IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v66y2015i2p246-263.html
   My bibliography  Save this article

Research project tasks, data, and perceptions of data quality in a condensed matter physics community

Author

Listed:
  • Besiki Stvilia
  • Charles C. Hinnant
  • Shuheng Wu
  • Adam Worrall
  • Dong Joon Lee
  • Kathleen Burnett
  • Gary Burnett
  • Michelle M. Kazmer
  • Paul F. Marty

Abstract

No abstract is available for this item.

Suggested Citation

  • Besiki Stvilia & Charles C. Hinnant & Shuheng Wu & Adam Worrall & Dong Joon Lee & Kathleen Burnett & Gary Burnett & Michelle M. Kazmer & Paul F. Marty, 2015. "Research project tasks, data, and perceptions of data quality in a condensed matter physics community," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(2), pages 246-263, February.
    • Handle: RePEc:bla:jinfst:v:66:y:2015:i:2:p:246-263
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/asi.23177
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Isto Huvila, 2020. "Use-Oriented Information and Knowledge Management: Information Production and Use Practices as an Element of the Value and Impact of Information," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1-25, January.
    2. Ming Zeng & Yanbin Xu & Haoyu Wu & Jiaxin Ma & Jianwei Gao, 2022. "Sustainable Insights for Energy Big Data Governance in China: Full Life Cycle Curation from the Ecosystem Perspective," Sustainability, MDPI, vol. 14(10), pages 1-30, May.
    3. Besiki Stvilia & Shuheng Wu & Dong Joon Lee, 2018. "Researchers’ participation in and motivations for engaging with research information management systems," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-24, February.
    4. 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.
    5. Chen Zhang & Taisheng Gong, 2023. "RETRACTED ARTICLE: The brand strategy and cross-border promotion of Han Chinese clothing under the digital economy," Electronic Commerce Research, Springer, vol. 23(1), pages 257-277, March.

    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:66:y:2015:i:2:p:246-263. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.