In this presentation we address the issue of why innovation funding data are generally poor to support strategic studies. Generally they come from information systems designed to help only part of the processes of a national (or regional) innovation system. We present the main lessons learned from the Brazilian ST&I system projects, particularly Lattes and Portal Inovação.

1. 3rd Background Paper – Regional and international practices for disclosing information related to innovation and social
environment impact of business.
Project
“OPENING UP NATURAL RESOURCE-BASED INDUSTRIES FOR INNOVATION: EXPLORING NEW PATHWAYS FOR DEVELOPMENT IN LATIN
AMERICA”
NATIONAL INFORMATION SYSTEM PLATFORMS
(NISP) TO SUPPORT DECISION MAKING IN ST&I
POLICIES: Brazilian NISP analysis and
perspectives
Roberto C. S. Pacheco; Vinícius Medina Kern; José Salm Jr; Denilson Sell.
Second Workshop
Buenos Aires, May 31, 2011

2. AGENDA
• Where were we in 2010?
• Why innovation data is bad and what can we do
about it?
1. How innovation data are created?
2. What are the lessons learned from Brazilian ST&I
information projects?
• Conclusions
2

3. Where were we in 2010?
In our first meeting the issue was:
How to use innovation funding data to
study alternative pathways for Natural
Resources (NR) use?
3

4. The first studies showed that we could not use the data…
But we concluded that:
“We need to put more emphasis on case
studies, because the data is really bad”
4

5. One of our paper´s goal
In our paper we tried to answer the following question:
Why innovation funding data is bad
and what can we do about it?
http://www.net-detective.co.uk/net-detective-finds-out-the-truth-about-anyone.jpg
1 2
How innovation data are created What are the lessons learned from
in a national ST&I system? Brazilian ST&I information projects?
1.1
Why the sponsor agency 2.1
view about ST&I matters? How ST&I information
systems are developed?
1.2
2.2
Where and how innovation How were Brazilian ST&I
data come from? information systems developed?

6. 1. How innovation data are created?
Why innovation funding data is bad
and what can we do about it?
1
How innovation data are created
in a national ST&I system?
1.1
Why the sponsor agency
view about ST&I matters?
1.2
Where and how innovation
data come from?
http://www.net-detective.co.uk/net-detective-finds-out-the-truth-about-anyone.jpg

7. 1.1 How sponsor agency sees information matters…
Why innovation funding data is bad
and what can we do about it?
1
How innovation data are created
in a national ST&I system?
1.1
Why the sponsor agency
view about ST&I matters?
1.2
Where and how innovation
data come from?
http://www.net-detective.co.uk/net-detective-finds-out-the-truth-about-anyone.jpg

8. 1.1a Innovation data is designed to attend the sponsors…
An information system developed to help a
funding agency depends on how this organization
conceives the national (regional) innovation
system being funded…
Innovation data format is
impacted by the way the sponsor
agency understands the role of
information in the national
(regional) ST&I system.
8
http://www.sussex.ac.uk/study/pg/2010/images/subjects/Science,%20technology%20and%20innovation.jpg

9. 1.1b How to know the sponsor agency view of the NIS?
NIS conceptual (nonlinear) models
Jorge de Sábato
Government
Government
Loe
Companies S&T infraesrtructure Leydesdorff
Henry
Sabato´s triangle Etzkowitz
Triple Helix OECD Systemic Model
• We need to know the public sponsor view of NIS (is it linear or nonlinear?).
• Is the sponsor agency willing to treat information systems in the same way?
Pacheco, et. al. 2010 9

10. 1.1c How to design a national ST&I system model?
Education and
SINAES STI researchers
Training System
MEC
STI R&D Groups
STI
Depts
Petrobras Labs
CENPES
R&D groups at CENPES Culture
RNP, Portal Inovação,
Product and factor Plataforma Lattes
Market conditions
(ex. demand for Communication infrastructure
engineers) CNPq
MCT Innovation Law
CGEE FINEP
PDP, PIB
ABIPTI
MDIC Investors
ABDI
Firms ANPROTEC
BNDES
NIS components
S&T ANVISA ANEEL
Environment
Government
This was the view we adopted in the Portal Inovação project in Brazil: it is a
platform because it considers all innovation players 10

11. 1.2 Where and how innovation data come from?
Why innovation funding data is bad
and what can we do about it?
1
How innovation data are created
in a national ST&I system?
1.1
Why the sponsor agency
view about ST&I matters?
1.2
Where and how innovation
data come from?
http://www.net-detective.co.uk/net-detective-finds-out-the-truth-about-anyone.jpg

12. 1.2a Innovation data come from ST&I processes…
Innovation data come from
information systems that help
to deal with ST&I processes
http://mcsiweb.com/sub/wordpress/wp-content/uploads/2011/05/database-300x225.jpg 12

