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

From: Carolina Rossini <carolina.rossini AT gmail.com>
Date: Wed, 28 May 2014 10:07:09 -0400


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---------- Forwarded message ----------
From: Herman Rucic <hrucic AT 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 AT 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
=E2=80=98mapping text and data mining in academic
and research communities in Europe=E2=80=99 =E2=80=93 see attached. More in=
formation
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=3D741189>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=E2=80=99s key findings are =E2=80=93 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=E2=80=99s intellectual property regime =E2=80=93 including co=
pyright =E2=80=93 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=E2=80=99s current weakness in this area could have long-lasti=
ng
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=E2=80=99s academic community is aware of the growing role of d=
ata
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
=E2=80=9Copen access=E2=80=9D to scientific publications, with an increasin=
g 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 =E2=80=93 where the techniques are most indigenous =E2=
=80=93 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  AT  N-square Consulting



Mobile +32 478 96 67 01

_______________________________________________
C4C_List mailing list
C4C_List AT n-square.eu
http://n-square.eu/mailman/listinfo/c4c_list_n-square.eu




--=20
--=20
*Carolina Rossini *
*Vice President, International Policy*
*Public Knowledge*
*http://www.publicknowledge.org/ <http://www.publicknowledge.org/>*
+ 1 6176979389 | skype: carolrossini |  AT carolinarossini

