aula 2 (28 set 2016)
TRANSCRIPT
#2
28.09.2016
numeracianumeracia em C&T
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http://www.dgeec.mec.pt/np4/206/%7B$clientServletPath%7D/?newsId=11&fileName=Destaque_IPCTN14_ResultadosDefinitivos.pdf
Data are
increasingly
used to govern
ScienceLeiden Manifesto, 2015
data
stats
indies
index
data
stats
indies
index
information
aggregate
construct
mash
http://www.sti2016.org/
This conference aims to stimulate reflection on the challenges posed to S&T indicator development and use in geographical, cognitive or social spaces that are peripheral or marginal to the centres of economic, scientific or technological activity. The focus is also on emerging areas of research and innovation that are inadequately described by existing, quantitative or qualitative indicators.
http://www.sti2015.usi.ch/
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http://ec.europa.eu/eurostat/web/science-technology-innovation/overview
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https://www.fct.pt/gabestudosestrategia/OCDE/index.phtml.pt
http://www.oecd.org/sti/STI-Stats-Brochure.pdf
http://www.oecd.org/science/scoreboard.htm
http://www.oecd.org/sti/oecd-science-technology-and-industry-outlook-19991428.htm
The OECD Science, Technology and Industry Outlook 2014
reviews key trends in science, technology and innovation
(STI) policies, and performance in more than 45 economies,
including OECD countries and major emerging economies. The
report draws on the latest OECD work on science and
innovation policy analysis and measurement.
Following an overview of the STI global landscape and policy
trends, key policy issues are discussed across a series of
thematic policy profiles. The third section examines individual
STI country performances, along with the most recent
national policy developments. These global and national
policy trends are monitored by a unique international policy
survey conducted by the OECD every two years.
https://www.innovationpolicyplatform.org/sti/e-outlook
https://www.innovationpolicyplatform.org/content/portugal
https://innovationpolicyplatform.org/system/files/sti-outlook-2014-portugal.pdf
EC/OECD Science, Technology and Innovation Policy Database - 2014 Edition
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scat
i-M
anu
al.h
tm
internationally
recognised
methodology for
collecting and using
R&D statistics, it is an
essential tool for
statisticians and
science and innovation
policy makers
worldwide
it includes definitions
of basic concepts,
data collection
guidelines, and
classifications for
compiling R&D
statistics
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international source
of guidelines
for the collection
and use of data on
innovation activities
in industry
http://www.leidenmanifesto.org/
http://www.nature.com/polopoly_fs/1.17351!/menu/main/topColumns/topLeftColumn/pdf/520429a.pdf
10 PRINCIPLES
1. Quantitative evaluation should support qualitative, expert assessment.
2. Measure performance against the research missions of the institution, group
or researcher.
3. Protect excellence in locally relevant research.
4. Keep data collection and analytical processes open, transparent and simple.
5. Allow those evaluated to verify data and analysis.
6. Account for variation by field in publication and citation practices.
7. Base assessment of individual researchers on a qualitative judgement of their
portfolio.
8. Avoid misplaced concreteness and false precision.
9. Recognize the systemic effects of assessment and indicators.
10.Scrutinize indicators regularly and update them.
#stock #baseline #flux #trend
pers pros
indie
challenge
CHNJPNUSAOECDKOREU28
JPNCHNUSAEU28
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