Published: Tue 13 November 2012
C. Titus Brown
open science webmaking w4s
This is one of a bunch of posts on science and the Web.
Start here for an overview.
It's been fun to watch (and occasionally help drive) science moving
online and taking advantage of the Web. Here are some of my favorite
Simple, easy ways of sharing process abound. Github, bitbucket,
and sourceforge are, ultimately, ways to share your
process with executable code. More generally, the open source
ethos has sloooowly started to permeate academia. Huzzah.
IPython Notebook has enabled easy executable papers, and is
changing the practice of data analysis. See
diginorm and the
in particular. Open, easily reproducible pubs! In my lifetime!
BTW, is it just me, or is there extreme irony in Elsevier pushing
Physicists have been using arXiv for decades to post their papers
publicly, prior to peer review. It's
starting to catch on in some
parts of biology, too.
Haldane's Sieve is a blog started by Graham Coop and Joe Pickrell
that posts paper titles and abstracts from the q-bio section of
arXiv, with the goal of enabling comments and discussion.
on Haldane's Sieve, and the followup discussion and blog post by
Rohan, and then the follow-on arXiv post
by the original authors, is a stunning example that exemplifies
what we should be doing on every paper.
Making the scientific process more visible, one depressing story at a
Experiments in crowd funding.
Wouldn't it be nice if some science, at least, could be funded
directly by people who thought it was cool?
Ethan Perlstein did
The general increase in science blogging and tweeting by scientists.
'nuff said... right?
The rise of Open Access has been nothing short of astonishing.
Covered adequately elsewhere, though :)
I love being able to
point scientists at an AMI and say, sure, re-run my
analysis from scratch, it'll cost ya 8 bucks. Super
Mechanical turk and other cheap labor.
It's hard to know where
is going, but I bet it'll be cool.
Data archiving sites.
Isn't it nice to know that you can access
all the data? Anytime you want? A friend told me to specifically mention Dryad.
Increasingly sophisticated front ends to massive amounts of scientific data.
Being able to
explore genomes and
extract custom reports from masses of
genomic data, whenever I want, is pretty neat.
I'm sure there are whiz-bang-ier examples, but these are pretty cool 'cause
they work and they're used.
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