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<div dir=3D"ltr"><br><br><div 
class=3D"gmail_quote">---------- Forwarded me=
ssage ----------<br>From: <b 
class=3D"gmail_sendername">Herman Rucic</b> <s=
pan dir=3D"ltr">&lt;<a href=3D"mailto:hrucic AT 
n-square.eu">hrucic AT n-square.e=
u</a>&gt;</span><br>
Date: Wed, May 28, 2014 at 6:30 AM<br>Subject: [C4C] FYI - Lisbon Council 
B=
riefing &#39;Mapping TDM in Academic &amp; Research Communities in 
Europe&#=
39;<br>To: <a href=3D"mailto:c4c_list AT 
n-square.eu">c4c_list AT n-square.eu</a>=
<br>
<br><br><div lang=3D"EN-GB" link=3D"blue" 
vlink=3D"purple"><div><p class=3D=
"MsoNormal" style=3D"text-align:justify">Dear C4C 
Signatories<u></u><u></u>=
</p><p class=3D"MsoNormal" 
style=3D"text-align:justify"><u></u>=C2=A0<u></u=
></p><p class=3D"MsoNormal" 
style=3D"text-align:justify">
We would like to inform you that the <a 
href=3D"http://www.lisboncouncil.ne=
t/" target=3D"_blank">Lisbon Council</a> has published 
a special briefing =
=E2=80=98mapping text and data mining in academic and research communities =
in Europe=E2=80=99 =E2=80=93 see attached. More information <a 
href=3D"http=
://www.lisboncouncil.net/publication/publication/109-mapping-text-and-data-=
mining-in-academic-and-research-communities-in-europe.html" 
target=3D"_blan=
k">here</a>.<u></u><u></u></p>
<p class=3D"MsoNormal" 
style=3D"text-align:justify"><u></u>=C2=A0<u></u></p=
><p class=3D"MsoNormal" 
style=3D"text-align:justify">In this special briefi=
ng, Associate Director <a 
href=3D"https://www.linkedin.com/profile/view?id=
=3D741189" target=3D"_blank">Sergey Filippov</a> 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 ext=
ensive field interviews, he finds that European academics are falling behin=
d their Asian and North American counterparts. The Special Briefing was lau=
nched at the OECD Expert Workshop for Knowledge-Based Capital in 
Paris.<u><=
/u><u></u></p>
<p class=3D"MsoNormal" 
style=3D"text-align:justify"><u></u>=C2=A0<u></u></p=
><p class=3D"MsoNormal" 
style=3D"text-align:justify">The study=E2=80=99s ke=
y findings are =E2=80=93 emphasis 
added:<u></u><u></u></p><p 
class=3D"MsoNo=
rmal" style=3D"text-align:justify">
<u></u>=C2=A0<u></u></p><p 
style=3D"margin-right:0cm;margin-bottom:6.0pt;ma=
rgin-left:28.4pt;text-align:justify"><u></u><span>1)<span style=3D"font:7.0=
pt &quot;Times New Roman&quot;">=C2=A0=C2=A0=C2=A0 
</span></span><u></u>Tex=
t and data mining is already an important tool for making sense of and find=
ing 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)<u></u><u></u></p>
<p 
style=3D"margin-right:0cm;margin-bottom:6.0pt;margin-left:28.4pt;text-al=
ign:justify"><u></u><span>2)<span 
style=3D"font:7.0pt &quot;Times New Roman=
&quot;">=C2=A0=C2=A0=C2=A0 
</span></span><u></u>There has been a strong inc=
rease in recent years in the number of publications and patents referring t=
o text and data mining around the world. This growth is driven mostly by US=
 and Asia (China in particular). <b>US nationals are responsible for 
almost=
 half of all publications and patents in the text and data mining field.</b=
><u></u><u></u></p>
<p 
style=3D"margin-right:0cm;margin-bottom:6.0pt;margin-left:28.4pt;text-al=
ign:justify">By contrast, <b>European universities and scholars 
lag behind<=
/b> (see Table 2 and Table 7 on pages 9 and 10 for more). As new discoverie=
s and advances so often build upon previous findings, this gap could widen =
even further.<u></u><u></u></p>
<p 
style=3D"margin-right:0cm;margin-bottom:6.0pt;margin-left:28.4pt;text-al=
ign:justify"><u></u><span>3)<span 
style=3D"font:7.0pt &quot;Times New Roman=
&quot;">=C2=A0=C2=A0=C2=A0 
</span></span><u></u><b>Europe=E2=80=99s intelle=
ctual property regime =E2=80=93 including copyright =E2=80=93 may have work=
ed well in an economy where knowledge was stored mostly in text on paper an=
d analysed typically by scholars taking notes.</b> In the digital age, 
new =
technologies make analysis of large volumes of text and other media potenti=
ally routine. But this can only happen if researchers have clearly establis=
hed rights to use the relevant techniques, supported by the necessary skill=
s and experience. Interviews with researchers in Europe suggest that these =
conditions do not exist (...).<u></u><u></u></p>
<p 
style=3D"margin-right:0cm;margin-bottom:6.0pt;margin-left:28.4pt;text-al=
ign:justify"><u></u><span>4)<span 
style=3D"font:7.0pt &quot;Times New Roman=
&quot;">=C2=A0=C2=A0=C2=A0 
</span></span><u></u><b>Europe=E2=80=99s current=
 weakness in this area could have long-lasting repercussions.</b> If 
specif=
ic text and data mining techniques are protected by patents granted overwhe=
lmingly to third-country nationals, European researchers may face legal obs=
tacles when trying to advance knowledge in this 
field.<u></u><u></u></p>
<p 
style=3D"margin-right:0cm;margin-bottom:6.0pt;margin-left:28.4pt;text-al=
