05 June 2014

Data management bookshelf: Corti et al, Managing and Sharing Research Data: A Guide to Good Practice (2014)

I have a few books currently on my professional to-read list that I thought I would share during #blogjune. It would be even better if I could write some actual reviews of these books, but in the meantime...

Corti, Louise, Veerle Van den Eynden, Libby Bishop, and Matthew Woollard. 2014. Managing and Sharing Research Data: A Guide to Good Practice. Thousand Oaks, CA: SAGE Publications Ltd.

The UK Data Archive is one of the best resources around for data management advice and training materials. I visit their site often for inspiration, not just in terms of content but also in terms of how they communicate. Their Managing and Sharing Data: Best Practice for Researchers is one of the most comprehensive and well-written guides targeted at researchers that you will find. It is also definitely the most attractive and leaves most data management related documents, LibGuides and websites looking pretty shabby in comparison. 

I have high hopes for this new book, based on the quality of previous things produced by these authors. If the new book is similar to other products associated with the UK Data Archive, it should have a strong focus on the social sciences, which provides a nice antidote to the usual bias towards the hard sciences. I'm also expecting it to have a strong UK and European focus. In practice, this means that not all of the advice may be relevant to the Australian context, particularly in terms of research funder policy and legal and regulatory aspects (e.g. copyright legislation). At well over 200 pages though, this book must be much more than simply an expansion of the previously published guide for researchers, so hopefully there will be some interesting comparisons and contrasts for those of us in Australasia. 

There is also a great-looking companion website to the book hosted by the UK Data Archive. A comprehensive list of links is provided to learning activites, templates and data collections, broken down by the relevant chapter in the book. I can see myself spending quite a bit of time not only with this book, but also exploring the related resources.



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