ASN 2016 evaluation with open data

This publication contains several datasets that have been used in the paper "Crowdsourcing open citations with CROCI – An analysis of the current status of open citations, and a proposal" submitted to the 17th International Conference on Scientometrics and Bibliometrics (ISSI 2019), available at https://arxiv.org/abs/1902.03287.

Additional information about the analyses described in the paper, including the code and the data we have used to compute all the figures, is available at https://github.com/sosgang/asn2016-issi2019. The datasets contain the following information.

[asncv | dblp | dblp_asncv]-data.csv: these CSV files contains all the final data used for the experiment with three conditions as described in the paper. The columns of the CSV file are the following ones (each row represents a particular candidate's application):

• level: the professor level (1: Full Professor, 2: Associate Professor) to which the candidate wants to get the habilitation;
• session_date: the date of the session for submitting the application;
• journal_number_open: the number of journal article published by the candidate according to the open data available;
• citation_number_open: the number of citations received by candidate's articles according to the open data available;
• h_index_open: the h-index of the candidate according to the open data available;
• journal_number_real: the number of journal article published by the candidate according to the official ASN 2016 data;
• citation_number_real: the number of citations received by candidate's articles according to the official ASN 2016 data;
• h_index_real: the h-index of the candidate according to the the official ASN 2016 data.

All the other CSV files are intermediated data used to calculate the aforementioned one.