When sharing isn’t caring: a panel discussion on de-identifying data

    Activity: Conferences and workshopsParticipation in workshop, seminar or course


    Increasingly, researchers are being encouraged to share their data, by funding bodies, publishers and other researchers who want to build on your work. However, there are situations where sharing really isn’t caring and steps need to be taken to protect the people, places or things being studied for a variety of reasons. Sensitive data is the most difficult, expensive and time-consuming to collect and can be seen as the most difficult to share, but if it can somehow be shared in a legally and ethically-appropriate way, then there stands to be a lot of benefit derived from it. Even if you only publish the metadata, it means that others can find your data and cite it. But if you can make the de-identified dataset available, it enables and facilitates peer review, stimulates interest in your work, the related publications are likely to be cited more, it enables collaboration and resource sharing, it facilitates meta-analysis and means your research does not need to be repeated, and it encourages transparency and reproducibility of results. This all encourages wider dissemination and greater impact as well as citations.
    Period16 Nov 2020
    Event typeSeminar
    LocationCrawley, Australia, Western AustraliaShow on map
    Degree of RecognitionLocal