Repository of community practices in Ocean Research, Applications and Data/Information Management
  • About
  • FAQs
  • About
  • FAQs
    • Login
    View Item 
    •   Repository OceanBestPractices
    • ⇒ ZZZ_Miscellaneous Communities
    • RDA: Research Data Alliance
    • RDA Resources
    • View Item
    •   Repository OceanBestPractices
    • ⇒ ZZZ_Miscellaneous Communities
    • RDA: Research Data Alliance
    • RDA Resources
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Principles and best practices in data versioning for all data sets big and small. Version 1.1.

    Thumbnail
    View/Open
    PDF (236.9Kb)
    Average rating    votes
    Date
    2020
    Author
    Klump, Jens
    Wyborn, Lesley
    Wu, Mingfang
    Downs, Robert
    Asmi, Ari
    Ryder, Gerry
    Martin, Julia
    Corporate Author
    Research Data Alliance Data Versioning Working Group
    Status
    Published
    Pages
    19pp.
    Metadata
    Show full item record
    Abstract
    The demand for better reproducibility of research results is growing. More and more data is becoming available online. In some cases, the datasets have become so large that downloading the data is no longer feasible. Data can also be offered through web services and accessed on demand. This means that parts of the data are accessed at a remote source when needed. In this scenario, it will become increasingly important for a researcher to be able to cite the exact extract of the data set that was used to underpin their research publication. However, while the means to identify datasets using persistent identifiers have been in place for more than a decade, systematic data versioning practices are currently not available. Versioning procedures and best practices are well established for scientific software. The related Wikipedia article gives an overview of software versioning practices. The codebase of large software projects does bear some semblance to large dynamic datasets. Are th.....
    Resource URL
    https://www.rd-alliance.org/group/data-versioning-wg/outcomes/principles-and-best-practices-data-versioning-all-data-sets-big
    Publisher
    Research Data Alliance (RDA)
    Document Language
    en
    Maturity Level
    Pilot or Demonstrated
    DOI Original
    10.15497/RDA00042
    Citation
    Klump, J., Wyborn, L., Downs, R., Asmi, A., Wu, M., Ryder, G., & Martin, J. (2020) Principles and best practices in data versioning for all data sets big and small. Version 1.1. Research Data Alliance, 19pp. DOI: 10.15497/RDA00042.
    URI
    https://repository.oceanbestpractices.org/handle/11329/2157
    Collections
    • RDA Resources [6]

    What results are displayed?

    Perform Semantic Advanced Search.

    Browse

    All of OceanBestPracticesCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage StatisticsView Google Analytics Statistics

    © . UNESCO/IOC Project office for IODE Oostende, Belgium.
    Help Desk | Send Feedback

    How to Cite: OceanBestPractices Repository. Oostende, Belgium, International Oceanographic Data and Information Exchange(IODE). [Database]. Available: https://repository.oceanbestpractices.org/.

            

    Disclaimer: IOC/IODE does not warrant that the information, documents and materials contained in the OceanBestPractices repository website is complete and correct and shall not be liable whatsoever for any damages incurred as a result of its use.
    The information, data, statements, geographical boundaries, maps and declarations expressed in documents in this repository do not imply the official endorsement or acceptance by UNESCO. Contributors to this repository are solely responsible for the contents of their uploaded documents, the inclusion of which in this repository does not mean the approval or acceptance by UNESCO.

    Privacy Policy