IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v6y2021i2p15-d492455.html

Repository Approaches to Improving the Quality of Shared Data and Code

Author

Listed:
  • Ana Trisovic

    (Institute for Quantitative Social Science, Harvard University, 1737 Cambridge St, Cambridge, MA 02138, USA)

  • Katherine Mika

    (Institute for Quantitative Social Science, Harvard University, 1737 Cambridge St, Cambridge, MA 02138, USA)

  • Ceilyn Boyd

    (Institute for Quantitative Social Science, Harvard University, 1737 Cambridge St, Cambridge, MA 02138, USA)

  • Sebastian Feger

    (European Organization for Nuclear Research (CERN), 1, Esplanade des Particules, CH-1217 Meyrin, Switzerland
    LMU Munich, 1, Geschwister-Scholl-Platz, 80539 Munich, Germany)

  • Mercè Crosas

    (Institute for Quantitative Social Science, Harvard University, 1737 Cambridge St, Cambridge, MA 02138, USA)

Abstract

Sharing data and code for reuse has become increasingly important in scientific work over the past decade. However, in practice, shared data and code may be unusable, or published results obtained from them may be irreproducible. Data repository features and services contribute significantly to the quality, longevity, and reusability of datasets. This paper presents a combination of original and secondary data analysis studies focusing on computational reproducibility, data curation, and gamified design elements that can be employed to indicate and improve the quality of shared data and code. The findings of these studies are sorted into three approaches that can be valuable to data repositories, archives, and other research dissemination platforms.

Suggested Citation

  • Ana Trisovic & Katherine Mika & Ceilyn Boyd & Sebastian Feger & Mercè Crosas, 2021. "Repository Approaches to Improving the Quality of Shared Data and Code," Data, MDPI, vol. 6(2), pages 1-12, February.
    • Handle: RePEc:gam:jdataj:v:6:y:2021:i:2:p:15-:d:492455
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/6/2/15/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2306-5729/6/2/15/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gary King, 2007. "An Introduction to the Dataverse Network as an Infrastructure for Data Sharing," Sociological Methods & Research, , vol. 36(2), pages 173-199, November.
    2. Monya Baker, 2016. "1,500 scientists lift the lid on reproducibility," Nature, Nature, vol. 533(7604), pages 452-454, May.
    3. repec:nas:journl:v:115:y:2018:p:2584-2589 is not listed on IDEAS
    4. 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.
    5. 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.
    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. Elizabeth Yakel & Ixchel M. Faniel & Lionel P. Robert, 2024. "An empirical examination of data reuser trust in a digital repository," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 75(8), pages 898-915, August.
    2. Wanda Marsolek & Sarah J Wright & Hoa Luong & Susan M Braxton & Jake Carlson & Sophia Lafferty-Hess, 2023. "Understanding the value of curation: A survey of researcher perspectives of data curation services from six US institutions," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-20, November.

    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. repec:plo:pone00:0104798 is not listed on IDEAS
    2. Liwei Zhang & Liang Ma, 2023. "Is open science a double-edged sword?: data sharing and the changing citation pattern of Chinese economics articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2803-2818, May.
    3. 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.
    4. Vikas Jaiman & Leonard Pernice & Visara Urovi, 2022. "User incentives for blockchain-based data sharing platforms," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-22, April.
    5. repec:plo:pone00:0188511 is not listed on IDEAS
    6. Kavya Asok & Dinesh Kumar Gupta & Prashant Shrivastava, 2025. "Research data policy: a library and information science publishers’ perspective," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(2), pages 995-1016, April.
    7. 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.
    8. Benedikt Fecher & Sascha Friesike & Marcel Hebing, 2014. "What Drives Academic Data Sharing?," SOEPpapers on Multidisciplinary Panel Data Research 655, DIW Berlin, The German Socio-Economic Panel (SOEP).
    9. Laure Perrier & Erik Blondal & A Patricia Ayala & Dylanne Dearborn & Tim Kenny & David Lightfoot & Roger Reka & Mindy Thuna & Leanne Trimble & Heather MacDonald, 2017. "Research data management in academic institutions: A scoping review," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.
    10. Mike Thelwall, 2020. "Data in Brief: Can a mega-journal for data be useful?," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 697-709, July.
    11. Qing Liu & Hosung Son, 2024. "Data selection and collection for constructing investor sentiment from social media," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    12. 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.
    13. 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.
    14. 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.
    15. Jingfeng Xia, 2013. "Mandates and the Contributions of Open Genomic Data," Publications, MDPI, vol. 1(3), pages 1-14, October.
    16. Benedikt Fecher & Sascha Friesike & Marcel Hebing, 2014. "What Drives Academic Data Sharing?," RatSWD Working Papers 236, German Data Forum (RatSWD).
    17. 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.
    18. 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.
    19. Gillian Oliver & Jocelyn Cranefield & Spencer Lilley & Matthew J. Lewellen, 2024. "Understanding data culture/s: Influences, activities, and initiatives: An Annual Review of Information Science and Technology (ARIST) paper," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 75(3), pages 201-214, March.
    20. Andrea K. Thomer, 2022. "Integrative data reuse at scientifically significant sites: Case studies at Yellowstone National Park and the La Brea Tar Pits," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1155-1170, August.
    21. 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.
    22. Christian Hopp & Francis J. Greene & Benson Honig & Tomas Karlsson & Mikael Samuelsson, 2018. "Revisiting the influence of institutional forces on the written business plan: a replication study," Management Review Quarterly, Springer, vol. 68(4), pages 361-398, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:gam:jdataj:v:6:y:2021:i:2:p:15-:d:492455. 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: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.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.