Data Sharing and Global Public Health: Defining What We Mean by Data

Nina Schwalbe, Brian Wahl, Jingyi Song and Susanna Lehtimaki, (2020). Data Sharing and Global Public Health: Defining What We Mean by Data. Frontiers in Digital Health, 2 n/a-n/a

Document type:
Article
Collection:

Metadata
Documents
Links
Versions
Statistics
  • Attached Files (Some files may be inaccessible until you login with your UNU Collections credentials)
    Name Description MIMEType Size Downloads
    fdgth-02-612339.pdf fdgth-02-612339.pdf Click to show the corresponding preview/stream application/pdf; Bytes
  • Sub-type Journal article
    Author Nina Schwalbe
    Brian Wahl
    Jingyi Song
    Susanna Lehtimaki
    Title Data Sharing and Global Public Health: Defining What We Mean by Data
    Appearing in Frontiers in Digital Health
    Volume 2
    Publication Date 2020-12-14
    Place of Publication Switzerland
    Publisher Frontiers
    Start page n/a
    End page n/a
    Language eng
    Abstract Improved information technology infrastructure and the widespread availability of mobile phones have contributed to an unprecedented amount of data produced globally each year. Data relevant to medicine and public health are being generated from a range of sources, including individuals (i.e., through social media and internet-connected devices), public and private health systems, and health researchers. These data are increasingly digitized and critical for the development of new health interventions, in particular those that use artificial intelligence and machine learning to improve health outcomes (1, 2). Recognizing that pooling and sharing data can accelerate innovation, there have been several calls in recent years to make data available as a global public good for health as part of a set of collective actions that are global in scope and required to address transnational health challenges (3, 4).
    Keyword Public health
    Data
    Global public goods
    Copyright Holder Authors
    Copyright Year 2020
    Copyright type Creative commons
    DOI 10.3389/fdgth.2020.612339
  • Versions
    Version Filter Type
  • Citation counts
    Google Scholar Search Google Scholar
    Access Statistics: 122 Abstract Views, 65 File Downloads  -  Detailed Statistics
    Created: Tue, 04 Jan 2022, 14:46:16 JST by Anne Cortez on behalf of UNU IIGH