Modernizing Library Metadata for Historical Weather and Climate Data Collections

References

• ACRL Research Planning and Review Committee. (2012). 2012 top ten trends in academic libraries. College & Research Libraries News ( June 2012), 73(6) 311–320. http://crln.acrl.org/content/73/6/311.full.pdf+html.
   Google Scholar
• Allan, R., Brohan, P., Compo, G. P., Stone, R., Luterbacher, J., & Brönnimann, S. (2011). The International Atmospheric Circulation Reconstructions over the Earth (ACRE) Initiative. Bulletin of the American Meteorological Society, 92(11), 1421–1425. doi: 10.1175/2011BAMS3218.1
   Web of Science ®Google Scholar
• Cox, A. M., Kennan, M. A., Lyon, L., & Pinfield, S. (2017). Developments in research data management in academic libraries: Towards an understanding of research data service maturity. Journal of the Association for Information Science and Technology, 68(9), 2182–2200. doi: 10.1002/asi.23781
   Web of Science ®Google Scholar
• Danko, D. M. (2011). Geospatial metadata. In W. Kresse & D.M. Danko (Eds.), Springer Handbook of Geographic Information (pp. 191–244). Berlin, Heidelberg: Springer. doi: 10.1007/978-3-540-72680-7_12
   Google Scholar
• Data Stewardship Engineering Team. (2017). Retrieved from https://ncar.ucar.edu/data-stewardship-engineering-team-dset
   Google Scholar
• Dodd, S. A. (1982). Cataloging Machine-Readable Data Files: An Interpretive Manual. Chicago, IL: American Library Association.
   Google Scholar
• Downs, R. R., & Chen, R. S. (2017). Curation of scientific data at risk of loss: Data rescue and dissemination. In L. Johnston (Ed). Curating Research Data: Volume One, Practical Strategies for Your Digital Repository (pp. 263–277). Chicago, IL: Association of College and Research Libraries. doi: 10.7916/D8W09BMQ
   Google Scholar
• Edwards, P. N. (2010). A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming. Cambridge, MA: MIT Press.
   Google Scholar
• ESIP Documentation Cluster. (2017). Documentation Terminology. Retrieved from http://wiki.esipfed.org/index.php/Documentation_Terminology
   Google Scholar
• Farnel, S., & Shiri, A. (2014). Metadata for research data: Current practices and trends. DCMI International Conference on Dublin Core and Metadata Applications, (DC-2014) 74–82. http://dcpapers.dublincore.org/pubs/article/view/3714.
   Google Scholar
• Federal Geographic Data Committee (FGDC). (2017). FGDC endorses ISO metadata and data quality standards. https://www.fgdc.gov/standards/news/fgdc-iso-metadata-standards
   Google Scholar
• Feinberg, M. (2017). The value of discernment: Making use of interpretive flexibility in metadata generation and aggregation. Information Research, 22(1), CoLIS paper 1649. http://InformationR.net/ir/22-1/colis/colis1649.html
   Web of Science ®Google Scholar
• Freeman, E., Woodruff, S. D., Worley, S. J., Lubker, S. J., Kent, E. C., Angel, W. E., … Smith, S.R. (2017). ICOADS Release 3.0: A major update to the historical marine climate record. International Journal of Climatology, 37(5), 2211–2232. doi:10.1002/joc.4775
   Web of Science ®Google Scholar
• Gray, A. S. (2013). Sue A. Dodd's lasting influence: Libraries, standards, and professional contributions. IASSIST Quarterly, ( Spring-Summer-Fall-Winter 2013), 37(1–4) 15–17. http://www.iassistdata.org/sites/default/files/iqvol371_4_gray.pdf.
   Google Scholar
• Greenberg, J. (2014). Metadata capital: Raising awareness, exploring a new concept. Bulletin of the Association for Information Science & Technology, 40(4), 30–33. doi:10.1002/bult.2014.1720400412
   Google Scholar
• Grover, W. C. (1962). The role of the archivist in the preservation of scientific records. Isis, 53(1), 55–62. doi:10.1086/349530
   Google Scholar
• Heery, R., & Patel, M. (2000). Application profiles: Mixing and matching metadata schemas. Ariadne, Issue 25. http://www.ariadne.ac.uk/Issue25/App-Profiles/
   Google Scholar
• Hou, C.-Y., Mayernik, M. S., & Worley, S. (2017). Building community informed and driven data services at the National Center for Atmospheric Research. In Proceedings of the Practice and Experience in Advanced Research Computing (PEARC) Conference 2017, Article No. 21. doi: 10.1145/3093338.3093343
   Google Scholar
• International Organization for Standardization. (2014). ISO 19115-1:2014. Retrieved from https://www.iso.org/standard/53798.html
   Google Scholar
• Jacobs, C. A., & Worley, S. J. (2009). Data curation in climate and weather: Transforming our ability to improve predictions through global knowledge sharing. International Journal of Digital Curation, 4(2), 68–79. doi:10.2218/ijdc.v4i2.94
   Google Scholar
• Johnston, L. R., Carlson, J. R., Hswe, P., Hudson-Vitale, C., Imker, H., Kozlowski, W., Olendorf, R. K., & Stewart, C. (2017). Data Curation Network: How do we compare? A snapshot of six academic library institutions' data repository and curation services. Journal of eScience Librarianship, 6(1), e1102.
