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Self-report-Contribution-Data

This repo contains the self-report contribution statement data used in paper "Flat Teams Drive Scientific Innovation". The data is collected from four prestigious journals --- Nature, Science, PNAS, PLOS ONE.

The datasets can be loaded in as pickle files in Python. Example code:

f = open('Nature_Contribution_Data', 'rb')
nature_data = pickle.load(f)
f.close()

Data structure:

[Paper DOI, Paper Url/Index, Paper Title, List of Authors, Contribution Text/Dictionary]

The PLOS ONE dataset is extracted from data published in a previous work:

E. A. Corrêa Jr, F. N. Silva, L. da F. Costa and D. R. Amancio 
Arxiv:1609.05545, 2016.
http://arxiv.org/abs/1609.05545

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