This presentation has a synthesis of what was discussed with American representatives of Star Metrics Project. The Brazilian experiences of building Lattes Platform and similar projects is explained according to the most frequent questions raised at the collaboration meetings that occured in Brasilia (January 2011) and Washington (April 2011)
Automating Google Workspace (GWS) & more with Apps Script
ST&I Information systems: Brazilian initiatives frequently asked questions
1. Brazilian ST&I
Information Systems Initiatives
Frequently Asked Questions - FAQ
Roberto Pacheco
Stela Institute and Federal University of Santa Catarina
José Salm Jr.
Stela Institute and Federal University of Santa Catarina
Marcio de Miranda Santos
Center for Strategic Studies and Management of ST&I
Ministério da
Ciência e Tecnologia
2. Purposes…
Goals
This presentation collects information regarding the
most frequent questions about Lattes Project
discussed during the meetings with representatives of
Star Metrics project (https://www.starmetrics.nih.gov)
We hope they can help the discussion about the
American project named “Federal Research Profile
System” – FRPS a joint effort from research funding
agencies in USA.
IMPORTANT: This presentation is based on our own experience in
Lattes project as well as Innovation Portal. Thus does not represent
official opinions of the Brazilian Government.
Ministério da
Ciência e Tecnologia
3. Suggested questions for this workshop…
1. How did we develop Lattes Platform and other projects?
What were the main steps in the trajectory that lead to the National S&T database?
2. What were the main factors that lead to a S&T information platform?
Was mandatory register crucial? How to do it when obligation is not in place?
3. In which ways Lattes is useful to institutions?
How universities access and use the Lattes data on their own benefit?
4. How Lattes and Innovation Portal are used by decision makers?
What are the knowledge ST&I systems developed? How the data is used in ST&I Mgmt?
5. What would we do differently?
Considering the technology we have available today and the web social dynamics
6. What can be done further?
How can we avoid “annoying” researchers by asking repeatedly the same information?
How to incorporate best practices in addition to statistics in services provided?
7. What are the priority areas for us to collaborate?
What are the perspectives from the Brazilian point of view?
How Starmetrics can benefit from these developments?
Ministério da
Ciência e Tecnologia
4. 1. How did we develop Lattes Platform and other projects?
What were the main steps in the Brazilian trajectory that lead to
the National ST&I database?
LATTES STEP BY STEP REVIEWED
Ministério da
Ciência e Tecnologia
5. 1. How did we do it? From the diagnostic…
1997 - We acknowledged
that the national electronic
forms were important to
agency fund operation, but
unsuitable to decision
making.
They were a product of
lack of a national view of
information systems
How about today? There
is even more redundancy
due to web facilities:
standards and author
certification are necessary
Ministério da
Ciência e Tecnologia
6. 1. How did we do it? By considering all ST&I needs
The right questions were directed to understand all ST&I players needs for
information.
How about today? The needs have increased significantly.
Researchers don t want better systems to fulfill data.
They want better integration technology and information services.
Ministério da
Ciência e Tecnologia
7. 1. How did we do it? By establishing principles
1998: These principles were developed in the first steps of Lattes Platform
Ministério da
Ciência e Tecnologia
8. 1. How did we do it? By having an integrated view of ST&I info
The e-Gov architecture had basis on the following systemic view: ST&I players
together in a national information platform. This is done only if the platform can attend
all players (not only the government)
How about today: by platform we mean a set of systems from different agencies,
different technologies, sharing the same standards and services
Ministério da
Ciência e Tecnologia
9. 1. How did we do it? By hearing researchers
S&T Contents in the curriculum
• Identification Prizes
• Addresses • Projects
• Academic Degrees • Bibliographic Production
• Professional Experiences • Technical Production
• Knowledge domain • Thesis Advisements
• Idioms • Complementary Data
In 1999 the Brazilian researchers received not an
electronic form but an integrated information
system that helped them to organize and
Information Resources divulgate their work.
• Homepage automatic
• CV Indicators
• Export to several formats
Co-production: was very important to involve the Brazilian
• Easy error verification
researchers: CNPq sent questionnaires to more than 700
researchers. About 400 answered telling what they wanted
in a CV. About a 100 tested the first version of CV Lattes
and evaluated it as 4.2 (on a 0 to 5 scale)
Ministério da
Ciência e Tecnologia
10. 1. How did we do it? By developing standards
The data architecture was created to manage research groups and curricula information.
