Wide-Open: Accelerating public data release by automating detection of overdue datasets
PLoS Biol 15(6): e2002477, June 8, 2017
Publié le 09 juin 2017 par Thérèse Hameau
Abstract
Open data is a vital pillar of open science and a key enabler for reproducibility, data reuse, and novel discoveries. Enforcement of open-data policies, however, largely relies on manual efforts, which invariably lag behind the increasingly automated generation of biological data. To address this problem, we developed a general approach to automatically identify datasets overdue for public release by applying text mining to identify dataset references in published articles and parse query results from repositories to determine if the datasets remain private…
