AI News, Task Force finds open data's 2 biggest challenges are finding it and using it when you do find it

Task Force finds open data's 2 biggest challenges are finding it and using it when you do find it

Selection, storage, and preservation -- Outside a few relatively well-known fields, there can prevail a lack of common understanding of what data (along with associated software and documentation) should be stored, where, when and how, at different stages of the research process and thereafter Security -- Protecting against criminal activity of various kinds -- hacking, fraud, DDOS attacks and so on -- will increase in importance as the volumes of research data continue to grow, along with the sources from which it is drawn, and as the research data infrastructure grows in complexity.

The Task Force also identifies a number of areas and opportunities that could lead to positive actions to help resolve the issues it has identified and which are likely to feature in the final roadmap these include: Good Practice -- Examples of good practice in a number of fields including Genomics, astronomy and crystallography Journals taking a lead -- Concerns about reproducibility and replicability may drive editorial boards of scholarly journals to have a significant role to play here in adopting and implementing appropriate data policies.

There is also a consensus that there is a lack sufficient numbers of support staff with the appropriate skills to support researchers in managing their data effectively, and that career paths for such are not clear and need to be addressed Incentives -- There is widespread agreement on the need for carrots rather more than sticks, and data citation is often seen as a potential key incentive for researchers.

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