13. 1.2b How ST&I processes and data are related?
ST&I Players
Funding Funding Funding Funding
Funding Funding Funding Funding Funding
agency agency agency Beneficiary agency
candidate agency Evaluators agency Beneficiary Funding
society
ST&I Beneficiary
Institution society
processes
Public call Results
Planning for Evaluation Contract Mgmt. and
proposals Impacts
Tasks
Goals Term of reference Peer review Budget analysis Research progress Conferences
Priorities Proposal creation Project evaluation Budget adjustment Training Media
Funding Demand reception Team evaluation Inst. Agreements ST&I development Final report
Programs Document analysis Classification Payment Project reports Assessment
Data
• Project reports • Job creation
• Proponent profile
• Curriculum • Contract • Publications • Infrastructure
• ST&I Plans (Cvs, firm portfolio)
evaluation • Work plan • Patents
• Budget Plan • Project proposals
• Proposal evaluation approval • Dissertations/theses
• Reports • Institutional data
• Budget analysis • Payments • Event presentations
• Documents 13

14. 1.2c What are the ST&I data?
14

15. 1.2c What are the ST&I data?
15

16. 1.2d How ST&I data are connected?
Social
networks ISTI
individual Web Project web data
Unstructured
profile personal web data
profile
Firm
web data
Public
Project Project agency
proposal proposal web data
Publication document document
Innovation Innovation
demand/offering demand/offering
Project proposal Other
description organization
Project proposal
Explicit description R&D
network Firm
Structured
relationship profile Project
profile
Public
team agency
Implicit CV
ISTI
relationship profile
Research group Course
profile
Individual Collective Organizational 16

17. 2.1 How ST&I information systems are developed?
Why innovation funding data is bad
and what can we do about it?
2
What are the lessons learned from
Brazilian ST&I information projects?
2.1
How ST&I information
systems are developed?
2.2
How were Brazilian ST&I
information systems developed?
http://www.net-detective.co.uk/net-detective-finds-out-the-truth-about-anyone.jpg

18. 2.1a ST&I Systems are called CRIS
Current Research Information
Systems (CRIS)
“Any information tool dedicated to
provide access to and disseminate
research information.
It covers projects, people
(expertise), organisational
structure, R&D outputs
(products, patents, publications), R&D events
and R&D facilities and equipment.”
[Eurocris organisation, 2006]
18

19. 2.1b A ST&I NISP = i CRISi
National Information Systems Platform
(NISP)
“´A coherent array’ of information subsystems with the
capacity to intercommunicate”
(Aines, 1968).
By “coherent array”, NISP implies in CRIS diversity: NISP
is not a centralized computerized information system.
Why a platform? NISP is a Platform when its set of
CRIS form a coordinated view of information systems
that interoperate, exchange services and identifies the
user univocally.
19

20. 2.1c NISP include e-Gov systems
E-Government
Application of information and
communication technologies to support
government activities
The use of technologies to improve how
citizens, employees, partners and
government interact and conduct
business. [Koh et al. 2005]
NISP is not only a matter of e-Gov, but
public CRIS play a central role, because
government is the player in best position
to establish official systems.
20

21. 2.2 How were Brazilian ST&I CRIS developed?
Why innovation funding data is bad
and what can we do about it?
2
What are the lessons learned from
Brazilian ST&I information projects?
2.1
How ST&I information
systems are developed?
2.2
How were Brazilian ST&I
information systems developed?
http://www.net-detective.co.uk/net-detective-finds-out-the-truth-about-anyone.jpg

22. 2.2a Lattes Platform (since 1999)
Integrated data architecture
Lattes
curricula R&D Groups
2.135 million 22,797 groups in Institutions
422 institutions 14,404 institutions
(agencies, universities, com
panies, scientific
organizations, institutes)
Information Systems
22

23. 2.2a Strategic Developments in Lattes Project
• Lattes Institutional Platform
More than 100 IST use it as an
organizational information asset
• Transparency
ST&I investments under business
intelligence applications
• International view
ScienTI network: an initiative
ahead of its time.
23

24. 2.2a Strategic Developments in Lattes Project
• Lattes Standards
More than 20 national institutions
defined its data standard
Collaborative production
• Lattes Methodology
Our development created an e-Gov
methodology applied in several
other ST&I CRIS
eGov methodology (R&D)
• Lattes e-Gov Architecture
The e-Gov architecture is flexible,
open and systemic.
24
E-Gov architecture

25. 2.2b National directory of Health Surveillance Competences - DCVISA
VISA experience or
Professional and Curriculum Lattes educational background
researchers
VISA
Technicians Curricula
Researchers Knowledge, experiences and
Other Professionals other related data
Sample of issues
DCVISA  Who is working with health surveillance?
 Who are the experts in
pharmacosurveillance?
Portal Indicators CoP  Which subjects are being investigated in HS?
Network Analysis  Who works in networks in HS ?
 How is the HS profile in certain region?
25

26. 2.2c National Portal in Environmental Education - SIBEA
SIBEA Public Portal
Lattes CVs in
Environment
Environmental
education indicators
SINIMA
Educator Space
EE Personal
Profile Search for EE profiles
Institutional Pedagogical
Data Documents
EE networking
Institutional Space SIBEA data infrastructure
26

