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REFERENCES

  • Altman, M., & King, G. (2007, March/April). A proposed standard for the scholarly citation of quantitative data. D-Lib Magazine, 13(3/4).
  • Association of American Universities (AAU). (2012, May 21). Member Institutions and Years of Admission, Association of American Universities, Retrieved from http://www.aau.edu/about/article.aspx?id=5476
  • Berners-Lee, T. (1998). Cool URIs don't change. Retrieved from World Wide Web Consortium website: http://www.w3.org/Provider/Style/
  • Brase, J., & Farquhar, A. (2011, January/February). Access to research data. D-Lib Magazine, 17(1/2).
  • Consultative Committee for Space Data Systems (CCSDS). (2002). Reference model for an open archival information system (OAIS) (CCSDS 650.0-B-1). Washington, DC. Retrieved from http://public.ccsds.org/publications/archive/650x0b1.pdf
  • Crosas, M. (2011, January/February). The Dataverse Network: An open-source application for sharing, discovering and preserving data. D-Lib Magazine, 17(1/2).
  • Duerr, R., Downs, R., Tilmes, C., Barkstrom, B., Lenhardt, W. C., Glassy, J., Bermudez, L., & Slaughter, P. (2011). On the utility of identification schemes for digital earth science data: An assessment and recommendations. Earth Science Informatics, 4, 139160.
  • Eppler, M. (2003). Managing information quality: increasing the value of information in knowledgeintensive products and processes. Berlin, Germany: Springer-Verlag.
  • Go, K., & Carroll, J. (2004a). Scenario-based task analysis. In D. Diaper & N. Stanton (Eds.), The handbook of task analysis for human-computer interaction (pp. 117133). Mahwah, NJ: Lawrence Erlbaum Associates.
  • Go, K., & Carroll, J. (2004b). The blind men and the elephant: Views of scenario-based system design. Interactions, 11(6), 4453. doi:10.1145/1029036.1029037
  • Institute for Museum and Library Services (2011). Specifications for projects that develop digital products. Retrieved from http://www.imls.gov/assets/1/AssetManager/DigitalProducts.pdf
  • International Federation of Library Associations, IFLA Study Group on the Functional Requirements for Bibliographic Records (FRBR). (1998). Functional requirements for bibliographic records: Final report. (As amended and corrected through February 2009.) Retrieved from http://archive.ifla.org/VII/s13/frbr/frbr_2008.pdf
  • Michener, W., Vieglais, D., Vision, T., Kunze, J., Cruse, P., & Janee, G. (2011, January/February). DataONE: Data observation network for earth — Preserving data and enabling innovation in the biological and environmental sciences. D-Lib Magazine, 17(1/2).
  • Moore, R. (2008). Towards a theory of digital preservation. The International Journal of Digital Curation, 1(3).
  • Moore, R., & Smith, M. (2007). Automated validation of trusted digital repository assessment criteria. Journal of Digital Information, 8(2).
  • National Endowment for the Humanities (2011). Guidance for data management plans for NEH Office of Digital Humanities proposals and awards. Retrieved from http://www.neh.gov/grants/guidelines/pdf/DataManagementPlans.pdf
  • National Institutes of Health. (2010). NIH data sharing policy and implementation guidance (NIH Publication No. 03-05-2003). Bethesda, MD: Author. Retrieved from http://grants.nih.gov/grants/policy/data_sharing/data_shar ing_guidance.htm#goals
  • National Science Foundation. (2010). Grant proposal guide (NSF Publication No. gpg11001). Arlington, VA: Author. Retrieved from http://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/gpgprint.pdf
  • Office of Management and Budget. (1999, September 30). Uniform Administrative Requirements for Grants and Agreements With Institutions of Higher Education, Hospitals, and Other Non-Profit Organizations (OMB Circular 110). Washington, DC. Retrieved from http://www.whitehouse.gov/omb/circulars_a110#36
  • Paskin, N. (2010). Digital object identifier system. In M. Bates & M. Maack (Eds.), Encyclopedia of library and information science (pp. 17). Boca Raton, FL: CRC Press.
  • Smit, E. (2011, January/February). Abelard and Heloise: Why data and publications belong together. D-Lib Magazine, 17(1/2).
  • Starr, J., & Gastl, A. (2011, January/February). isCitedBy: A metadata scheme for DataCite. D-Lib Magazine, 17(1/2).
  • Stvilia, B., Gasser, L., Twidale, M., Shreeves, S., & Cole, T. (2004). Metadata quality for Federated Collections. In: S. Chengulur-Smith, L. Raschid, J. Long, C. Seko (Eds.), Proceedings of the International Conference on Information Quality — ICIQ 2004. (pp. 111125). Cambridge, MA: MITIQ.
  • Stvilia, B., Gasser, L., Twidale M., & Smith, L. C. (2007). A framework for information quality assessment. Journal of the American Society for Information Science and Technology, 58, 17201733.
  • Tonkin, E. (2008, July). Persistent identifiers: Considering the options. Ariadne, 56. Retrieved from http://www.ariadne.ac.uk/issue56/tonkin/
  • Vitiello, G. (2004). Identifiers and identification systems: An informational look at policies and roles from a library perspective. D-Lib Magazine, 10(1).
  • Wang, R., & Strong, D. (1996). Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4), 535.
  • Wu, S., Stvilia, B., & Lee, D. J. (in press). Authority control for scientific data: The case of molecular biology. Journal of Library Metadata.
  • Zacharias, M. (2010, May 10). Scientists seeking NSF funding will soon be required to submit data management plans. NSF Press. Retrieved from http://www.nsf.gov/news/news_summ.jsp?cntn_id=1169 28