Different ST&I players views (and services) were considered during the design phase.
The left and right walls represent different criteria to analyze the data
(e.g., by knowledge fields or geographic area)
Ministério da
Ciência e Tecnologia
11. 1. How did we do it? By sharing the standard definitions
ConscienTias Community. Stela, CNPq
and other institutions created a
consortium to establish ontologies for
S&T (2000-2004).
National standards. The standards were
adopted by ST&I organizations in Brazil.
Organizational data. Some universities
migrated data from their systems to
Lattes CV format and made them
accessible to their researchers.
International standards. ScienTI
Network adopted the same methodology.
Ministério da
Ciência e Tecnologia
12. 1. How did we do it? By having international references
• Common
• European
• Research
• Information www.eurocris.org
• Format
http://lmpl.cnpq.br/lmpl/
Dublin Core
www.dublincore.org
Standards and interoperability can lead to a point
SWRC – Semantic where making knowledge interchange is feasible
Web Research
Community Scientometrics can benefit from the facility of
persons, organizations, making different information sources
publications, projects and
topics interchangeable and complementary.
http://ontoware.org
Ministério da
Ciência e Tecnologia
13. 1. How did we start? By developing an e-Gov methodology
PROJECT
PHASE Interacting
Multidisciplinary: with Users Information
Sources
software Requirements
engineers,
knowledge OPERATION
engineers, ST&I Planning PHASE
experts and public
Creating and
agency Related Virtual Managing
Projects Studies Communities Knowledge
professionals work
together. Forming
Communities for
Standards Services
(e-services)
Development and
Source: Pacheco, 2003
Deployment
METHODOLOGY: Perceiving design,
development, use and revision as a
Management and
Maintenance
continuous process was the key to make
national platforms constantly growing.
14. 1. How did we start? By developing an e-Gov architecture
We have developed a methodology that leads to an e-Gov architecture based on
different layers of systems and services.
We have applied this methodology in several other e-Gov projects:
Lattes Platform, Innovation Portal, DCVISA/ANVISA, SIBEA/MMA, etc
Ministério da
Ciência e Tecnologia
15. 2. What were the main factors that lead
to a S&T information platform?
Was mandatory register crucial?
How to do it when obligation is not in place?
KEY ISSUES IN BUILDING A
NATIONAL ST&I
Ministério da
Ciência e Tecnologia
16. 2. Key issues: Mandatoriness
From mandatory to obligated
Lattes began (and still is) mandatory for
CNPq grants.
After a while it was adopted by all agencies
and became an official national CV: “if you
don t have a Lattes CV people will not find
you in the national ST&I”
Universities require it to internal affairs
More than 309.000 cvs put available in the web
Professional associations require
Many social networks created to work with Lattes
CV Lattes
Ministério da
Ciência e Tecnologia
17. 2. Key issues: integrating public information
When Lattes Platform was
concluded we built a system that
allowed graduate courses to
import curricula (from CNPq) into
the evaluation system (from
CAPES), saving time (and 2 ton of
paper)
CAPES is the national agency for
evaluating all graduate program. By
adopting Lattes, its evaluating system
helped to turn it into a national
standard.
By publishing CVs XML we made possible the
creation of bridge systems among agencies
Ministério da
Ciência e Tecnologia
18. 2. Key issues: linking with other services
From CVs
to full text
articles
From CVs
to IP
registers
In 2001Lattes Platform had already a set of integrated links that allowed going
from CVs to intellectual property registers or from CVs to full paper
documents, or even from CV to thesis databases (and vice-versa)
Ministério da
Ciência e Tecnologia
19. 2. Key issues: Make it available to Institutions
CNPq created the Extractor
system to make the curricula
available to the universities and
R&D institutions
R&D institutes use the Lattes CV as
a source to strategic planning.
Ministério da
Ciência e Tecnologia
20. 3 - In which ways Lattes is useful to institutions?
How universities access and use the Lattes data on their own
benefit?
LATTES AS AN ORGANIZATIONAL
USEFUL TOOL
Ministério da
Ciência e Tecnologia
21. 3. Lattes as organizational tool: Competence management
Lattes is used to:
• Evaluate carrier plan
• Planning R&D
• Locate expertise
• Networking analysis
• Innovation evaluation
Ministério da
Ciência e Tecnologia
22. 4 - How Lattes and Innovation Portal are used by decision
makers?
