[R] Archive format
joe.gain at uni-konstanz.de
Mon Apr 10 10:15:29 CEST 2017
On 08.04.2017 09:04, G.Maubach at gmx.de wrote:
> Hi Joe,
> I have read your question with great interest. I am a little bit astonished to read about your project. There is a big national institute in Germany called GESIS (https://de.wikipedia.org/wiki/GESIS_%E2%80%93_Leibniz-Institut_f%C3%BCr_Sozialwissenschaften) which does the same job you are trying to set-up since 1986 now. You could try to exchange ideas with them.
we've already had some contact with GESIS. I agree that it would be a
good idea to communicate and cooperate more with GESIS-- although there
are many interesting organisations, which are all doing their own thing
and it's not always easy to do so.
We organised a confernce in Heidelberg, "The E-Science Tage", and I was
at the GESIS presentation, which was very good.
> Your subject is very complex with regard to reproducible research. You might want to have a look at
> (1) https://cran.r-project.org/web/views/ReproducibleResearch.html
> (2) Gandrud, Christopher: Reproducible Research with R and R Studio (https://www.amazon.com/Reproducible-Research-Studio-Second-Chapman/dp/1498715370)
Thanks for the useful links. (There's a whole book about R and
The general goal of the web platform is to increase the awareness of
researchers in Research Data Management.
The topic _is_ very complicated and it's difficult to write a general
approach, especially, when you consider the different research
disciplines, etc. nevertheless, that is what we are trying to do. Where
it's possible and when the information becomes to specific we will
include links to further resources (such as those, you have recommended
above). Also, the project is to some extent dependent on the feedback of
users, especially when they are able to provide us with information,
which improves the content of the web platform.
> Kind regards
Thanks for taking the time to reply to my question.
All the best,
>> Gesendet: Mittwoch, 29. März 2017 um 10:44 Uhr
>> Von: "Joe Gain" <joe.gain at uni-konstanz.de>
>> An: R-help at r-project.org
>> Cc: bwfdm-info at lists.kit.edu
>> Betreff: [R] Archive format
>> we are collecting information on the subject of research data management
>> in German on the webplatform:
>> One of the topics, which we are writing about, is how to *archive* data.
>> Unfortunately, none of us in the project is an expert with respect to R
>> and so I would like to ask the list, what they recommend? A related
>> question is to do with the sharing of data. We have already asked some
>> academics, who have basically replied that they don't really know other
>> than to strongly recommend a plain text format.
>> We would also like to know, if members of the list recommend converting
>> formats from commercial software such as S-Plus, Terr, SPSS etc. to an
>> R-compatible format for long term archivation? Are there any general
>> rules and best practices, when it comes to archiving (and sharing)
>> statistical data and statistical programs?
>> Any comments would be much appreciated!
>> B 1003
>> Kommunikations-, Informations-, Medienzentrum (KIM)
>> Universitaet Konstanz
>> t: ++49-7531-883234
>> e: joe.gain at uni-konstanz.de
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
Kommunikations-, Informations-, Medienzentrum (KIM)
e: joe.gain at uni-konstanz.de
More information about the R-help