ST&I National Information System Platform: the Brazilian case of Lattes
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ST&I National Information System Platform: the Brazilian case of Lattes

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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 ...

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.

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ST&I National Information System Platform: the Brazilian case of Lattes ST&I National Information System Platform: the Brazilian case of Lattes Presentation Transcript

  • 3rd Background Paper – Regional and international practices for disclosing information related to innovation and socialenvironment 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
  • 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
  • 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
  • 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
  • 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?
  • 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
  • 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
  • 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. 8http://www.sussex.ac.uk/study/pg/2010/images/subjects/Science,%20technology%20and%20innovation.jpg
  • 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 HenrySabato´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
  • 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 GovernmentThis was the view we adopted in the Portal Inovação project in Brazil: it is aplatform because it considers all innovation players 10
  • 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
  • 1.2a Innovation data come from ST&I processes… Innovation data come from information systems that help to deal with ST&I processeshttp://mcsiweb.com/sub/wordpress/wp-content/uploads/2011/05/database-300x225.jpg 12
  • 1.2b How ST&I processes and data are related?ST&I PlayersFunding Funding Funding Funding Funding Funding Funding Funding Fundingagency agency agency Beneficiary agency candidate agency Evaluators agency Beneficiary Funding society ST&I Beneficiary Institution societyprocesses Public call Results Planning for Evaluation Contract Mgmt. and proposals ImpactsTasks 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 AssessmentData • 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
  • 1.2c What are the ST&I data? 14
  • 1.2c What are the ST&I data? 15
  • 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 proposalExplicit description R&D network Firm Structuredrelationship profile Project profile Public team agencyImplicit CV ISTIrelationship profile Research group Course profile Individual Collective Organizational 16
  • 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
  • 2.1a ST&I Systems are called CRISCurrent Research InformationSystems (CRIS)“Any information tool dedicated toprovide access to and disseminateresearch information.It covers projects, people(expertise), organisationalstructure, R&D outputs(products, patents, publications), R&D eventsand R&D facilities and equipment.” [Eurocris organisation, 2006] 18
  • 2.1b A ST&I NISP = i CRISiNational 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
  • 2.1c NISP include e-Gov systemsE-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
  • 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
  • 2.2a Lattes Platform (since 1999) Integrated data architectureLattescurricula R&D Groups2.135 million 22,797 groups in Institutions 422 institutions 14,404 institutions (agencies, universities, com panies, scientific organizations, institutes) Information Systems 22
  • 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
  • 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
  • 2.2b National directory of Health Surveillance Competences - DCVISA VISA experience orProfessional and Curriculum Lattes educational background researchers VISA Technicians Curricula Researchers Knowledge, experiences andOther 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
  • 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
  • 2.2d National Portal in Environmental Education - Inovação National space for technical cooperation - Portal SIBEA Portal Inovação public space Firm STI SpaceExpert SpaceSpace • 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 databasesSAPI CurriculaPortal PRIME Biotechnology 27 Lattes CVs and R&D groups Portal Portal Innovation Portal data infrastructure
  • 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
  • 2.3a Spatial data analysis 29
  • 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
  • 2.3c MERCK LabsWhat are the Brazilian competences in Health R&D? 31
  • 2.3c Searching for competences – Portal Inovação 32
  • 2.3c Searching for competences – Portal Inovação 33
  • 2.3c Searching for competences – Portal Inovação 34
  • 2.3c Health Research competences in Brazil 35
  • 2.3c Antibacterial National research knowledge map 36
  • 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
  • 2.2a International guidelines for e-GovVISION/POLITICAL WILL Leadership and Integration commitmentCOMMON FRAMEWORKS/CO-OPERATION Inter-agency collaboration FinancingCUSTOMER FOCUS Citizen Access Choice Privacy engagementRESPONSIBILITY Accountabily Monitoring and Evaluation OECD, 2003. 38
  • 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
  • CONCLUSIONSWhat can we conclude in terms of using innovation funding data in strategic studies such as NR pathway analysis? 40
  • 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 projects2) Include strategic issues from the beginning3) 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
  • 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 studyinnovation data and check for evidences of new NR pathways… 42
  • 3rd Background Paper – Regional and international practices for disclosing information related to innovation and socialenvironment impact of business.Project “OPENING UP NATURAL RESOURCE-BASED INDUSTRIES FOR INNOVATION: EXPLORING NEW PATHWAYS FOR DEVELOPMENT IN LATINAMERICA” MUITO OBRIGADO! Roberto C. S. Pacheco; Vinícius Medina Kern; José Salm Jr; Denilson Sell. Second Workshop Buenos Aires, May 31, 2011