A minefield of data issues?

Even creating a small amount of data for my Masters project has brought home to me some of the issues around data – how to store it, where to store it, in what format to store it, how to ensure the appropriate people have access to it, how to stop people accessing it if they shouldn’t have access to it, how to future proof the storage, how to ensure the data and method used to collect it remain linked, who gets to keep it.

And that’s just for a few small plant biology experiments for my Masters. I’m sure there are many more levels of complexity for confidential data and big data. Some of these issue were discussed briefly with my Masters cohort, but it seems like that short conversation was only scratching the surface. I’m sure that as a (very) early career researcher there are a lot of things I don’t know and even more things I’m not even aware that I need to know.

 

Brightfield microscope image of Australian wild cotton (G. australe) leaf cross-section – one of the types of data from my Masters project (Photo: Belinda Fabian)

During my research break between my Masters and my PhD I’m working on up-skilling in a variety of areas; some directly related to my potential research topic(s), some which are generally related to study and/or my career (e.g. learning to code and using R) and others that just broaden my horizons (both scientifically and personally). One of the general study/career areas I’m learning about is data management through the 23 [research data] things program (see below for more information).

I see the 23 [research data] things program as helping me with generic study/career knowledge and skills and ideally it will will form part of a firm footing for me as a researcher. Awareness of the issues related to data management is important for researchers (and keeping digital data adds more concerns), but from my experience an understanding of it comes in a very piecemeal fashion during research training (as with many other things). So hopefully participating in this program will help me get out in front of the curve and make me aware of issues, solutions and strategies for managing data and where to find information down the track when the need becomes pressing.

Things you need to know:

The 23 [research data] things is a program run through ANDS (Australian National Data Service). More information can be found here. There’s an introductory webinar on tomorrow 1 March, 12.30-1.30 AEDT.

The program is free and runs from March to November 2016 (I know that sounds like a lot, but the FAQs suggest that it will only take about an hour a week and there will be breaks and catch-up opportunities during the year).

The program is advertised as being of interest to lots of different types of people – from the 23 [research data] things website: “If you are a person who cares for, and about, research data and want to fill in some gaps, learn more, find out what others are thinking… then this may be for you!” I’m getting involved as a research who will deal with data in my career, but if you’re a person who creates or cares for data then the program may be of interest to you too.

There’s a Meetup group for discussing the activities and other thoughts about the program and search #23RDThings on Twitter for all the buzz.

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