[open-science] Data Watch

[Peter Murray-Rust]

I'm obviously very supportive of DataWatch.  I think that some of our
activity may be per-journal rather than per-paper (e.g. when Neuroscience
said they no longer required suppdata). DataWatch should then challenge the
policy rather than the instance. And there may be areas where we can give
POSITIVE acclaim where a journal adopts a data pub policy.

Assuming that DataWatch takes off then it gives much more likelihood of
getting responses from editors and publishers and collating policies.



On Fri, Jun 7, 2013 at 11:05 AM, Jenny Molloy <jenny.molloy at okfn.org> wrote:

> Hi All
>
> I'm sure you're familiar with the excellent blog Retraction Watch run by
> Ivan Oransky and Adam Marcus http://retractionwatch.wordpress.com/
>
> In an blog post in 2012 [1], Jonathan Eisen suggested having a Data Watch
> site in the same vein. We discussed something similar in the Open Science
> Working Group at various times previously.
>
> We had considered using it to discuss both invalidated datasets (more like
> retraction watch) and data sharing cases where data is simply not available
> to back up published research, particularly where researchers refuse to
> share data despite agreements with funders or publishers to do so on
> request. The most well known examples recently being Reinhart-Rogoff [2]
> and (many) clinical trials [3].
>
> It would be interesting in the case of datasets found to be invalid to
> classify where the problem arose - mislabelling of columns, coding errors,
> data gaps?
>
> If you're interested in working on something like this (and the exact
> formulation of this is still very much up for discussion - all thoughts
> welcome!), then speak now and we can set up a group of founding editors :)
>
> Jenny
>
> [1]
> http://phylogenomics.blogspot.com/2012/01/draft-post-cleanup-3-open-knowledge.html
> [2]
> http://blog.okfn.org/2013/04/22/reinhart-rogoff-revisited-why-we-need-open-data-in-economics/
> [3] http://www.alltrials.net/
>
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-- 
Peter Murray-Rust
Reader in Molecular Informatics
Unilever Centre, Dep. Of Chemistry
University of Cambridge
CB2 1EW, UK
+44-1223-763069
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