data-driven science - Lee Dirks - June 22 - ICSTI 2007 Nancy

Lee Dirks - Director, Scholarly Communication - Microsoft
"Open access, data-driven science & the impact on research communication"

* basic research ACTIVITY unchanged
  but output options dramatically changed
  - blogs
  - wikis
  - scholarly journals
  - IRs
  - discipkine repositories
  - podcasts

Current Issues vs. Anticipated Trends

* OA to scientific content, specifically data, will become the norm

* international cross-discipline research facilitated by interoperable standards

* "evolved" methods of peer review will be adopted

* preservation of data will become a requirement

* services develop around scientific content and prevail over pure publishing
  - data analytics, publishing workflow tools, long term storage/access

EDUCAUSE "Horizon Report" 2007 - for higher education IT in USA

* key trends
  - academic review and rewards are increasingly out of sync with new forms of scholarship
  - the notions of collective intelligence and mass amateurization are pushing the boundaries of scholarship
* critical challenges
  - assessment of new forms of work
  - isses of IP and copyright continue to affect how scholarly work is done

OA momentum

... S.2695

Blogging
- example: useful chem
- recording experiments that fail

Wikis for Sharing Lab Protocols
- example: OpenWetWare

Bookmarks
- example: Connotea

IR
- 1400+ repositories worldwide

Influence of IRs

http://www.webometrics.info/top3000.asp

The Promise of Data Sharing

PLoS article - Sharing Detailed Research Data Is Associated with Increased Citation Rate

"this is going to radically change science"

ISSUES
- data integration and interop
- annotation
- provenance & quality
- exporting/publishing in agreed formats
- security

"an aspect of competitive differentiation"

Publications as Live Documents

MS will have some results on this later this year

* helps with reproducibility if you can get to the raw data, simulations etc.

Trend: The Rise of Mass Collaboration

* Novartis released all its raw data on genetics of type 2 diabetes

[missed the end of the presentation]