Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
Scott Edmunds, Jesse Xiao, Hongling Zhou 2019. Quantifying how FAIR is Hong Kong: The Hong Kong Shareability of Hong Kong University Research Experiment. protocols.io https://dx.doi.org/10.17504/protocols.io.6x7hfrnCopy Citation Copied
URL: https://dx.doi.org/DOI:10.17504/protocols.io.6x7hfrn
Authors: Scott Edmunds, Jesse Xiao, Hongling Zhou
Group: BGI
Summary: Using 59 HKU students undertaking the data curation module of the Master of Science in Library and Information Management (MLIM) course taught by some of the GigaScience team, a crowdsourced literature curation exercise was carried out to assess the data availability of HKU's papers published in PLOS One and Scientific Reports journals between 2016-2018. This experiment can be continued at other institutions, and has been presented to allow a teacher of a similar course to set this up for their own students.This collection includes protocols for teachers trying to set up this exercise at a different university, and the protocol for the individual students carrying it out. Alongside a spreadsheet to input the results.
Affiliations: GigaScience/BGI Hong Kong/Bauhinia Genome, GigaScience/BGI Hong Kong, GigaScience/BGI
Version: 1
Publication Date: 2019
Expand AllComing soon.
Check
for resource mentions.
Coming soon.
Source:
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
