25. • for whom are we doing research and
building our research infrastructure?
• what do we want our next generation
infrastructure to look like?
• what should be the role of scholarly
societies? of commercial publishers?
how important is it to preserve current
business models?
28. • what may we do with a scientific paper?
we can read it with our eyes. May we read
it with our computers? Often against
subscription terms of use, and in some
countries it has been against copyright.
• who can analyze it? for what purposes?
after how many hoops? using what
standards? through what interfaces?
39. << Journal >> requires,
as a condition for publication,
that data supporting the results in the
paper should be archived in an
appropriate public archive...
40.
41.
42.
43.
44.
45.
46.
47. 1. Public Access to papers
2. Papers as Data
3. Dataset Archiving
52. • I’ll cover the first two changes quickly,
then spend a bit more time on
Data Archiving because that’s where I think
ievobio is in the most unique position,
plus I have some fresh-off-the-presses
data to share with you!
54. • Real evolution papers out where the
public can read them: help the public
learn what real science looks like.
55. • Openly available data that is described
only in a subscription-based
publication is a problem.
56. • ievobio community includes strong
societies and great OA advocates.
So what should the journal of the future
look like?
How should it be funded?
Who should own the work?
How would you like to be able to build on
it?
• You are the right place!
58. • Tracking and valuing attribution to
datasets as suggested through JDAP
requires papers as data
59. • Easier and less expensive dataset
curation? Metadata suggestions from
full text requires full text mining.
60. • iEvoBio attendees have the programming
chops and the informatics mindset to
understand the potential and inform the
infrastructure.
• You are great people to champion and
contribute to these changes.
64. • this means the Evolution and Ecology
communities have cutting edge
experience with some of the
problems, and are well poised to start
considering solutions.
65. Study of attitudes, experiences
- online questionnaire
- corresponding authors
- 40 journals
- 3 years
Data collection ongoing...
this is a sneak peak!
86. • figure out what bugs you
• learn. blog while you learn. learning lunches.
• discuss, write, speak, blog, tweet.
• colleagues, coauthors, students,
journals, conference organizers
• build something.
• make principled choices. Stand up for them.
98. We bleed for each data point.
Why would we hand that all over
for someone who never sets foot
in the field and then publishes
our work at our expense?
99. I am worried about a rise in
"data vultures" or "arm-chair
field ecologists"
100. Data took 3 years to collect and
compile.
If someone wants this type of
data, they should go out and
collect their own.
101. I'm supposed to be happy to see my
data in someone else's publication
because they cited me? Please...
123. • started at a hackathon 2 years ago
• this month:
• $500k from Sloan, over two years
• invited to submit NSF EAGER to track
software reuse
• invited to the White House!
148. thank you!
Jason Priem: cofounder of ImpactStory
Also: ToddVision, NESCent, Mike Whitlock,
the open science community, and those who
release their articles, datasets and photos
openly.
heather @ impactstory.org
149. survival of the fittest
diversity
adaptation
competitive
advantage