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Title: Data Basis (Base dos Dados): Universalizing Access to High-Quality Data

Citation Type: Miscellaneous

Publication Year: 2022

Abstract: In this paper we explain how the Data Basis platform helps decisively solve the data access problem for different types of users. We describe its core products: a powerful search engine, a freely accessible data lake featuring a unified schema and hundreds of interoperable tables, and APIs in various programming languages. We exemplify the platform's utility with discussions of three datasets on labor markets, elections, and local public finances in Brazil. The project is extraordinarily cost-effective: dividing a measure of yearly benefits generated by a conservative estimate of yearly costs to run the organization yields a lower bound social return of 74. We conclude by laying out a roadmap to guide the organization's future steps.

Url: https://www.ricardodahis.com/papers/Dahis et al %282022%29 Data Basis - Universalizing Access to High-Quality Data.pdf

User Submitted?: No

Authors: Dahis, Ricardo; Carabetta, João; Scovino, Fernanda; Israel, Frederico; Oliveira, Diego

Publisher:

Data Collections: IPUMS USA

Topics: Population Data Science

Countries:

IPUMS NHGIS NAPP IHIS ATUS Terrapop