Hi Georg,
On 08.04.2017 09:04, g.maub...@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 reproducible research!)
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 Georg
Thanks for taking the time to reply to my question. All the best, Joe
Gesendet: Mittwoch, 29. März 2017 um 10:44 Uhr Von: "Joe Gain" <joe.g...@uni-konstanz.de> An: R-help@r-project.org Cc: bwfdm-i...@lists.kit.edu Betreff: [R] Archive format Hello, we are collecting information on the subject of research data management in German on the webplatform: www.forschungsdaten.info 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! Joe -- B 1003 Kommunikations-, Informations-, Medienzentrum (KIM) Universitaet Konstanz t: ++49-7531-883234 e: joe.g...@uni-konstanz.de ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
-- B 1003 Kommunikations-, Informations-, Medienzentrum (KIM) Universitaet Konstanz t: ++49-7531-883234 e: joe.g...@uni-konstanz.de ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
