[Taxacom] Showing the importance of natural history collections
and the networks they are building
Lyubomir Penev
lyubo.penev at gmail.com
Sat Apr 26 09:06:58 CDT 2014
2014
David,
The Data Publishing Working Group of the Research Data Alliance (RDA) has
as its priority task and deliverable a prototype of centralized
cross-referencing service between articles and data cited/used in them
(understand between CrossRef and DataCite DOIs). The prototype should be
launched within a year.
Cheers,
Lyubomir
On Thu, Apr 24, 2014 at 11:04 PM, Shorthouse, David <
david.shorthouse at umontreal.ca> wrote:
> All,
>
> We (Canadensys) have been assigning DataCite DOIs to occurrence and
> checklist datasets in our Integrated Publishing Toolkit though an
> agreement with DataCite Canada (eg
> http://dx.doi.org/10.5886/998dbs2a). DataCite's recommendation to
> handle versioning is to mint new DOIs and use its metadata schema to
> point to previous versions of published datasets. Though they are
> DOIs, they are not CrossRef DOIs. In other words, even if they were
> cited in the primary literature (CrossRef's ballpark), I have not
> (yet) seen any evidence of functional connections between CrossRef &
> DataCite for the service we all want: "show me papers that have cited
> my dataset". DataCite and CrossRef need to share each others' data
> hopefully without drastic changes to the metadata schema depositors
> must adhere to. I would love to have a box on the Canadensys IPT
> equivalent to CrossRef's Cited-By Linking that would link out to
> papers that have cited hosted datasets. This is obviously a common
> request so I have every expectation that CrossRef and DataCite will
> get it right. Heavy-hitting organizations like Dryad also mint their
> DOIs via DataCite.
>
> David P. Shorthouse
> Biodiversity Informatics Manager, Canadensys
> http://www.canadensys.net
>
> On Thu, Apr 24, 2014 at 3:19 PM, Roderic Page
> <Roderic.Page at glasgow.ac.uk> wrote:
> > Surely we can learn from past mistakes and do this properly. Citations
> are meaningless unless they are counted, and the way to do this efficiently
> is with identifiers such as DOIs, not developing some arbitrary way of
> citing databases or datasets. Mint DOIs for collections, mint DOIs for
> datasets (GBIF is heading down this route), make data a first class citizen
> by making it trivially easy to cite. Don't moan about people not citing
> data if you haven't made it easy for them to do so. If you value your data,
> make it easy to cite - give it a DOI.
> >
> > Regards
> >
> > Rod
>
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>
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Dr. Lyubomir Penev
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