Your browser doesn't support javascript.
loading
Ten simple rules to make computable knowledge shareable and reusable.
Conte, Marisa L; Boisvert, Peter; Barrison, Philip; Seifi, Farid; Landis-Lewis, Zach; Flynn, Allen; Friedman, Charles P.
Afiliación
  • Conte ML; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
  • Boisvert P; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
  • Barrison P; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
  • Seifi F; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
  • Landis-Lewis Z; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
  • Flynn A; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
  • Friedman CP; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
PLoS Comput Biol ; 20(6): e1012179, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38900708
ABSTRACT
Computable biomedical knowledge (CBK) is "the result of an analytic and/or deliberative process about human health, or affecting human health, that is explicit, and therefore can be represented and reasned upon using logic, formal standards, and mathematical approaches." Representing biomedical knowledge in a machine-interpretable, computable form increases its ability to be discovered, accessed, understood, and deployed. Computable knowledge artifacts can greatly advance the potential for implementation, reproducibility, or extension of the knowledge by users, who may include practitioners, researchers, and learners. Enriching computable knowledge artifacts may help facilitate reuse and translation into practice. Following the examples of 10 Simple Rules papers for scientific code, software, and applications, we present 10 Simple Rules intended to make shared computable knowledge artifacts more useful and reusable. These rules are mainly for researchers and their teams who have decided that sharing their computable knowledge is important, who wish to go beyond simply describing results, algorithms, or models via traditional publication pathways, and who want to both make their research findings more accessible, and to help others use their computable knowledge. These rules are roughly organized into 3 categories planning, engineering, and documentation. Finally, while many of the following examples are of computable knowledge in biomedical domains, these rules are generalizable to computable knowledge in any research domain.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Biología Computacional Límite: Humans Idioma: En Revista: PLoS Comput Biol / PloS comput. biol / PloS computational biology Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Biología Computacional Límite: Humans Idioma: En Revista: PLoS Comput Biol / PloS comput. biol / PloS computational biology Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos