Given the current mess of data handling in life science (or bioscience, as it is also called) which I described in a previous article, what should be done? Let us begin with a few words from one of the gurus:
You have to start with the customer experience and work backwards to the technology.
Steve Jobs, quoted here.
We should start by defining what the needs are. What does the scientist, the research group, want in terms of data storage and handling? What do they need in order to pursue successful life science? What other goals for data storage in Swedish science are there? How can we promote approaches to data handling that facilitate Open Science?
This text is not a final text or treatise. It’s a snapshot of my thinking on the subject. Serious policy and design specifications must of course be crafted through debate and input from various experts. There is now an initiative at the Science for Life Laboratory, where I work, to discuss these issues. I have written this as a starting point for the discussion, in the hope that it may be useful for SciLifeLab and for others.
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