Although biomedical research is experiencing a data explosion, the accumulation of vast quantities of data alone does not guarantee a primary objective for science: building upon existing knowledge. Data collected that lack appropriate metadata …
Today, we are releasing DataCite’s first public data file with metadata for over 52 million DOIs.
Journal authorship practices have not sufficiently evolved to reflect the way research is now done. Improvements to support teams, collaboration, and open science are urgently needed.
Data Carpentry Genomics workshop lesson to learn how to structure your metadata, organize and document your genomics data and bioinformatics workflow, and access data on the NCBI sequence read archive (SRA) database. Good data organization is the …
This checklist is intended to help scientists, reviewers, and editors prepare and assess manuscripts for inclusion of critical details relevant to work with pluripotent stem cells (PSCs) and tissue stem cells (TSCs) with the goal of increasing the …
Research data is accumulating rapidly and with it the challenge of fully reproducible science. As a consequence, implementation of high-quality management of scientific data has become a global priority. The FAIR (Findable, Accesible, Interoperable …
The GO FAIR Foundation's FAIR Capacity Building Programme provides professional and qualified training for data stewards who aspire to use methods developed under the Three-Point FAIRificaiton Framework (3PFF) in their daily work to make data and …
When the scientific dataset evolves or is reused in workflows creating derived datasets, the integrity of the dataset with its metadata information, including provenance, needs to be securely preserved while providing assurances that they are not …