What are the knowledge ST&I systems developed? How the data is used in ST&I
Mgmt?
ST&I INFORMATION TO DECISION
MAKING
Ministério da
Ciência e Tecnologia
23. 4. ST&I data to DM: Evaluation
The national
databases are source
for several evaluation
systems, used by
universities, by the
Education and S&T
Ministries and their
agencies.
Ministério da
Ciência e Tecnologia
24. 4. ST&I data to DM: knowledge creation analysis
What
Brazilians
have been
publishing
in english
How publication is
organized in
“clima urbano”
Ministério da
Ciência e Tecnologia
25. 4. ST&I data to DM: competences profile analysis
With CVs studies like this made by PAHO
and RICYT can show how each country is
doing in a particular area
Ministério da
Ciência e Tecnologia
26. 4. ST&I data to DM: making subdomain DM spaces
National System of Superior
Education Evaluation - SINAES
Prêmio do Banco
Mundial – Inovação em
Estatística:
The system was recognized
by Interamerican Bank as a
BASIs – Lattes curricula were the source to select 13 thousand remarkable innovation
evaluators to assess graduate courses and Education
Institutions in Brazil
Ministério da
Ciência e Tecnologia
27. 4. ST&I data to DM: making subdomain DM spaces
SIBEA – Environmental
Education Portal to
Environmental Ministry
http://sibea.mma.gov.br/dcsibea/
SIBEA – Lattes curricula were the source to build a national Portal
with contents and people interested in Environmental Education.
The project was supported by Environmental Ministry
Ministério da
Ciência e Tecnologia
28. 4. ST&I data to DM: making subdomain DM spaces
DCVISA – National Portal
with people, institutions
and contents related to
health surveillance
http://dcvisa.anvisa.gov.br/#/home
DCVISA – Lattes curricula were the source to build
a national Portal with competences in Health
Surveillance
Ministério da
Ciência e Tecnologia
29. 5 - What would we do differently?
Considering the technology we have available today and the web
social dynamics
RETHINKING THE PATHWAY
Ministério da
Ciência e Tecnologia
30. 5. What would we do differently? Rethinking the pathway
Open technology
By using proprietary technology we were able to advance faster, but in the end
that was a difficult factor to take the solutions to other countries.
Keep the standard community of practice running
Changes in public managers can stop background projects
Multi-language
The issue of different languages should be raised sooner
Web intensive use
More than a media, Web is a space from which one can also gather
information
Ministério da
Ciência e Tecnologia
31. 6 - What can be done further?
How can we avoid “annoying” researchers by asking repeatedly the same
information?
How to incorporate best practices in addition to statistics in services provided?
THE NEXT CHALLENGES (SOME)
Ministério da
Ciência e Tecnologia
32. 6. What can be done further? Some challenges
Firm data
Regarding data from private sector we are closely from what we had in 1990s with
CVs.
Auto-population
By connecting the different sources of information and let the owner have the final
word
More intensive use of ontology engineering
Standards and services must be increased in order to form a web of services
Open data
A national policy of e-gov must turn public data available to make new services
Web social based systems
There are 2 million of CVs in Lattes and 3.5 million of Linkedin Brazilian profiles…
Incorporate stories
Include and connect social networks.
Ministério da
Ciência e Tecnologia
33. 7 - What are the priority areas for us to collaborate?
What are the perspectives from the Brazilian point of view?
How Starmetrics can benefit from these developments?
COLLABORATION OPPORTUNITIES
Ministério da
Ciência e Tecnologia
34. 7. Collaboration oportunities: what can we do together?
From your project view
We can have a very good example to show to Brazilian authorities of how open
government is a must for the next generation of systems.
From your project development approach
How the involvement of universities can raise the
From your project technology choices
It helps us in the next phases of platform updating
Services link
We can link services abroad (like the example we saw at NIH)
Ministério da
Ciência e Tecnologia
35. Brazilian ST&I
Information Systems Initiatives
Frequently Asked Questions - FAQ
THANK YOU
Roberto Pacheco
Stela Institute and Federal University of Santa Catarina
José Salm Jr.
Stela Institute and Federal University of Santa Catarina
Marcio de Miranda Santos
Center for Strategic Studies and Management of ST&I
Ministério da
Ciência e Tecnologia