[ESIP-all] Register for the Inaugural DataONE Webinar: "Open Data and Science: Towards Optimizing the Research Process"

[Amber E Budden]

Dear Community

We are pleased to announce the launch of the DataONE Webinar Series (
www.dataone.org/webinars) focussed on open science, the role of the data
lifecycle, and achieving innovative science through shared data and
ground-breaking tools.

Our series will open with a presentation and discussion led by *Dr
**Jean-Claude
Guédon *from the Université de Montréal titled:

"*Open Data and Science: Towards Optimizing the Research Process"*.

The abstract for the talk is detailed below and you may register at:
www.dataone.org/upcoming-webinar.

Webinars will be held the 2nd Tuesday of each month at 12 noon Eastern
Time.  They will be recorded and made available for viewing latter the same
day. A Q&A forum will also be available to attendees and later viewers
alike.

We welcome you to join us for this and future webinars in the series.  More
information on the DataONE Webinar Series can be found at:
www.dataone.org/webinars and we welcome suggestions for speakers and topics.

*~~~~~~~~~~~~~~~~~~*

*Open Data and Science: Towards Optimizing the Research ProcessJean-Claude
Guédon, Université de Montréal*

The shift to a digital context has transformed scientific communication
deeply. The rapid and enormous growth in computing power has also led
science itself to approach reality in new ways. Both trends stand behind
the rise of open science and open data.

The Open Access movement has already transformed the publishing of research
results: new business models, new forms of dissemination, new retrieval
tools, and new preservation strategies. It is also beginning to affect the
ways in which scientific work is being evaluated. Finally, the emergence of
open access to published articles has foregrounded the importance of
machine reading whenever vast quantities of documents have to be treated:
with it, retrieving, re-using, remixing and reorganizing knowledge can
proceed much more efficiently.

The growth in computing power amounts to an epistemological transformation
that builds upon the logical revolution initiated in classical antiquity,
and upon the experimental method which forms a crucial element of the
"Scientific Revolution". Model building is fast becoming the approach of
choice for an ever greater proportion of scientific problems. However,
model building requires easy access to large amounts of data. These data
sets must be organized, curated and made to work across laboratories and
disciplines. Issues of replicability and verifiability are at stake in this
context.

In conclusion, the computer and the Internet are transforming science in
profound ways, and open science and data testify to this fact. This double
shift is sufficiently momentous to be compared to the invention of writing
and of printing.

*Biography*
Dr. Jean-Claude Guédon holds a doctorate in the History of Science from the
University of Wisconsin, Madison and is currently a professor of
comparative literature at the Université de Montréal. He specializes in
digital culture, internet studies, and electronic publishing and is a
strong advocate of Open Access to scientific research. He has served on the
boards of numerous international organizations that support openness and
digital scholarship, including the Electronic Information for Libraries and
the Information Programme of the Open Society Foundations. He is presently
a trustee of the Nexa Center for Internet and Society studies at the
Politecnico of Turin (Italy). Well respected for his thoughtfulness and
foresight in the field of Open Access, Dr. Guédon regularly presents on
this and related topics every year.


-- 
Amber E Budden, PhD
Director for Community Engagement and Outreach
DataONE
University of New Mexico
1312 Basehart SE
Albuquerque, NM 87106

Tel: 505-814-1112
Cell: 505-205-7675
Fax: 505-246-6007
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