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.
