ARCs come with comprehensive metadata

ARC builds on standards

https://isa-tools.org/ | https://www.commonwl.org/
https://www.researchobject.org/ro-crate/ | https://git-scm.com

ARC builds on ISA

ISA Tools: https://isa-tools.org/format/specification.html

ARC builds on ISA to connect data

ARC builds on ISA to link data

  • Samples are linked study-to-assay, assay-to-assay
  • Raw data is linked to assays
  • Protocols can be referenced
  • ...

Annotation by flattening the knowledge graph

  • Low-friction metadata annotation
  • Familiar spreadsheet, row/column-based environment

Annotation principle

  • Low-friction metadata annotation
  • Familiar spreadsheet, row/column-based environment

Adding new building blocks

Swate can be used for the annotation of isa.study.xlsx and isa.assay.xlsx files

Annotation Building Block types

  • Input (e.g. Source Name, Sample Name)
  • Protocol columns
  • Characteristic // Parameter // Factor // Component
  • Output (e.g. Sample Name, Raw Data File, Derived Data File)

Let's take a detour on Annotation Principles

Ontology term search

Enable related term directed search to directly fill cells with child terms

Fill your table with ontology terms

Hierarchical combination of ontologies

Checklists and Templates

Metadata standards or repository requirements can be represented as templates

Realization of lab-specific metadata templates

Facilities can define their most common workflows as templates

Directly import templates via Swate

  • DataPLANT curated
  • Community templates