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Data journals: A survey

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  • Leonardo Candela
  • Donatella Castelli
  • Paolo Manghi
  • Alice Tani

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Suggested Citation

  • Leonardo Candela & Donatella Castelli & Paolo Manghi & Alice Tani, 2015. "Data journals: A survey," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(9), pages 1747-1762, September.
    • Handle: RePEc:bla:jinfst:v:66:y:2015:i:9:p:1747-1762
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    File URL: http://hdl.handle.net/10.1002/asi.23358
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    Citations

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    Cited by:

    1. Mueller-Langer, Frank & Andreoli-Versbach, Patrick, 2018. "Open access to research data: Strategic delay and the ambiguous welfare effects of mandatory data disclosure," Information Economics and Policy, Elsevier, vol. 42(C), pages 20-34.
    2. Pan, Xuelian & Yan, Erjia & Wang, Qianqian & Hua, Weina, 2015. "Assessing the impact of software on science: A bootstrapped learning of software entities in full-text papers," Journal of Informetrics, Elsevier, vol. 9(4), pages 860-871.
    3. 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.
    4. Xuelian Pan & Erjia Yan & Weina Hua, 2016. "Disciplinary differences of software use and impact in scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1593-1610, December.
    5. 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.
    6. Dosso, Dennis & Silvello, Gianmaria, 2020. "Data credit distribution: A new method to estimate databases impact," Journal of Informetrics, Elsevier, vol. 14(4).
    7. Pablo Dorta-González & Sara M. González-Betancor & María Isabel Dorta-González, 2021. "To what extent is researchers' data-sharing motivated by formal mechanisms of recognition and credit?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2209-2225, March.
    8. Kai Li & Chenyue Jiao, 2022. "The data paper as a sociolinguistic epistemic object: A content analysis on the rhetorical moves used in data paper abstracts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(6), pages 834-846, June.

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