   Google Scholar
• Kouper, I., Konkiel, S. R., Liss, J. A., & Hardesty, J. L. (2013). Collaborate, Automate, Prepare, Prioritize: Creating metadata for legacy research data. DCMI International Conference on Dublin Core and Metadata Applications (DC-2013), 41–46. http://dcpapers.dublincore.org/pubs/article/view/3684.
   Google Scholar
• Lagoze, C., Krafft, D., Cornwell, T., Dushay, N., Eckstrom, D., & Saylor, J. (2006). Metadata aggregation and “automated digital libraries”: A retrospective on the NSDL experience. In Proceedings of the 6th ACM/IEEE-CS Joint Conference on Digital Libraries (pp. 230–239). New York: Association for Computing Machinery.
   Google Scholar
• Major, G. R. (2004). Beyond bibliography: A dynamic approach to the cataloging of multidisciplinary environmental data for global change research. Science & Technology Libraries, 23(4), 21–36. doi:10.1300/J122v23n04_03
   Google Scholar
• Mayernik, M. S. (2016). Research data and metadata curation as institutional issues. Journal of the Association for Information Science and Technology, 67(4), 973–993. doi:10.1002/asi.23425
   Web of Science ®Google Scholar
• Myntti, J., & Neatrour, A. (2015). Use existing data first: Reconcile metadata before creating new controlled vocabularies. Journal of Library Metadata, 15(3-4), 191–207.
   Google Scholar
• [NASA] National Aeronautics and Space Administration. (2017). Global Change Master Directory (GCMD) Keywords. https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords
   Google Scholar
• Nicholas, D., Boukacem-Zeghmouri, C., Rodríguez-Bravo, B., Xu, J., Watkinson, A., Abrizah, A., & Świgoń, M. (2017). Where and how early career researchers find scholarly information. Learned Publishing, 30(1), 19–29. doi:10.1002/leap.1087
   Web of Science ®Google Scholar
• Qin, J., Ball, A., & Greenberg, J. (2012). Functional and architectural requirements for metadata: Supporting discovery and management of scientific data. DCMI International Conference on Dublin Core and Metadata Applications (DC-2012), 62–71. http://dcpapers.dublincore.org/pubs/article/view/3660.
   Google Scholar
• Rowe, J.S., & Geda, C. L. (1977). Training the professional data librarian. Drexel Library Quarterly, 13, 100–108.
   Web of Science ®Google Scholar
• Ruus, L. G. M. (1982). Training of data services professionals: Past, present, and future. Library Trends, 30(3), 455–466. http://hdl.handle.net/2142/7210
   Web of Science ®Google Scholar
• Schultz-Jones, B., Snow, K., Miksa, S., & HasenYager, Jr., R. L. (2012). Historical and current implications of cataloguing quality for next-generation catalogues. Library Trends, 61(1), 49–85.
   Web of Science ®Google Scholar
• Shreeves, S. L., Knutson, E. M., Stvilia, B., Palmer, C. L., Twidale, M. B., & Cole, T. W. (2005). Is quality metadata shareable metadata? The implications of local metadata practices for federated collections. In H.A. Thompson (Ed.), Proceedings of the Twelfth National Conference of the Association of College and Research Libraries (pp. 223–237). Chicago, IL: Association of College and Research Libraries. http://hdl.handle.net/2142/145
   Google Scholar
• Tenopir, C., Birch, B., & Allard, S. (2012). Academic Libraries and Research Data Services: Current Practices and Plans for the Future. An ACRL White Paper, Association of College and Research Libraries. http://www.ala.org/acrl/sites/ala.org.acrl/files/content/publications/whitepapers/Tenopir_Birch_Allard.pdf
   Google Scholar
• Tenopir, C., Hughes, D., Allard, S., Frame, M., Birch, B., Baird, L., … Lundeen, A. (2015). Research data services in academic libraries: Data intensive roles for the future? Journal of eScience Librarianship, 4(2), e1085. doi: 10.7191/jeslib.2015.1085
   Google Scholar
• Thorne, P. W., Allan, R. J., Ashcroft, L., Brohan, P., Dunn, R. J. H., Menne, M. J., … Worley, S. J. (2017). Towards an integrated set of surface meteorological observations for climate science and applications. Bulletin of the American Meteorological Society, 98(12), 2689–2702. doi:10.1175/BAMS-D-16-0165.1
   Web of Science ®Google Scholar
• Veale, L., Endfield, G., Davies, S., Macdonald, N., Naylor, S., Royer, M.-J., … Jones, C. (2017). Dealing with the deluge of historical weather data: The example of the TEMPEST database. Geo: Geography and Environment, 4(2), e00039.
   Google Scholar
• Weber, N. M., Baker, K. S., Thomer, A. K., Chao, T. C., & Palmer, C. L. (2012). Value and context in data use: Domain analysis revisited. Proceedings of the American Society for Information Science & Technology, 49, 1–10.
   Google Scholar
• Yasser, C. M. (2011). An analysis of problems in metadata records. Journal of Library Metadata, 11(3), 51–62. doi: 10.1080/19386389.2011.570654
   Google Scholar
• Zavalina, O. L., Palmer, C. L., Jackson, A. S., & Han, M.-J. (2009). Evaluating descriptive richness in collection-level metadata. Journal of Library Metadata, 8(4), 263–292. doi:10.1080/19386380802627109
   Google Scholar
• Zeng, M. (2015). Metadata types and functions. Retrieved from http://marciazeng.slis.kent.edu/metadatabasics/types.htm
   Google Scholar