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A behind‐the‐scenes tour of the IEDB curation process: an optimized process empirically integrating automation and human curation efforts
Author(s) -
Salimi Nima,
Edwards Lindy,
Foos Gabriele,
Greenbaum Jason A.,
Martini Sheridan,
Reardon Brian,
Shackelford Deborah,
Vita Randi,
Zalman Leora,
Peters Bjoern,
Sette Alessandro
Publication year - 2020
Publication title -
immunology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.297
H-Index - 133
eISSN - 1365-2567
pISSN - 0019-2805
DOI - 10.1111/imm.13234
Subject(s) - process (computing) , data curation , computer science , data science , categorization , identification (biology) , resource (disambiguation) , quality (philosophy) , digital curation , automation , knowledge management , engineering , world wide web , biology , artificial intelligence , ecology , mechanical engineering , computer network , philosophy , epistemology , operating system
The Immune Epitope Database and Analysis Resource (IEDB) provides the scientific community with open access to epitope data, as well as epitope prediction and analysis tools. Herein, we provide insights into an objective analysis of our data identification, categorization, curation and quality‐checking processes. These experiences are shared as a case study of the benefits of process implementation and review in biomedical big data, as well as to encourage idea‐sharing among players in this ever‐growing space.