Asset Details
Do you wish to reserve the book?
Wide-Open: Accelerating public data release by automating detection of overdue datasets
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Wide-Open: Accelerating public data release by automating detection of overdue datasets
Do you wish to request the book?
Wide-Open: Accelerating public data release by automating detection of overdue datasets
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Wide-Open: Accelerating public data release by automating detection of overdue datasets
2017
Overview
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. We demonstrate the effectiveness of this approach on 2 popular National Center for Biotechnology Information (NCBI) repositories: Gene Expression Omnibus (GEO) and Sequence Read Archive (SRA). Our Wide-Open system identified a large number of overdue datasets, which spurred administrators to respond directly by releasing 400 datasets in one week.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
/ Animals
/ Application programming interface
/ Biomedical Research - methods
/ Biomedical Research - trends
/ Computational Biology - trends
/ Computer and Information Sciences
/ Databases, Genetic - standards
/ Datasets
/ Humans
/ Methods
/ National Library of Medicine (U.S.)
/ Research and Analysis Methods
/ Reuse
/ Texts
