Micropublication: incentivizing community curation and placing unpublished data into the public domain
Autor: | Daniela Raciti, Karen Yook, Paul W. Sternberg, Todd W. Harris, Tim Schedl |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Biomedical Research Scope (project management) Databases Factual business.industry Computer science Process (engineering) Public domain Data science Scholarly communication General Biochemistry Genetics and Molecular Biology Task (project management) Metadata 03 medical and health sciences 030104 developmental biology Accountability Humans Original Article Periodicals as Topic General Agricultural and Biological Sciences business Publication Data Curation Information Systems |
Zdroj: | Database: The Journal of Biological Databases and Curation |
ISSN: | 1758-0463 |
Popis: | Large volumes of data generated by research laboratories coupled with the required effort and cost of curation present a significant barrier to inclusion of these data in authoritative community databases. Further, many publicly funded experimental observations remain invisible to curation simply because they are never published: results often do not fit within the scope of a standard publication; trainee-generated data are forgotten when the experimenter (e.g. student, post-doc) leaves the lab; results are omitted from science narratives due to publication bias where certain results are considered irrelevant for the publication. While authors are in the best position to curate their own data, they face a steep learning curve to ensure that appropriate referential tags, metadata, and ontologies are applied correctly to their observations, a task sometimes considered beyond the scope of their research and other numerous responsibilities. Getting researchers to adopt a new system of data reporting and curation requires a fundamental change in behavior among all members of the research community. To solve these challenges, we have created a novel scholarly communication platform that captures data from researchers and directly delivers them to information resources via Micropublication. This platform incentivizes authors to publish their unpublished observations along with associated metadata by providing a deliberately fast and lightweight but still peer-reviewed process that results in a citable publication. Our long-term goal is to develop a data ecosystem that improves reproducibility and accountability of publicly funded research and in turn accelerates both basic and translational discovery. Database URL: www.micropublication.org |
Databáze: | OpenAIRE |
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