Sysrev: A FAIR Platform for Data Curation and Systematic Evidence Review
Well-curated datasets are essential to evidence based decision making and to the integration of artificial intelligence with human reasoning across disciplines. However, many sources of data remain siloed, unstructured, and/or unavailable for complementary and secondary research. Sysrev was develope...
Main Authors: | Thomas Bozada, James Borden, Jeffrey Workman, Mardo Del Cid, Jennifer Malinowski, Thomas Luechtefeld |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-08-01
|
Series: | Frontiers in Artificial Intelligence |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2021.685298/full |
Similar Items
-
Development, testing and use of data extraction forms in systematic reviews: a review of methodological guidance
by: Roland Brian Büchter, et al.
Published: (2020-10-01) -
Still moving toward automation of the systematic review process: a summary of discussions at the third meeting of the International Collaboration for Automation of Systematic Reviews (ICASR)
by: Annette M. O’Connor, et al.
Published: (2019-02-01) -
Moving toward the automation of the systematic review process: a summary of discussions at the second meeting of International Collaboration for the Automation of Systematic Reviews (ICASR)
by: Annette M. O’Connor, et al.
Published: (2018-01-01) -
Frequency of data extraction errors and methods to increase data extraction quality: a methodological review
by: Tim Mathes, et al.
Published: (2017-11-01) -
Novel tools and methods for designing and wrangling multifunctional, machine-readable evidence synthesis databases
by: Neal R. Haddaway, et al.
Published: (2021-02-01)