IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v111y2017i1d10.1007_s11192-017-2240-2.html
   My bibliography  Save this article

An examination of research data sharing and re-use: implications for data citation practice

Author

Listed:
  • Hyoungjoo Park

    (University of Wisconsin – Milwaukee)

  • Dietmar Wolfram

    (University of Wisconsin – Milwaukee)

Abstract

This study examines characteristics of data sharing and data re-use in Genetics and Heredity, where data citation is most common. This study applies an exploratory method because data citation is a relatively new area. The Data Citation Index (DCI) on the Web of Science was selected because DCI provides a single access point to over 500 data repositories worldwide and to over two million data studies and datasets across multiple disciplines and monitors quality research data through a peer review process. We explore data citations for Genetics and Heredity, as a case study by examining formal citations recorded in the DCI and informally by sampling a selection of papers for implicit data citations within publications. Citer-based analysis is conducted in order to remedy self-citation in the data citation phenomena. We explore 148 sampled citing articles in order to identify factors that influence data sharing and data re-use, including references, main text, supplementary data/information, acknowledgments, funding information, author information, and web/author resources. This study is unique in that it relies on a citer-based analysis approach and by analyzing peer-reviewed and published data, data repositories, and citing articles of highly productive authors where data sharing is most prevalent. This research is intended to provide a methodological and practical contribution to the study of data citation.

