2. Data pipeline

(these links are temporarily restricted to authors)

• Shared Drive with data warehouse (requires access rights)

• Github repository for codes

• Overleaf document for paper (requires access rights)

• Data repository (comming soon)

2.1. Get the data

The data used in this work has been collected from several sources, namely:

• Astronomical Data System

• CONICET

• CONICET, “gobierno abierto > conicet en cifras” https://cifras.conicet.gov.ar/publica/

• CONICET, “conicet digital” Repositorio institucional https://ri.conicet.gov.ar

• Asociación Argentina de Astronomía

• Astronomy Institutes in Argentina:

  • IATE

  • IAFE

  • ICATE

  • IALP

  • OAC

• Universities in Argentina

  • UNC

    • Lic. en Astronomía

    • Statistical data

2.2. Feature construction

• Age: We performed a non-linear least squares regression for the variables “DNI” and age, using as the training dataset that of the AAA original table.

• Gender: We use the table compiled by Mustafa Atik to assign gender on the basis of the names. We have also tried other tools, e.g. genderize.io, throught the client https://github.com/SteelPangolin/genderize, GenderAPI web tool, with the same results.

2.3. Publications

We have performed a detailed analysis of publication data for each author. The process involves the following steps:

• Download ADS publication data for each author using the name as the search key. At this stage we use the python packages ADS and PINNACLE.

• Search and add ORCID keys

• Train, evaluate and apply a machine learning model to clean the sample of papers. This is required since the search by name often return the entries for several authors with similar names.

• Add metrics for journals, taking data from SCImago Journal & Country Rank public portal

• Add publication metrics

The curated dataset allows to construct several indices:

• number of authors per article

• number of articles per author

• number of articles per author, as leading author

• distribution in time of articles

• H-index

• relative position of a given author in the authors list