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Yannick Pouliot
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Very good advice. In my experience, the vast majority of academic scientific code fails miserably with respect to ...

Write programs for people, not computers.
Use the computer to record history.
Use version control.
Document design and purpose, not mechanics.

As for "Collaborate", I don't know of an instance or pair programming ...
Best Practices for Scientific Computing

For those, like me, that weren't born developers, here there are 10 principles to be better at scientific programming.
"Write programs for people, not computers"

http://andreacirilloblog.wordpress.com/2014/11/05/best-pratice-for-scientific-computing/

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Important work

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A very nice analysis of a nasty problem, namely, how to encode laboratory protocols in a way that promotes experimental replication and metadata exchange by transmogrifying protocols into computable objects.

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Hilarious!
Enjoy the day

beeing different isn't a bad thing. different is just different.

http://goo.gl/iEnpIh
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Geek friends, anybody using/looking at SciDB, the latest from the fertile mind of Michael Stonebraker?

http://escience.washington.edu/get-help-now/introduction-scidb

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Interesting work that address the nasty problem of uniquely identifying data, e.g., from a publication to the dataset as deposited in a repository.
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