Date and time: Tuesday, 4 November, Session I: 09.45-11.15, Session II: 11.45-13.15
Conveners: Prof. Jane Hunter (jane@itee.uq.edu.au), Dr. Tyng-Ruey Chuang (trc@iis.sinica.edu.tw).
Summary:
Various functions in the research data lifecycle are increasingly performed with the help of non-experts. In many cases, the data are even generated and provided directly by people who are not involved in the research use of the produced datasets. The “crowdsourcing” of certain data processing tasks (e.g., data classification) is becoming commonplace. In some areas (e.g., ecological survey and environmental research), the active participation of volunteers in society has been crucial in the collection and sharing of observational records.
For example, such arrangements may involve the rights to use user-contributed data (i.e., User-Generated Contents, UGC), and whether and how the data are open to the public for reuse. The arrangements may also deal with issues in personal data usage and protection, data access privilege, and the roles of the data hosting institutions. Furthermore, as information service providers (such as social media) or other intermediaries may be involved in collecting user contributions, such arrangements may need to take into account the constraints imposed by third parties as well.
This session therefore looks into legal and policy arrangements for data reuse and collaboration, in particular when there are large numbers of participants (who are not researchers in the traditional sense) involved in the generation of the research datasets. The session will involve researchers and practitioners who are acquiring data from the people for research purposes to share their experience in managing such datasets. A focus will be on some of the best practices in making such datasets available to more people in order to encourage reuse and collaboration.
Chair: Bernard Minster (Chair, WDS Scientific Committee)
Speakers:
Chair: Paul Uhlir (National Academy of Sciences, USA)
Speakers: