IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v68y2017i12p2709-2719.html
   My bibliography  Save this article

Scientists' data reuse behaviors: A multilevel analysis

Author

Listed:
  • Youngseek Kim
  • Ayoung Yoon

Abstract

This study explores the factors that influence the data reuse behaviors of scientists and identifies the generalized patterns that occur in data reuse across various disciplines. This research employed an integrated theoretical framework combining institutional theory and the theory of planned behavior. The combined theoretical framework can apply the institutional theory at the individual level and extend the theory of planned behavior by including relevant contexts. This study utilized a survey method to test the proposed research model and hypotheses. Study participants were recruited from the Community of Science's (CoS) Scholar Database, and a total of 1,528 scientists responded to the survey. A multilevel analysis method was used to analyze the 1,237 qualified responses. This research showed that scientists' data reuse intentions are influenced by both disciplinary level factors (availability of data repositories) and individual level factors (perceived usefulness, perceived concern, and the availability of internal resources). This study has practical implications for promoting data reuse practices. Three main areas that need to be improved are identified: Educating scientists, providing internal supports, and providing external resources and supports such as data repositories.

Suggested Citation

  • Youngseek Kim & Ayoung Yoon, 2017. "Scientists' data reuse behaviors: A multilevel analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2709-2719, December.
    • Handle: RePEc:bla:jinfst:v:68:y:2017:i:12:p:2709-2719
    DOI: 10.1002/asi.23892
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.23892
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.23892?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
    ---><---

    References listed on IDEAS

    as
    1. Hichang Cho & MeiHui Chen & Siyoung Chung, 2010. "Testing an integrative theoretical model of knowledge‐sharing behavior in the context of Wikipedia," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(6), pages 1198-1212, June.
    2. Hong Huang & Besiki Stvilia & Corinne Jörgensen & Hank W. Bass, 2012. "Prioritization of data quality dimensions and skills requirements in genome annotation work," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(1), pages 195-207, January.
    3. T. Lawrence & R. Suddaby & B. Leca, 2011. "Institutional work - Re-focusing institutional studies of organization," Post-Print hal-00802293, HAL.
    4. Kimberly Douglass & Suzie Allard & Carol Tenopir & Lei Wu & Mike Frame, 2014. "Managing scientific data as public assets: Data sharing practices and policies among full-time government employees," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(2), pages 251-262, February.
    5. Ixchel M. Faniel & Adam Kriesberg & Elizabeth Yakel, 2016. "Social scientists' satisfaction with data reuse," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(6), pages 1404-1416, June.
    6. Hong Huang & Besiki Stvilia & Corinne Jörgensen & Hank W. Bass, 2012. "Prioritization of data quality dimensions and skills requirements in genome annotation work," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(1), pages 195-207, January.
    7. Hichang Cho & MeiHui Chen & Siyoung Chung, 2010. "Testing an integrative theoretical model of knowledge-sharing behavior in the context of Wikipedia," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(6), pages 1198-1212, June.
    8. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    9. Christine L. Borgman, 2012. "The conundrum of sharing research data," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(6), pages 1059-1078, June.
    10. Christine L. Borgman, 2012. "The conundrum of sharing research data," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(6), pages 1059-1078, June.
    11. Feng‐Yang Kuo & Mei‐Lien Young, 2008. "A study of the intention–action gap in knowledge sharing practices," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(8), pages 1224-1237, June.
    12. Bryn Nelson, 2009. "Data sharing: Empty archives," Nature, Nature, vol. 461(7261), pages 160-163, September.
    13. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    14. Youngseek Kim & Jeffrey M. Stanton, 2016. "Institutional and individual factors affecting scientists' data-sharing behaviors: A multilevel analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(4), pages 776-799, April.
    15. 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. Christa E. Winkler & Rebecca Fay Berenbon, 2021. "Validation of a survey for measuring scientists' attitudes toward data reuse," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 449-453, April.
    2. Xiaoguang Wang & Qingyu Duan & Mengli Liang, 2021. "Understanding the process of data reuse: An extensive review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(9), pages 1161-1182, September.
    3. Bettina Suhr & Johanna Dungl & Alexander Stocker, 2020. "Search, reuse and sharing of research data in materials science and engineering—A qualitative interview study," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-26, September.
    4. Claire M Mason & Paul J Box & Shanae M Burns, 2020. "Research data sharing in the Australian national science agency: Understanding the relative importance of organisational, disciplinary and domain-specific influences," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    5. Dolores Gallardo-Vázquez & Flavio Hourneaux Junior & Marcelo Luiz Dias da Silva Gabriel & Luis Enrique Valdez-Juárez, 2021. "On Earth as It Is in Heaven: Proxy Measurements to Assess Sustainable Development Goals at the Company Level through CSR Indicators," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    6. Anneke Zuiderwijk & Rhythima Shinde & Wei Jeng, 2020. "What drives and inhibits researchers to share and use open research data? A systematic literature review to analyze factors influencing open research data adoption," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-49, September.

