IDEAS home Printed from https://ideas.repec.org/p/ess/wpaper/id4686.html
   My bibliography  Save this paper

The Open Knowledge Foundation: Open Data Means Better Science

Author

Listed:
  • Jennifer C Molloy

Abstract

This article focuses on the Open Knowledge Definition and the Panton Principles for Open Data in Science. Some of the tools the group has developed to facilitate the generation and use of open data and the potential uses are discussed. This can encourage further movement towards an open scientific knowledge commons. [Plos Biology]. URL:[http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001195]

Suggested Citation

  • Jennifer C Molloy, 2012. "The Open Knowledge Foundation: Open Data Means Better Science," Working Papers id:4686, eSocialSciences.
  • Handle: RePEc:ess:wpaper:id:4686
    Note: Institutional Papers
    as

    Download full text from publisher

    File URL: http://www.esocialsciences.org/Download/repecDownload.aspx?fname=A201213123341_20.pdf&fcategory=Articles&AId=4686&fref=repec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Heather A. Piwowar & Todd J. Vision & Michael C. Whitlock, 2011. "Data archiving is a good investment," Nature, Nature, vol. 473(7347), pages 285-285, May.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Zeng, Tong & Wu, Longfeng & Bratt, Sarah & Acuna, Daniel E., 2020. "Assigning credit to scientific datasets using article citation networks," Journal of Informetrics, Elsevier, vol. 14(2).
    3. Garret Christensen & Allan Dafoe & Edward Miguel & Don A Moore & Andrew K Rose, 2019. "A study of the impact of data sharing on article citations using journal policies as a natural experiment," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-13, December.
    4. Andreoli-Versbach, Patrick & Mueller-Langer, Frank, 2014. "Open access to data: An ideal professed but not practised," Research Policy, Elsevier, vol. 43(9), pages 1621-1633.
    5. 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).
    6. Javier Martínez-Vega & David Rodríguez-Rodríguez, 2022. "Protected Area Effectiveness in the Scientific Literature: A Decade-Long Bibliometric Analysis," Land, MDPI, vol. 11(6), pages 1-14, June.
    7. Mark J. McCabe & Frank Mueller-Langer, 2019. "Does Data Disclosure Increase Citations? Empirical Evidence from a Natural Experiment in Leading Economics Journals," JRC Working Papers on Digital Economy 2019-02, Joint Research Centre.
    8. Harper, Lindsey M. & Kim, Youngseek, 2018. "Attitudinal, normative, and resource factors affecting psychologists’ intentions to adopt an open data badge: An empirical analysis," International Journal of Information Management, Elsevier, vol. 41(C), pages 23-32.
    9. 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.
    10. Giovanni Colavizza & Iain Hrynaszkiewicz & Isla Staden & Kirstie Whitaker & Barbara McGillivray, 2020. "The citation advantage of linking publications to research data," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-18, April.
    11. Dominique G Roche & Loeske E B Kruuk & Robert Lanfear & Sandra A Binning, 2015. "Public Data Archiving in Ecology and Evolution: How Well Are We Doing?," PLOS Biology, Public Library of Science, vol. 13(11), pages 1-12, November.
    12. Keren Weinshall & Lee Epstein, 2020. "Developing High‐Quality Data Infrastructure for Legal Analytics: Introducing the Israeli Supreme Court Database," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 17(2), pages 416-434, June.
    13. Renata Gonçalves Curty & Kevin Crowston & Alison Specht & Bruce W Grant & Elizabeth D Dalton, 2017. "Attitudes and norms affecting scientists’ data reuse," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-22, December.
    14. 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.
    15. Eirini Delikoura & Dimitrios Kouis, 2021. "Open Research Data and Open Peer Review: Perceptions of a Medical and Health Sciences Community in Greece," Publications, MDPI, vol. 9(2), pages 1-19, March.
    16. Colléter, Mathieu & Valls, Audrey & Guitton, Jérôme & Gascuel, Didier & Pauly, Daniel & Christensen, Villy, 2015. "Global overview of the applications of the Ecopath with Ecosim modeling approach using the EcoBase models repository," Ecological Modelling, Elsevier, vol. 302(C), pages 42-53.
    17. 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.
    18. Doris Bambey & Louise Corti & Michael Diepenbroek & Heidemarie Hanekop & Betina Hollstein & Sabine Imeri & Hubert Knoblauch & Susanne Kretzer & Christian Meier zu Verl & Christian Meyer & Alexia Meyer, 2018. "Archivierung und Zugang zu Qualitativen Daten," RatSWD Working Papers 267, German Data Forum (RatSWD).
    19. Liwei Zhang & Liang Ma, 2021. "Does open data boost journal impact: evidence from Chinese economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3393-3419, April.
    20. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.

    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:ess:wpaper:id:4686. 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: Padma Prakash (email available below). General contact details of provider: http://www.esocialsciences.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.