ign:justify"><u></u><span>5)<span 
style=3D"font:7.0pt &quot;Times New Roman=
&quot;">=C2=A0=C2=A0=C2=A0 
</span></span><u></u>Europe=E2=80=99s academic c=
ommunity is aware of the growing role of data analytics and text and data m=
ining. In a survey conducted for this special briefing, we found that many =
academics already use text and data mining at the basic level; and 
<b>many =
more are considering using it in the future as the process becomes simpler =
and the benefits more easily 
seen</b>.<u></u><u></u></p>
<p 
style=3D"margin-right:0cm;margin-bottom:6.0pt;margin-left:28.4pt;text-al=
ign:justify"><u></u><span>6)<span 
style=3D"font:7.0pt &quot;Times New Roman=
&quot;">=C2=A0=C2=A0=C2=A0 
</span></span><u></u>The research community itse=
lf is increasingly in favour of so-called =E2=80=9Copen access=E2=80=9D to =
scientific publications, with an increasing volume of academic literature n=
ow 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 e=
xisting business models.<u></u><u></u></p>
<p 
style=3D"margin-left:28.4pt;text-align:justify"><u></u><span>7)<span sty=
le=3D"font:7.0pt &quot;Times New 
Roman&quot;">=C2=A0=C2=A0=C2=A0 </span></s=
pan><u></u>The use of text and data mining differs among 
disciplines. Schol=
ars in computer science =E2=80=93 where the techniques are most indigenous =
=E2=80=93 use it the most. Scholars in social sciences (economics, manageme=
nt, international business, innovation studies, etc.) still use the methodo=
logy only sporadically.<u></u><u></u></p>
<p class=3D"MsoNormal" 
style=3D"text-align:justify"><u></u>=C2=A0<u></u></p=
><p class=3D"MsoNormal" 
style=3D"text-align:justify">Have a pleasant aftern=
oon!<u></u><u></u></p><p 
class=3D"MsoNormal" style=3D"text-align:justify"><=
span lang=3D"EN-US" 
style=3D"font-size:9.0pt;font-family:&quot;Verdana&quot=
;,&quot;sans-serif&quot;">Best 
regards<u></u><u></u></span></p>
<p class=3D"MsoNormal" 
style=3D"text-align:justify"><span lang=3D"EN-US" st=
yle=3D"font-size:9.0pt;font-family:&quot;Verdana&quot;,&quot;sans-serif&quo=
t;"><u></u>=C2=A0<u></u></span></p><p class=3D"MsoNormal" style=3D"text-ali=
gn:justify"><span 
style=3D"font-size:9.0pt;font-family:&quot;Verdana&quot;,=
&quot;sans-serif&quot;">Herman<u></u><u></u></span></p>
<p class=3D"MsoNormal" 
style=3D"text-align:justify"><span style=3D"font-siz=
e:9.0pt;font-family:&quot;Verdana&quot;,&quot;sans-serif&quot;"><u></u>=C2=
=A0<u></u></span></p><p 
class=3D"MsoNormal" style=3D"text-align:justify"><s=
pan 
style=3D"font-size:9.0pt;font-family:&quot;Verdana&quot;,&quot;sans-ser=
if&quot;">Policy Advisor  AT  N-square 
Consulting<u></u><u></u></span></p>
<p class=3D"MsoNormal" 
style=3D"text-align:justify"><span style=3D"font-siz=
e:9.0pt;font-family:&quot;Verdana&quot;,&quot;sans-serif&quot;">=C2=A0=C2=
=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 
<u></u><u></u></s=
pan></p><p class=3D"MsoNormal" 
style=3D"text-align:justify"><span lang=3D"I=
T" 
style=3D"font-size:9.0pt;font-family:&quot;Verdana&quot;,&quot;sans-seri=
f&quot;">Mobile <a 
href=3D"tel:%2B32%20478%2096%2067%2001" value=3D"+324789=
66701" target=3D"_blank">+32 478 96 67 
01</a></span><span lang=3D"IT"><u></=
u><u></u></span></p>
</div></div><br>_______________________________________________<br>
C4C_List mailing list<br>
<a href=3D"mailto:C4C_List AT n-square.eu">C4C_List AT 
n-square.eu</a><br>
<a 
href=3D"http://n-square.eu/mailman/listinfo/c4c_list_n-square.eu" 
target=
=3D"_blank">http://n-square.eu/mailman/listinfo/c4c_list_n-square.eu</a><br=
>
<br></div><br><br 
clear=3D"all"><div><br></div>-- 
<br><div dir=3D"ltr"><div=
><div 
style=3D"font-family:arial,sans-serif;font-size:12.666666984558105px;=
background-color:rgb(255,255,255)"><span 
style=3D"font-family:arial;font-si=
ze:small">--=C2=A0</span><br 
style=3D"font-family:arial;font-size:small">
<div dir=3D"ltr" 
style=3D"font-family:arial;font-size:small"><div 
style=3D"=
font-family:arial,sans-serif;font-size:12.666666984558105px"><i>Carolina Ro=
ssini=C2=A0</i></div><div 
style=3D"font-family:arial,sans-serif;font-size:1=
2.666666984558105px">
<font color=3D"#666666"><i>Vice President, International 
Policy</i></font><=
/div><div 
style=3D"font-family:arial,sans-serif;font-size:12.66666698455810=
5px"><b><font color=3D"#666666">Public 
Knowledge</font></b></div><div><font=
 face=3D"arial, sans-serif" color=3D"#0000ff"><span 
style=3D"font-size:12.6=
66666984558105px"><u><a 
href=3D"http://www.publicknowledge.org/" target=3D"=
_blank">http://www.publicknowledge.org/</a></u></span></font><br>
</div><div 
style=3D"font-family:arial,sans-serif;font-size:12.6666669845581=
05px"><a value=3D"+16176979389" 
style=3D"color:rgb(102,102,102)">+ 1 617697=
9389 |=C2=A0</a><font color=3D"#666666">skype: 
carolrossini |=C2=A0</font><=
font color=3D"#0000ff"> AT 
carolinarossini</font></div>
</div></div></div><div><br></div></div>
</div>

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