Brazil

Covid-19 Transparency Index

The Covid-19 Transparency Index is an initiative of Open Knowledge Brazil that aims to evaluate the quality of open data offered by regional governments, capital cities and the federal government of Brazil. To guarantee not only the existence of transparent data, but also its veracity and accessibility, the organization developed an index according to which it rates the data provided on case numbers, demographics, and infrastructure dealing with the Covid-19 pandemic. Three dimensions of the data are evaluated: content, granularity, and format, through 26 indicators. The data is then categorized on a scale from 0 to 100, where 100 represents the highest level of transparency. Then, according to the ranges of values, the initiative qualifies the data transparency as "opaque", "low", "medium", "good", or "high". They also offer direct downloads from state and capital databases.

Institutional design

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Formalization: is the innovation embedded in the constitution or legislation, in an administrative act, or not formalized at all?

Frequency: how often does the innovation take place: only once, sporadically, or is it permanent or regular?

Mode of Selection of Participants: is the innovation open to all participants, access is restricted to some kind of condition, or both methods apply?

Type of participants: those who participate are individual citizens, civil society organizations, private stakeholders or a combination of those?

Decisiveness: does the innovation takes binding, non-binding or no decision at all?

Co-governance: is there involvement of the government in the process or not?

Formalization
not backed by constitution nor legislation, nor by any governmental policy or program 
Frequency
regular
Mode of selection of participants
restricted 
Type of participants
civil society  
Decisiveness
democratic innovation yields no decision  
Co-Governance
no 

Means


  • Deliberation
  • Direct Voting
  • E-Participation
  • Citizen Representation

Ends


  • Accountability
  • Responsiveness
  • Rule of Law
  • Political Inclusion
  • Social Equality

Policy cycle

Agenda setting
Formulation and decision-making
Implementation
Policy Evaluation

Sources

How to quote

Do you want to use the data from this website? Here’s how to cite:

Pogrebinschi, Thamy. (2017). LATINNO Dataset. Berlin: WZB.

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