training-datalab / tufte-working-papers

Tufte Working Papers (ISSN 2735-6043)
https://training-datalab.com/tufte-working-papers
Creative Commons Attribution 4.0 International
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latex political-science public-policy working-paper

Tufte Working Papers

ISSN 2735-6043 \ https://training-datalab.com/tufte-working-papers

Project Status: Active – The project has reached a stable, usable state and is being actively developed. License License Latex tDL

Overview

Tufte Working Papers (ISSN 2735-6043) is a continuous publication based at Training Data Lab. This series of papers promotes debate in the social sciences, especially on issues related to political science and public policies. The series includes unpublished papers and revised versions of previous publications that propose innovative research techniques or offer novel empirical information. The papers are published in Spanish and English, although preference is given to publications in Spanish in order to support the divulgation of open access knowledge in Ibero-America.

This series is produced entirely in Tufte-LaTeX, inspired by Edward R. Tufte. In addition, it is licensed under Creative Commons, therefore, its content is open access and uses the CRediT taxonomy to identify co-authored contributions along with an open review process. For further information, see the guidelines for this series.

Indexing and Readership

This working papers series is indexed in Latindex-Directorio. The full text usage, which is the sum of views and downloads from the platform, is 2,283 until January 2023.

Storage

The GitHub repository has controlled access with Two-Factor Authentication 2FA with two physical USB security devices and mobile applications. USB devices and mobile applications issue one-time passwords to generate a cryptographic authentication FIDO2 and U2F. Furthermore, a Digital Object Identifier is provided by SocArXiv and Zenodo.

Issues

License

These working papers are released under a Creative Commons Attribution 4.0 International license (CC BY 4.0), and the underlying code used to format and display that content is licensed under an LPPL v1.3c license.

Submissions

Submissions can be made to working-papers@training-datalab.com.