Keynote presentations on the emergence of data driven science & scholarship - Introduction by Bill Arms
Alex Szalay (Johns Hopkins University)

Workshop overview: structure, approach, output, and follow-up; today’s sessions are all plenary, each will include a 30-minute panel presentation on the session’s topic and a 30 minute moderated discussion among all workshop participants to consider the visionary potential and to identify challenges to realizing that potential.

Ron Larsen & Bill Arms

(Ellis)

Exploring the philosophical and technological foundations of data-driven scholarship.

Topic 1: Data-driven scholarship

Is data-driven scholarship becoming a legitimate, new scientific paradigm, ranking with theory, experimentation, and computational science? What is the nature of this paradigm and what does it imply for repositories in the future?

Panelists: Fran Berman, Greg Crane, Matthew Dovey
Moderator: Howard Wactlar

Topic 2: Scale and Complexity

Data-driven scholarship is technically difficult, involving collections that are huge by any standards, and exhibiting complex internal structure.  Strategies are required to reconcile the conflicting challenges of scale and complexity in order to address research questions that cannot be known in advance.  Automation is needed, but how far can it go toward addressing these challenges?

Panelists: Peter Murray Rust, Mark Kornbluh, Abby Smith
Moderator: Carl Lagoze

Sociological and practical considerations of data-driven scholarship

Keynote - Jürgen Renn (Max Planck Institute), introduced by Bill Arms

(Ellis)

Topic 3: Organizations

Collaboration, cooperation, and standards are needed to exploit heterogeneous sources of data, but the difficulties of cooperation are often overlooked, leading to benefits that fall short of expectations.  The required organizational expertise is typically incidental to the mission of organizations who have developed such capacity.  What is the role of these organizations in data-driven scholarship, and how might they adapt?  If new hybrid organizations are needed, what is the role of government agencies, such as the NSF and JISC, in stimulating such developments?

Panelists: Brian Schottlaender, Sheila Anderson, Ken Hamma
Moderator: Eric Van de Velde

Topic 4: Individuals

What are the enabling conditions, both human and technical for wide adoption by individuals? Large-scale developments in data-driven science and scholarship depend on the enthusiasm of individuals.  Recent years have seen rapid changes in the behavior of researchers in some matters (e.g., the dissemination of research papers and data from personal web sites), and strong resistance to change in others (e.g., conservatism in publishing practices, low contributions to institutional repositories).  What are the barriers and incentives to change and how can the NSF and JISC influence them?

Panelists: Ian Dolphin, Laura Campbell, David Rosenthal
Moderator: Mark Liberman

Topic 5: Scholarly Communications

The changing world of scholarly communication extends far beyond electronic publications and academic repositories.  Assuming continuing advances in cyberinfrastructure, what are the best ways to disseminate the results of data driven science and scholarship?  How can very large data sets be made readily available and usable to other researchers?  How can traditions of peer review be reconciled with pre-publication over the Web?  How do concepts of public good and sustainability fit with the practicalities of research? What does a “transformation of scholarly communication” look like and what does it deliver?

Panelists: Don Waters, Malcolm Read, Bas Cordewener
Moderator: Sayeed Choudhury

Summary integrated review of topical discussions, informed by yesterday’s panel discussions and interpreted in the context of the break-out groups and their charges; from different perspectives, five break-out groups will independently explore and develop a 10-year vision statement and identify the major components and milestones that comprise a roadmap to achieving their vision; the emergent five perspectives will reflect complementary sets of issues that, taken together, are critical to long-term evolution toward data-driven scholarship; these could include, for example:

• Evolving the role of trusted institutions and understanding the necessary organizational transformations
• Developing appropriate economic models and anticipating sociological issues
• Advancing the technological foundations, software, and services leading to cyberinfrastructure for data-driven science & scholarship

Bill Arms & Ron Larsen

(Ellis)

Break-out sessions (5 parallel sessions)

Break-out group facilitators:
Data Driven Scholarship – Howard Wactlar (Russel A)
Scale and Complexity – Brian Schottlaender (Russel C)
Organizations – Ian Dolphin (Suite 322/group a)
Individuals – Norman Wiseman (Suite 322/group b)
Scholarly Communications – Don Waters (Ellis)

Break-out sessions continue   (5 parallel sessions)

Report from each break-out group (10 minutes each) plus 5 minutes of Q&A discussion following each group report (recorded).

(Ellis)

Plenary integration of vision concepts and roadmaps for a 10-year program of research, development, and deployment of cyberinfrastructure for data-driven science and scholarship (recorded).

Ron Larsen & Bill Arms

Plenary review, refinement, and reflection, led by agency sponsors (recorded).

NSF – Steve Griffin
JISC – Malcolm Read