IDEAS home Printed from https://ideas.repec.org/a/gam/jpubli/v5y2017i1p2-d87230.html
   My bibliography  Save this article

Research Data Reusability: Conceptual Foundations, Barriers and Enabling Technologies

Author

Listed:
  • Costantino Thanos

    (Institute of Information Science and Technologies, National Research Council of Italy, 56124 Pisa, Italy)

Abstract

High-throughput scientific instruments are generating massive amounts of data. Today, one of the main challenges faced by researchers is to make the best use of the world’s growing wealth of data. Data (re)usability is becoming a distinct characteristic of modern scientific practice. By data (re)usability, we mean the ease of using data for legitimate scientific research by one or more communities of research (consumer communities) that is produced by other communities of research (producer communities). Data (re)usability allows the reanalysis of evidence, reproduction and verification of results, minimizing duplication of effort, and building on the work of others. It has four main dimensions: policy, legal, economic and technological. The paper addresses the technological dimension of data reusability. The conceptual foundations of data reuse as well as the barriers that hamper data reuse are presented and discussed. The data publication process is proposed as a bridge between the data author and user and the relevant technologies enabling this process are presented.

Suggested Citation

  • Costantino Thanos, 2017. "Research Data Reusability: Conceptual Foundations, Barriers and Enabling Technologies," Publications, MDPI, vol. 5(1), pages 1-19, January.
  • Handle: RePEc:gam:jpubli:v:5:y:2017:i:1:p:2-:d:87230
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2304-6775/5/1/2/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2304-6775/5/1/2/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alaina G. Kanfer & Caroline Haythornthwaite & Bertram C. Bruce & Geoffrey C. Bowker & Nicholas C. Burbules & Joseph F. Porac & James Wade, 2000. "Modeling Distributed Knowledge Processes in Next Generation Multidisciplinary Alliances," Information Systems Frontiers, Springer, vol. 2(3), pages 317-331, October.
    2. Christian Bizer & Tom Heath & Tim Berners-Lee, 2009. "Linked Data - The Story So Far," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 5(3), pages 1-22, July.
    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. Sirio Cividino & Gianluca Egidi & Ilaria Zambon & Andrea Colantoni, 2019. "Evaluating the Degree of Uncertainty of Research Activities in Industry 4.0," Future Internet, MDPI, vol. 11(9), pages 1-21, 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. Stahl, Florian & Schomm, Fabian & Vossen, Gottfried, 2012. "Marketplaces for data: An initial survey," ERCIS Working Papers 14, University of Münster, European Research Center for Information Systems (ERCIS).
    2. Anett HOPPE & Ana ROXIN & Christophe NICOLLE, 2015. "Ontology-based Integration of Web Navigation for Dynamic User Profiling," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 19(1), pages 10-24.
    3. Anne E Thessen & Cynthia Sims Parr, 2014. "Knowledge Extraction and Semantic Annotation of Text from the Encyclopedia of Life," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-10, March.
    4. Kurt Sandkuhl & Hans-Georg Fill & Stijn Hoppenbrouwers & John Krogstie & Florian Matthes & Andreas Opdahl & Gerhard Schwabe & Ömer Uludag & Robert Winter, 2018. "From Expert Discipline to Common Practice: A Vision and Research Agenda for Extending the Reach of Enterprise Modeling," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(1), pages 69-80, February.
    5. Phillip Lord & Simon Cockell & Robert Stevens, 2012. "Three Steps to Heaven: Semantic Publishing in a Real World Workflow," Future Internet, MDPI, vol. 4(4), pages 1-12, November.
    6. Marta Sabou & Irem Onder & Adrian M. P. Brasoveanu & Arno Scharl, 2016. "Towards cross-domain data analytics in tourism: a linked data based approach," Information Technology & Tourism, Springer, vol. 16(1), pages 71-101, March.
    7. Wuhui Chen & Incheon Paik, 2013. "Improving efficiency of service discovery using Linked data-based service publication," Information Systems Frontiers, Springer, vol. 15(4), pages 613-625, September.
    8. Tianxing Wu & Guilin Qi & Cheng Li & Meng Wang, 2018. "A Survey of Techniques for Constructing Chinese Knowledge Graphs and Their Applications," Sustainability, MDPI, vol. 10(9), pages 1-26, September.
    9. Nitesh Khilwani & J. A. Harding, 2016. "Managing corporate memory on the semantic web," Journal of Intelligent Manufacturing, Springer, vol. 27(1), pages 101-118, February.
    10. Bouwman, Christa H.S., 2014. "Managerial optimism and earnings smoothing," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 283-303.
    11. Veale, Michael & Binns, Reuben, 2017. "Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data," SocArXiv ustxg, Center for Open Science.
    12. Schiavone, Francesco & Paolone, Francesco & Mancini, Daniela, 2019. "Business model innovation for urban smartization," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 210-219.
    13. Ghadeer Ashour & Ahmed Al-Dubai & Imed Romdhani & Daniyal Alghazzawi, 2022. "Ontology-Based Linked Data to Support Decision-Making within Universities," Mathematics, MDPI, vol. 10(17), pages 1-21, September.
    14. E. G. Stephan & T. O. Elsethagen & L. K. Berg & M. C. Macduff & P. R. Paulson & W. J. Shaw & C. Sivaraman & W. P. Smith & A. Wynne, 2016. "Semantic catalog of things, services, and data to support a wind data management facility," Information Systems Frontiers, Springer, vol. 18(4), pages 679-691, August.
    15. Hossein Hassani & Xu Huang & Mansi Ghodsi, 2018. "Big Data and Causality," Annals of Data Science, Springer, vol. 5(2), pages 133-156, June.
    16. Muhammad Sajid Qureshi & Ali Daud, 2021. "Fine-grained academic rankings: mapping affiliation of the influential researchers with the top ranked HEIs," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8331-8361, October.
    17. Sean Kennedy & Owen Molloy & Robert Stewart & Paul Jacob & Maria Maleshkova & Frank Doheny, 2012. "A Semantically Automated Protocol Adapter for Mapping SOAP Web Services to RESTful HTTP Format to Enable the Web Infrastructure, Enhance Web Service Interoperability and Ease Web Service Migration," Future Internet, MDPI, vol. 4(2), pages 1-24, April.
    18. Riccardo Cognini & Flavio Corradini & Stefania Gnesi & Andrea Polini & Barbara Re, 0. "Business process flexibility - a systematic literature review with a software systems perspective," Information Systems Frontiers, Springer, vol. 0, pages 1-29.
    19. Simon French, 2012. "Expert Judgment, Meta-analysis, and Participatory Risk Analysis," Decision Analysis, INFORMS, vol. 9(2), pages 119-127, June.
    20. Raymond Y. K. Lau & J. Leon Zhao & Wenping Zhang & Yi Cai & Eric W. T. Ngai, 2015. "Learning Context-Sensitive Domain Ontologies from Folksonomies: A Cognitively Motivated Method," INFORMS Journal on Computing, INFORMS, vol. 27(3), pages 561-578, August.

    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:jpubli:v:5:y:2017:i:1:p:2-:d:87230. 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 (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.