[okfn-br] FYI - Lisbon Council Briefing 'Mapping TDM in Academic & Research Communities in Europe'

Carolina Rossini carolina.rossini em gmail.com
Quarta Maio 28 14:07:47 UTC 2014


---------- Forwarded message ----------
From: Herman Rucic <hrucic em n-square.eu>
Date: Wed, May 28, 2014 at 6:30 AM
Subject: [C4C] FYI - Lisbon Council Briefing 'Mapping TDM in Academic &
Research Communities in Europe'
To: c4c_list em n-square.eu


Dear C4C Signatories



We would like to inform you that the Lisbon
Council<http://www.lisboncouncil.net/>has published a special briefing
‘mapping text and data mining in academic
and research communities in Europe’ – see attached. More information
here<http://www.lisboncouncil.net/publication/publication/109-mapping-text-and-data-mining-in-academic-and-research-communities-in-europe.html>
.



In this special briefing, Associate Director Sergey
Filippov<https://www.linkedin.com/profile/view?id=741189>sets out to
map the use of text and data mining in academic and research
communities. Using a complex approach based on patent and bibliographical
analysis, supplemented by extensive field interviews, he finds that
European academics are falling behind their Asian and North American
counterparts. The Special Briefing was launched at the OECD Expert Workshop
for Knowledge-Based Capital in Paris.



The study’s key findings are – emphasis added:



1)    Text and data mining is already an important tool for making sense of
and finding value in data. The world of data is growing exponentially,
offering new insights, better analytics and deeper understanding in a
wealth of areas (including human health, analysis of traffic and migratory
patterns, climate and environmental systems and more)

2)    There has been a strong increase in recent years in the number of
publications and patents referring to text and data mining around the
world. This growth is driven mostly by US and Asia (China in particular). *US
nationals are responsible for almost half of all publications and patents
in the text and data mining field.*

By contrast, *European universities and scholars lag behind* (see Table 2
and Table 7 on pages 9 and 10 for more). As new discoveries and advances so
often build upon previous findings, this gap could widen even further.

3)    *Europe’s intellectual property regime – including copyright – may
have worked well in an economy where knowledge was stored mostly in text on
paper and analysed typically by scholars taking notes.* In the digital age,
new technologies make analysis of large volumes of text and other media
potentially routine. But this can only happen if researchers have clearly
established rights to use the relevant techniques, supported by the
necessary skills and experience. Interviews with researchers in Europe
suggest that these conditions do not exist (...).

4)    *Europe’s current weakness in this area could have long-lasting
repercussions.* If specific text and data mining techniques are protected
by patents granted overwhelmingly to third-country nationals, European
researchers may face legal obstacles when trying to advance knowledge in
this field.

5)    Europe’s academic community is aware of the growing role of data
analytics and text and data mining. In a survey conducted for this special
briefing, we found that many academics already use text and data mining at
the basic level; and *many more are considering using it in the future as
the process becomes simpler and the benefits more easily seen*.

6)    The research community itself is increasingly in favour of so-called
“open access” to scientific publications, with an increasing volume of
academic literature now published online to the reader free of charge and
free of most copyright and licensing restrictions. In turn, many academic
publishers acknowledge this growing demand; some are seeking to integrate
open access into their existing business models.

7)    The use of text and data mining differs among disciplines. Scholars
in computer science – where the techniques are most indigenous – use it the
most. Scholars in social sciences (economics, management, international
business, innovation studies, etc.) still use the methodology only
sporadically.



Have a pleasant afternoon!

Best regards



Herman



Policy Advisor @ N-square Consulting



Mobile +32 478 96 67 01

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-- 
-- 
*Carolina Rossini *
*Vice President, International Policy*
*Public Knowledge*
*http://www.publicknowledge.org/ <http://www.publicknowledge.org/>*
+ 1 6176979389 | skype: carolrossini | @carolinarossini
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