    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. Keiko Kurata & Mamiko Matsubayashi & Shinji Mine, 2017. "Identifying the Complex Position of Research Data and Data Sharing Among Researchers in Natural Science," SAGE Open, , vol. 7(3), pages 21582440177, July.
    2. Claire M Mason & Paul J Box & Shanae M Burns, 2020. "Research data sharing in the Australian national science agency: Understanding the relative importance of organisational, disciplinary and domain-specific influences," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    3. Federica Cugnata & Chiara Brombin & Chiara Maria Poli & Roberto Buccione & Clelia Serio, 2024. "Modelling perception and resilience factors to data sharing in clinical and basic research: an observational study," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3169-3192, June.
    4. Shibayama, Sotaro & Lawson, Cornelia, 2021. "The use of rewards in the sharing of research resources," Research Policy, Elsevier, vol. 50(7).
    5. Ryan P Womack, 2015. "Research Data in Core Journals in Biology, Chemistry, Mathematics, and Physics," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-22, December.
    6. Lindung Parningotan Manik & Zaenal Akbar & Aris Yaman & Ariani Indrawati, 2022. "Indonesian Scientists’ Behavior Relative to Research Data Governance in Preventing WMD-Applicable Technology Transfer," Publications, MDPI, vol. 10(4), pages 1-29, December.
    7. Zhang, Min & Li, Yuzhuo & Gu, Rongjie & Luo, Cheng, 2021. "What type of purchase do you prefer to share on social networking sites: Experiential or material?," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    8. Stefan Reichmann & Thomas Klebel & Ilire Hasani‐Mavriqi & Tony Ross‐Hellauer, 2021. "Between administration and research: Understanding data management practices in an institutional context," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(11), pages 1415-1431, November.
    9. Joshua Borycz & Robert Olendorf & Alison Specht & Bruce Grant & Kevin Crowston & Carol Tenopir & Suzie Allard & Natalie M. Rice & Rachael Hu & Robert J. Sandusky, 2023. "Perceived benefits of open data are improving but scientists still lack resources, skills, and rewards," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    10. Benedikt Fecher & Sascha Friesike & Marcel Hebing, 2015. "What Drives Academic Data Sharing?," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-25, February.
    11. Sixto-Costoya Andrea & Robinson-Garcia Nicolas & Leeuwen Thed & Costas Rodrigo, 2021. "Exploring the relevance of ORCID as a source of study of data sharing activities at the individual-level: a methodological discussion," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7149-7165, August.
    12. Libby Hemphill & Margaret L. Hedstrom & Susan Hautaniemi Leonard, 2021. "Saving social media data: Understanding data management practices among social media researchers and their implications for archives," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(1), pages 97-109, January.
    13. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    14. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    15. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    16. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    17. Bilgihan, Anil & Barreda, Albert & Okumus, Fevzi & Nusair, Khaldoon, 2016. "Consumer perception of knowledge-sharing in travel-related Online Social Networks," Tourism Management, Elsevier, vol. 52(C), pages 287-296.
    18. Garín-Muñoz, Teresa & López, Rafael & Pérez-Amaral, Teodosio & Herguera, Iñigo & Valarezo, Angel, 2019. "Models for individual adoption of eCommerce, eBanking and eGovernment in Spain," Telecommunications Policy, Elsevier, vol. 43(1), pages 100-111.
    19. Venkatesh, Viswanath & Maruping, Likoebe M. & Brown, Susan A., 2006. "Role of time in self-prediction of behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 100(2), pages 160-176, July.
    20. Joan Torrent-Sellens & Cristian Salazar-Concha & Pilar Ficapal-Cusí & Francesc Saigí-Rubió, 2021. "Using Digital Platforms to Promote Blood Donation: Motivational and Preliminary Evidence from Latin America and Spain," IJERPH, MDPI, vol. 18(8), pages 1-17, April.

    More about this item

    Statistics

    Access and download statistics

    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:bla:jinfst:v:68:y:2017:i:12:p:2709-2719. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    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.