Suggested Citation

  • Hyoungjoo Park & Dietmar Wolfram, 2017. "An examination of research data sharing and re-use: implications for data citation practice," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 443-461, April.
    • Handle: RePEc:spr:scient:v:111:y:2017:i:1:d:10.1007_s11192-017-2240-2
    DOI: 10.1007/s11192-017-2240-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-017-2240-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-017-2240-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Benjamin F. Jones, 2009. "The Burden of Knowledge and the "Death of the Renaissance Man": Is Innovation Getting Harder?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 283-317.
    2. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    3. Isabella Peters & Peter Kraker & Elisabeth Lex & Christian Gumpenberger & Juan Gorraiz, 2016. "Research data explored: an extended analysis of citations and altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 723-744, May.
    4. Isola Ajiferuke & Kun Lu & Dietmar Wolfram, 2010. "A comparison of citer and citation-based measure outcomes for multiple disciplines," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(10), pages 2086-2096, October.
    5. Blaise Cronin, 2001. "Hyperauthorship: A postmodern perversion or evidence of a structural shift in scholarly communication practices?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(7), pages 558-569.
    6. Isola Ajiferuke & Kun Lu & Dietmar Wolfram, 2010. "A comparison of citer and citation‐based measure outcomes for multiple disciplines," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(10), pages 2086-2096, October.
    7. Heather A Piwowar & Roger S Day & Douglas B Fridsma, 2007. "Sharing Detailed Research Data Is Associated with Increased Citation Rate," PLOS ONE, Public Library of Science, vol. 2(3), pages 1-5, March.
    8. Kun Lu & Isola Ajiferuke & Dietmar Wolfram, 2014. "Extending citer analysis to journal impact evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 245-260, July.
    9. Carol Tenopir & Elizabeth D Dalton & Suzie Allard & Mike Frame & Ivanka Pjesivac & Ben Birch & Danielle Pollock & Kristina Dorsett, 2015. "Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-24, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nushrat Khan & Mike Thelwall & Kayvan Kousha, 2021. "Measuring the impact of biodiversity datasets: data reuse, citations and altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3621-3639, April.
    2. Yongmei Bai & Jian Du, 2022. "Measuring the impact of health research data in terms of data citations by scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6881-6893, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ajiferuke, Isola & Lu, Kun & Wolfram, Dietmar, 2011. "Who are the research disciples of an author? Examining publication recitation and oeuvre citation exhaustivity," Journal of Informetrics, Elsevier, vol. 5(2), pages 292-302.
    2. Shibayama, Sotaro & Lawson, Cornelia, 2021. "The use of rewards in the sharing of research resources," Research Policy, Elsevier, vol. 50(7).
    3. Mike Thelwall & Marcus Munafò & Amalia Mas-Bleda & Emma Stuart & Meiko Makita & Verena Weigert & Chris Keene & Nushrat Khan & Katie Drax & Kayvan Kousha, 2020. "Is useful research data usually shared? An investigation of genome-wide association study summary statistics," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-11, February.
    4. Cappelletti-Montano, Beniamino & Columbu, Silvia & Montaldo, Stefano & Musio, Monica, 2021. "New perspectives in bibliometric indicators: Moving from citations to citing authors," Journal of Informetrics, Elsevier, vol. 15(3).
    5. Laura Barbieri & Daniela Bragoli & Flavia Cortelezzi & Giovanni Marseguerra, 2015. "Public Support to Innovation Strategies," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1509, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    6. Chung-Souk Han, 2011. "On the demographical changes of U.S. research doctorate awardees and corresponding trends in research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 845-865, December.
    7. Crescenzi, Riccardo & Nathan, Max & Rodríguez-Pose, Andrés, 2016. "Do inventors talk to strangers? On proximity and collaborative knowledge creation," Research Policy, Elsevier, vol. 45(1), pages 177-194.
    8. Graf, Holger & Kalthaus, Martin, 2018. "International research networks: Determinants of country embeddedness," Research Policy, Elsevier, vol. 47(7), pages 1198-1214.
    9. Valentina Bosetti & Cristina Cattaneo & Elena Verdolini, 2012. "Migration, Cultural Diversity and Innovation: A European Perspective," Working Papers 469, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    10. Wolfram, Dietmar & Zhao, Yuehua, 2014. "A comparison of journal similarity across six disciplines using citing discipline analysis," Journal of Informetrics, Elsevier, vol. 8(4), pages 840-853.
    11. Kai Li & Jason Rollins & Erjia Yan, 2018. "Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 1-20, April.
    12. Cristiano Antonelli & Alessandra Colombelli, 2018. "The cost of knowledge," Chapters, in: The Evolutionary Complexity of Endogenous Innovation, chapter 6, pages 128-150, Edward Elgar Publishing.
    13. Barbara McGillivray & Paola Marongiu & Nilo Pedrazzini & Marton Ribary & Mandy Wigdorowitz & Eleonora Zordan, 2022. "Deep Impact: A Study on the Impact of Data Papers and Datasets in the Humanities and Social Sciences," Publications, MDPI, vol. 10(4), pages 1-40, October.
    14. Diego Useche & Ernest Miguelez & Francesco Lissoni, 2020. "Highly skilled and well connected: Migrant inventors in cross-border M&As," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 51(5), pages 737-763, July.
    15. Dolan, Paul & Metcalfe, Robert, 2012. "The relationship between innovation and subjective wellbeing," Research Policy, Elsevier, vol. 41(8), pages 1489-1498.
    16. Annamaria Conti & Christopher C. Liu, 2014. "The (Changing) Knowledge Production Function: Evidence from the MIT Department of Biology for 1970–2000," NBER Chapters, in: The Changing Frontier: Rethinking Science and Innovation Policy, pages 49-74, National Bureau of Economic Research, Inc.
    17. Kun Lu & Isola Ajiferuke & Dietmar Wolfram, 2014. "Extending citer analysis to journal impact evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 245-260, July.
    18. Annamaria Conti & Christopher C. Liu, 2014. "The (Changing) Knowledge Production Function: Evidence from the MIT Department of Biology for 1970-2000," NBER Working Papers 20037, National Bureau of Economic Research, Inc.
    19. Ajay Agrawal & John McHale & Alexander Oettl, 2018. "Finding Needles in Haystacks: Artificial Intelligence and Recombinant Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 149-174, National Bureau of Economic Research, Inc.
    20. Xie, Qing & Wang, Jiamin & Kim, Giyeong & Lee, Soobin & Song, Min, 2021. "A sensitivity analysis of factors influential to the popularity of shared data in data repositories," Journal of Informetrics, Elsevier, vol. 15(3).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:111:y:2017:i:1:d:10.1007_s11192-017-2240-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.