access repositories are funded |
Examined 14 different funding models, grouped into six classes (institutional, philanthropy, research, audience, service, volunteer), that might be used to provide revenue streams to support open access repositories |
Metrics, Targeted |
