skip to main content
research-article
Public Access

Why data citation is a computational problem

Published:24 August 2016Publication History
Skip Abstract Section

Abstract

Using database views to define citable units is the key to specifying and generating citations to data.

Skip Supplemental Material Section

Supplemental Material

References

  1. Altman, M. and King, G. A proposed standard for the scholarly citation of quantitative data. D-Lib Magazine 13, 3/4 (Mar./Apr. 2007).Google ScholarGoogle Scholar
  2. American Geophysical Union. AGU Publications Data Policy. Washington, D.C., Dec. 2013; http://publications.agu.org/author-resource-center/publication-policies/data-policy/ (accessed Nov. 2015)Google ScholarGoogle Scholar
  3. American Meteorological Society. Data Archiving and Citation. Boston, MA; https://www.ametsoc.org/ams/index.cfm/publications/authors/journal-and-bams-authors/journal-and-bams-authors-guide/data-archiving-and-citation/ (accessed Nov. 2015)Google ScholarGoogle Scholar
  4. Ball, A. and Duke, M. How to Cite Datasets and Link to Publications. The Digital Curation Centre, Edinburgh, U.K., 2012; http://www.dcc.ac.uk/resources/how-guides/cite-datasets (accessed Nov. 2015)Google ScholarGoogle Scholar
  5. Buneman, P. and Silvello, G. A rule-based citation system for structured and evolving datasets. IEEE Data Engineering Bulletin 33, 3 (2010), 33--41.Google ScholarGoogle Scholar
  6. Coalition on Publishing Data in the Earth and Space Sciences (COPDESS). Statement of commitment from earth and space science publishers and data facilities, 2015; http://www.copdess.org/statement-of-commitment/ (accessed Nov. 2015)Google ScholarGoogle Scholar
  7. CODATA-ICSTI Task Group on Data Citation Standards and Practices. Out of cite, out of mind: The current state of practice, policy, and technology for the citation of data. Data Science Journal 12, 0 (2013), CIDCR1--CIDCR75.Google ScholarGoogle ScholarCross RefCross Ref
  8. Data Observation Network for Earth (DataONE). Data Citation and Attribution; https://www.dataone.org/citing-dataone (accessed Nov. 2015)Google ScholarGoogle Scholar
  9. DataCite. DataCite metadata schema for the publication and citation of research data; http://schema.datacite.org/meta/kernel-3/doc/DataCite-MetadataKernel_v3.1.pdfGoogle ScholarGoogle Scholar
  10. Deutsch, A., Popa, L., and Tannen, V. Query reformulation with constraints. SIGMOD Record 35, 1 (2006), 65--73. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Fan, W., Chan, C.-Y., and Garofalakis, M. Secure XML querying with security views. In Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data. ACM Press, New York, 2004, 587--598. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Federation of Earth Science Information Partners (ESIP). Data Citation Guidelines for Data Providers and Archives; http://doi.org/10.7269/P34F1NNJGoogle ScholarGoogle Scholar
  13. FORCE11. Data Citation Synthesis Group: Joint Declaration of Data Citation Principles; https://www.force11.org/datacitation (accessed Nov. 2015)Google ScholarGoogle Scholar
  14. Halevy, A.Y. Answering queries using views: A survey. The VLDB Journal 10, 4 (2001), 270--294. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. International Council for Science Committee on Data for Science and Technology. Data Citation Standards and Practices, 2010; http://www.codata.org/task-groups/data-citation-standards-and-practices (accessed Nov. 2015)Google ScholarGoogle Scholar
  16. Lawrence, B., Jones, C., Matthews, B., Pepler, S., and Callaghan, S. Citation and peer review of data: Moving towards formal data publication. International Journal of Digital Curation 6, 2 (2011), 4--37.Google ScholarGoogle ScholarCross RefCross Ref
  17. Lenzerini, M. Data integration: A theoretical perspective. In Proceedings of the 21st ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (Madison, WI, June 3--6). ACM Press, New York, 2002, 233--246. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. McCallum, I., Plag, H.-P., and Fritz, S. GEOSS data citation guidelines: Version 2.0, 2012; http://www.gstss.org/library/GEOSS_Data_Citation_Guidelines_V2.0.pdf (accessed Nov. 2015)Google ScholarGoogle Scholar
  19. Page, L., Brin, S., Motwani, R., and Winograd, T. The PageRank Citation Ranking: Bringing Order to the Web. Technical Report 1999-66. Stanford InfoLab, Stanford University, Nov. 1999.Google ScholarGoogle Scholar
  20. Pawson, A.J., Sharman, J.L. et al. The IUPHAR/BPS Guide to PHARMACOLOGY: An expert-driven knowledgebase of drug targets and their ligands. Nucleic acids research 42, D1 (2014), D1098--D1106.Google ScholarGoogle Scholar
  21. Pröll, S. and Rauber, A. Scalable data citation in dynamic, large databases: Model and reference implementation. In Proceedings of the 2013 IEEE International Conference on Big Data (Santa Clara, CA, Oct. 6-9). IEEE Press, 2013, 307--312.Google ScholarGoogle ScholarCross RefCross Ref
  22. Pröll, S. and Rauber, A. A scalable framework for dynamic data citation of arbitrary structured data. In Proceedings of the Third International Conference on Data Management Technologies and Applications (Vienna, Austria, Aug. 29-31, 2014), 223--230. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Research Data Alliance Working Group on Data Citation. Making data citable: Case statement; https://rd-alliance.org/group/data-citation-wg/case-statement/wg-data-citation-making-data-citable-case-statement.html (accessed Nov. 2015)Google ScholarGoogle Scholar
  24. Salomonson, V.V., Barnes, W., and Masuoka, E.J. Introduction to MODIS and an overview of associated activities. In Earth Science Satellite Remote Sensing: Vol. 1: Science and Instruments. Springer, Berlin, Heidelberg, Germany, 2006, 12--32.Google ScholarGoogle ScholarCross RefCross Ref
  25. Silvello, G. A methodology for citing linked open data subsets. D-Lib Magazine 21, 1/2 (2015).Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Why data citation is a computational problem

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in

      Full Access

      • Published in

        cover image Communications of the ACM
        Communications of the ACM  Volume 59, Issue 9
        September 2016
        91 pages
        ISSN:0001-0782
        EISSN:1557-7317
        DOI:10.1145/2991470
        • Editor:
        • Moshe Y. Vardi
        Issue’s Table of Contents

        Copyright © 2016 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 24 August 2016

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article
        • Popular
        • Refereed

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      HTML Format

      View this article in HTML Format .

      View HTML Format