27. 2.2d National Portal in Environmental Education - Inovação
National space for technical cooperation - Portal SIBEA
Portal Inovação public space
Firm
STI Space
Expert
Space
Space
• Innovation news, agenda, etc.
• Search engine
• Business Intelligence
• Networking and topic map
Portal Content
Portal CoP • CoP
Innovation Demands • Information tips
R&D group agent Space Offerings Competences
Space
Intellectual
property database
Biotechnology FINEP Intellectual
Portal DB PRIME Property
SAPI Lattes R&D
Lattes groups
databases
SAPI Curricula
Portal PRIME Biotechnology 27
Lattes CVs and R&D groups
Portal Portal Innovation Portal data infrastructure

28. 2.2 How were Brazilian ST&I CRIS developed?
Why innovation funding data is bad
and what can we do about it?
2
What are the lessons learned from
Brazilian ST&I information projects?
2.1
How ST&I information
2.3 systems are developed?
After all, are they good for ST&I
strategic decision making?
2.2
How were Brazilian ST&I
information systems developed?
http://www.net-detective.co.uk/net-detective-finds-out-the-truth-about-anyone.jpg

29. 2.3a Spatial data analysis
29

30. 2.3b For National Knowledge Profile Analysis
Ciências
Refrigeração, Térmicas
Ar Condicionado,
Aquecimento e
Mecatrônica Ventilação
Mecânica da
Fratura, Fadiga e
Fenômenos Integridade
Ciências Não-lineares Estrutural
Térmicas Bioengenharia
Dinâmica
Mecânica
Mecânica Engenharia de
dos Fluidos
Computacional Fabricação
Ciências Engenharia de
Mecânica dos
Térmicas Produto
Sólidos
30

31. 2.3c MERCK Labs
What are the Brazilian competences in Health R&D?
31

32. 2.3c Searching for competences – Portal Inovação
32

33. 2.3c Searching for competences – Portal Inovação
33

34. 2.3c Searching for competences – Portal Inovação
34

35. 2.3c Health Research competences in Brazil
35

36. 2.3c Antibacterial National research knowledge map
36

37. 2. What did we learn from Brazilian ST&I systems?
Why innovation funding data is bad
and what can we do about it?
2
What are the lessons learned from
Brazilian ST&I information projects?
2.1
How ST&I information
systems are developed?
2.2
How were Brazilian ST&I
information systems developed?
http://www.net-detective.co.uk/net-detective-finds-out-the-truth-about-anyone.jpg

38. 2.2a International guidelines for e-Gov
VISION/POLITICAL WILL
Leadership and
Integration
commitment
COMMON FRAMEWORKS/CO-OPERATION
Inter-agency collaboration Financing
CUSTOMER FOCUS
Citizen
Access Choice Privacy
engagement
RESPONSIBILITY
Accountabily Monitoring and Evaluation
OECD, 2003.
38

39. 2.2b The e-Gov principles of NISP based on the
Lattes e-Gov methodology.
• Gather data • Operational • Exclusively • Operational • Dedicated • Isolated and • Ordinary
to fulfill (transactional dedicated to (transactional to a connected Software
government to support the to support particular only to Engineering
needs public government public governmen sponsor methods
processes) needs processes) t demand agency
OR information OR
OR OR OR OR needs
• Promote • e-government
• Strategic to • Strategic to OR
Informatio • Systemic, • Systemic, software
n Society create designed create built to methodology
national to fulfill national attend all • Strategic to based on R&D
spaces of the needs spaces of ST&I create and
information of diverse information players national knowledge
ST&I spaces of engineering
players information
39

40. CONCLUSIONS
What can we conclude in terms of using
innovation funding data in strategic
studies such as NR pathway analysis?
40

41. How to create better data?
Hence, if we want useful (rich, correct, easily updated)
data to analyze ST&I, we need to:
1) Apply e-Gov methodology in CRIS projects
2) Include strategic issues from the beginning
3) Apply knowledge systems to deal with CRIS and
related data (ex. web documents)
4) Involve experts in data analysis
IMPORTANT: (1) and (2) are applicable only in new (or renewed) information
system projects, but (3) and (4) can be useful even when the data is
unstructured, and available in nonofficial sources. The problem with applying
(3) and (4) without (1) and (2) is the cost-benefit relation of such studies.
41

42. What can we do in our project?
Finally, we hope that we can say now:
Knowledge-based ST&I systems combined
with experts´ analysis can help us to study
innovation data and check for evidences of
new NR pathways…
42

43. 3rd Background Paper – Regional and international practices for disclosing information related to innovation and social
environment impact of business.
Project “OPENING UP NATURAL RESOURCE-BASED INDUSTRIES FOR INNOVATION: EXPLORING NEW PATHWAYS FOR DEVELOPMENT IN LATIN
AMERICA”
MUITO OBRIGADO!
Roberto C. S. Pacheco; Vinícius Medina Kern; José Salm Jr; Denilson Sell.
Second Workshop
Buenos Aires, May 31, 2011