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

Sridhar Gutam gutam2000 at gmail.com
Thu Sep 27 05:48:43 UTC 2012

---------- Forwarded message ----------
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>

   [image: Research
seeing this email? View in your
Research Trends]

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

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
send us an email at:
researchtrends at elsevier.com.

To download a PDF of this issue, please click

*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>


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


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>


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


Ray Harris discusses challenges of Big Data and ICSU's approach to Big Data
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


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


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*


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>

You received this email because you are signed up to our mailing list. If
you no longer wish to receive these newsletters you can unsubscribe

This email has been sent to gutam2000 at gmail.com from Elsevier Academic &
Government Marketing Communications, Radarweg 29, 1043 NX Amsterdam,
Netherlands, Registration Number: 33156677.

You are receiving this email because you are a subscriber to Research
Trends. To ensure delivery to your inbox (not bulk or junk folders), please add
*ResearchTrends at mail.elsevier-alerts.com*<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qN9S513F/uYRLJT2F/x6PH3T3F/cutf%2D8>to
your safe senders list.

If you no longer wish to receive the Research Trends newsletter from
Elsevier Academic & Government Marketing Communications, please unsubscribe

Copyright © 2012
All rights reserved. Read the Elsevier
Privacy Policy<http://mail.elsevier-alerts.com/go.asp?/bECU001/mOIUCT3F/qVUP6I3F/uYRLJT2F/x6PH3T3F/cutf%2D8>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.okfn.org/pipermail/okfn-in/attachments/20120927/42376cfc/attachment.html>

More information about the okfn-in mailing list