[open-science] open-science Digest, Vol 42, Issue 18

Wed Apr 4 18:23:22 UTC 2012

The Digital Curation Centre defines digital curation as "maintaining,
preserving and adding value to digital research data throughout its
lifecycle." The DCC's digital curation lifecycle model includes these
steps: conceptualise, create, access and use, appraise and select,
dispose, ingest, preservation action, reappraise, store, access and
reuse, and transform.  See http://bit.ly/9pkCTk.

The Digital Curation and Preservation Bibliography 2010 (OA PDF
available) provides coverage of the literature: http://bit.ly/hPJwm0.

Best Regards,
Charles

Charles W. Bailey, Jr.
Publisher, Digital Scholarship
http://bit.ly/Z6HFx

On Wed, Apr 4, 2012 at 12:55 PM,  <open-science-request at lists.okfn.org> wrote:
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>   1. this "data curation" of which you speak (Tom Roche)
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> ----------------------------------------------------------------------
>
> Message: 1
> Date: Wed, 04 Apr 2012 14:00:55 -0400
> From: Tom Roche <Tom_Roche at pobox.com>
> Subject: [open-science] this "data curation" of which you speak
> To: open-science at lists.okfn.org,
> Message-ID: <87zkars7fs.fsf at pobox.com>
> Content-Type: text/plain
>
>
> Jessy Kate Schingler Wed, 4 Apr 2012 09:48:13 -0700
>> having the technical solution [for developing open science] doesn't
>> mean we have a cultural solution, and at the moment, IMHO, the main
>> challenges for peer review are cultural and procedural. having
>> clear, alternative workflows for publication (eg., is it publish -->
>> review --> curate? or review --> curate --> publish? etc.),
>
> Just to nail down this term of art: I'm guessing "data curation"
> denotes "managing a data collection," no? and "curating open data"
> connotes activities like, e.g.,
>
> * securing public availability
> ** positive: ensuring public access, backup
> ** negative: preventing unauthorized modification, theft, DoS
> * enhancing public access
> ** providing identifiers (whether, e.g., DOIs or Plain Old URIs)
> ** submitting to other collections
>
> Or am I very confused? If not, I claim curation of some sort is
> required for all but the most trivial and unscalable review:
>
> Consider this narrative: I get a dataset, it looks important, I invest
> work in assimilating it, exploring it, and generating visualizations,
> I strengthen my hunch. At this point, I seek "review" or "publication"
> in at least the minimal sense of saying "hey, look @ this" to peers.
> For which I'm gonna wanna
>
> - put the data (et al) somewhere accessible yet safe
> - send pointers to peers
>
> Does that not mean, I want some data curation?
>
> Furthermore, suppose that, after that informal process, I and my
> peer consultants agree the dataset and derived products (et al) is
> good enough to "get a pub" (whether poster, article, technical report,
> whatever). Certainly I would then want the dataset curated, e.g.,
> for linking from a paper (at least, as supporting information), no?
>
> Therefore, the flow should be [curate, review, publish], because
> curation promotes review. (And IMHO "review," of which "peer-reviewed
> publication" as we know it is a ceremonial subset, is that from which
> the goodness of scientific openness flows--but that is of course a
> much stronger claim.)
>
> FWIW, Tom Roche <Tom_Roche at pobox.com>
>
>
>
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> End of open-science Digest, Vol 42, Issue 18
> ********************************************