The open source ISA metadata tracking tools help to manage an increasingly diverse set of life science, environmental and biomedical experiments that employ one or a combination of technologies.
Built around the ‘Investigation’ (the project context), ‘Study’ (a unit of research) and ‘Assay’ (analytical measurement) general-purpose data model and serializations (tabular, JSON and RDF), the ISA tools help you to provide rich description of the experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships) so that the resulting data and discoveries are reproducible and reusable.
collect and curate, following standards
Describe the experimental steps using community-defined minimum reporting requirements and ontologies, where possible.
store and browse, locally or publicly
create your own repository to search and browse the experimental description and associated data making it close or open.
submit to public repositories
when required, reformat the experiments for submission to supported public repositories or directly export to those already using ISA-Tab.
analyse with existing tools
upload experimental description and associated data to a growing number of well-known analysis systems, ISA connects with.
release, reason and nanopublish
explore how to reason over your experiments, open them to the linked data universe, or publish nano-statements of your discoveries.
publish data along your article
directly export your experiments to the new generation of data journals, accepting submission in ISA-Tab.