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Subject: CFP: (SBD 2014) IEEE Big Data Workshop on Challenges & Issues on Scholarly Big Data Discovery and Collaboration
From: yu-ru lin <[log in to unmask]>
Reply-To:yu-ru lin <[log in to unmask]>
Date:Mon, 11 Aug 2014 08:47:27 -0400
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*****  To join INSNA, visit http://www.insna.org  *****

CALL FOR PAPERS
--------------------------------------------------------------
IEEE Big Data Workshop on Challenges & Issues on Scholarly Big Data
Discovery and Collaboration (SBD 2014)
http://crystal.exp.sis.pitt.edu/SBD14/
to be held on October 27, 2014, Washington DC in conjunction with IEEE
Big Data Conference
--------------------------------------------------------------

## Important Dates ##
** Submission Deadline: September 5, 2014
** Notification of Acceptance: September 20, 2014
** Camera-ready Due: October 5, 2014
** Workshop date: October 27, 2014

## Workshop Organizers (ordered by last name) ##
Cornelia Caragea, University of North Texas, USA, [log in to unmask]
Ingemar J. Cox, University of Copenhagen, Denmark, [log in to unmask]
Sujatha Das G. Institute for Infocomm Research, A*STAR, Singapore,
[log in to unmask]
C. Lee Giles, Pennsylvania State University, USA, [log in to unmask]
Daqing He, University of Pittsburgh, USA, [log in to unmask]
Madian Khabsa, Pennsylvania State University, USA, [log in to unmask]
Yu-Ru Lin, University of Pittsburgh, USA, [log in to unmask]
Christina Lioma, University of Copenhagen, Denmark, [log in to unmask]
Natasa Milic-Frayling, Microsoft Research Cambridge, UK, [log in to unmask]

## Workshop Theme & Topics ##
Academics and researchers worldwide continue to produce large numbers
of scholarly documents including papers, books, technical reports,
etc. and associated data such as tutorials, proposals, lab note books,
and course materials. The abundance of data sources enables
researchers to study scholarly collaboration at a very large scale.
The ever increasing diversity of disciplines and complexity of
research problems, particularly multi-disciplinary research, requires
collaboration. Besides the traditional venues of collaboration where
scholars typically meet annually at conferences or meetings, the
Internet provides a wide range of platforms for scholars to engage
with other scholars. These new platforms include academic sites such
as Academia.edu, ResearchGate and Mendeley, more interactive social
sites such as Twitter and Facebook, and Wiki-style virtual
collaboration sites. These services allow scholars to share academic
resources, exchange opinions, follow each other’s research, keep up
with current research trends, and build their professional networks.

Researchers increasingly realize that scholarly achievements should
not merely be the final published articles. The datasets used in this
study and many other intermediary results are equally important for
supporting research. Therefore, a set of rapidly developing research
topics, research data management, data curation/stewardship, data
sharing policy, etc. are becoming important issues for research
communities. The workshop aims at bringing together researchers with
diverse interdisciplinary backgrounds interested in scholarly big
data.

The topics of interest include, but are not limited to:
* Access and Analytical tools for studying scholarly discovery and
collaboration.
  - New approaches to measuring the impact of research funding and
publications as well as the impact of researchers in a particular
fields of study.
  - Searching and mining the Web, large digital libraries,
repositories for scholarly publications and patents and linking to
other data sources such as papers, funded proposals and patents.
  - Novel data search and mining tools for studying scholarly
collaboration using big data, including big graph mining frameworks
such as GraphX, etc.
  - Data infrastructure that supports scalable computation, e.g.,
document indexing with Hadoop and MapReduce
  - Algorithms for accessing, extracting and recommending scholar
articles, experts and findings
* Online platforms for scholarly discovery and collaboration.
  - Presenting open-access, novel datasets (e.g., based on Wikipedia,
DBpedia, United States Census Bureau data, Patent data, etc.) that can
be linked to entities, and can help researchers develop novel
technologies for analyzing scientific publications.
  - The types of collaborations scholars engage in using online and
social platforms
  - Support for scholarly discovery and collaboration
*  Data curation and management for scholarly discovery and collaboration.
  - Data curation/management
  - Existing practices for managing research data
  - Research reproducibility and data sharing policy
* Integration of all aspects of scholarly discovery and collaboration
  - Design of next generation collaboration platforms
  - Information professionals’ role in engaging in online scholarly
collaboration.
  - Community acceptance and evaluation of activities in online
scholarly collaboration
  - Privacy and security issues in online scholarly collaboration

## Submission ##
We invite submissions on both theoretical results and practical
applications related to these topics. We encourage submissions which
present early stages of cutting-edge research and development.

Submitted manuscripts should closely reflect the final papers as they
will appear in the Proceedings, and should not exceed the following
page length in two-column IEEE proceeding format. We accept two
submission formats:
* Full research papers (up to 8 pages)
* Short research papers (up to 4 pages)
All papers are refereed through a single blind process. All papers
must be submitted online:
https://www.easychair.org/conferences/?conf=sbd2014

Contact: [log in to unmask]

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