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%
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 a
On 29.03.2017 17:36, Jeff Newmiller wrote:
The relevance to R (and therefore R-help) of this question is marginal at best.
R might not be the language of choice when you go retrieve the data.
Also, this question seems dangerously close to a troll, because the obvious
answer is that the data sh
The relevance to R (and therefore R-help) of this question is marginal at best.
R might not be the language of choice when you go retrieve the data.
Also, this question seems dangerously close to a troll, because the obvious
answer is that the data should be in an open format but if you are not
Dear Joe,
I'd choose a plain text format. They can be read and parsed with a
very wide range of software. That is IMHO a much more important factor
for long term archivation that file size or the ease to read it with
specific software.
The choice between tab-delimited, comma separated values, XML
Joe:
1. This may be the wrong forum for this question, as this list is
about R programming issues. However, I don't know what the right forum
should be. You might consider stats.stackexchange.com. Some IT forum
might be better (but which???)
2. A google search on "data formats for archiving" (or
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