[OKFN-IN] Fwd: Research Trends 30: Special Issue on Big Data

Thu Sep 27 05:48:43 UTC 2012

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From: Research Trends Editorial Team <
ResearchTrends at mail.elsevier-alerts.com>
Date: 26 September 2012 18:38
Subject: Research Trends 30: Special Issue on Big Data
To: "gutam2000 at gmail.com" <gutam2000 at gmail.com>

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Issue 30 - September 2012

*Research Trends Issue 30: Special Issue on Big Data*

Research Trends is proud to present this Special Issue on the topic of Big
Data. Big Data refers to various forms of large information sets that
require special computational platforms in order to be analyzed. This issue
looks at the topic of Big Data from different perspectives: grants, funding
and science policy; data and computational infrastructure; arts and
humanities, and bibliometrics.

Prominent researchers from different institutions and disciplines have been
invited to write about the use of Big Data and analytics in their work,
providing us with examples of tools, platforms and models of decision
making processes. The Special Issue opens with an overview by Gali Halevi
and Henk Moed exploring the evolution of Big Data as a scientific topic of
investigation in an article that frames the topic within the peer reviewed
literature.

We hope you enjoy this Special Issue -- please do share your thoughts and
feedback with us!  You can do this in the comments section following each
article on our website
www.researchtrends.com<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qFILLT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>or
send us an email at:
researchtrends at elsevier.com.

To download a PDF of this issue, please click
here<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/q6IL3T3F/uYRLJT2F/x6PH3T3F/cutf%2D8>
.

*Kind regards,
* Gali Halevi

*The Evolution of Big Data as a Research and Scientific Topic: Overview of
the Literature*<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qO0LLT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qF0L3T3F/uYRLJT2F/x6PH3T3F/cutf%2D8><http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qXICLT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

In this overview Gali Halevi and Henk Moed explore the evolution of Big
Data as a scientific topic of investigation and frame the topic within the
peer reviewed literature.
Read more<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qOIC3T3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

Big Data: Science Metrics and the black box of Science
Policy<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/q69CLT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qX0C3T3F/uYRLJT2F/x6PH3T3F/cutf%2D8><http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qFR3LT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

Julia Lane illustrates how Big Datasets should be used to inform funding
and science policy decisions.
Read more<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/q6R33T3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

Guiding Investments in Research: Using Data to Develop Science Funding
Programs and Policies<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qO93LT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qF933T3F/uYRLJT2F/x6PH3T3F/cutf%2D8><http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qXRUCT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

Norman Braveman demonstrates how sophisticated text mining technologies can
be used to analyze Big Data.
Read more<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qFIUUT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

International Council for Science (ICSU) and the Challenges of Big Data in
Science<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/q6IUCT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qO0UUT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

Ray Harris discusses challenges of Big Data and ICSU's approach to Big Data
analytics.
Read more<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qF0UCT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

Computational and Data Science, Infrastructure, and Interdisciplinary
Research on University Campuses: Experiences and Lessons from the Center
for Computation and Technology

<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qXILUT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

Daniel Katz and Gabrielle Allen demonstrate the use of Big Data analytics
at university level.
Read more<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qOILCT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

A Big Data Approach to the Humanities, Arts, and Social Sciences:
Wikipedia's View of the World through Supercomputing

<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/q69LUT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

Kalev Leetaru shares an innovative way to analyze Wikipedia's view of world
history using a Big Data approach to historical research.
Read more<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qGRU3T3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

Part 1: Background

This part of the article describes the project background, purpose and some
of the challenges of data collection.
Read more<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qY9ULT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

Part 2: Data processing and Analytical methodologies

The methods by which the Wikipedia data was stored, processed, and analysed
are presented in this part of the article.
Read more<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qP9U3T3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

Part 3: Data analytics and Visualization

This part of the article describes the analytical methodologies and
visualization of knowledge extracted from the Wikipedia data.
Read more<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/q70ULT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

*The use of Big Datasets in bibliometric research*

<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qYRL3T3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

In this article Henk Moed illustrates how usage, citations, full text,
indexing and other large bibliographic datasets can be combined and
analyzed to follow scientific trends.
Read more<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qGILLT3F/uYRLJT2F/x6PH3T3F/cutf%2D8>

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