Table 5.

This rubric (Hodson et al., 2018) organizes the 15 FAIR principles (Applicable principles) into a hierarchical table according to how easy they are to achieve, starting from a basic core (Summary) and rates data according to level of compliance, from 1 to 4 * (Rating). We provide an evaluation of the NPO/NPOKB against these principles in column 4

Rating	Summary	Applicable principles	NPO/NPOKB
*	The basic core: metadata, PID & access	F2. data are described with rich metadata F1. (meta)data are assigned a globally unique and persistent identifier A1. (meta)data are retrievable by their identifier using a standardized communications protocol	• F2: Full descriptive metadata for the ontology are included in the.ttl file. Metadata for the datasets and code are included in Pypi from setup.py, Zenodo, MIRO; The NPOKB includes complete authoring metadata • F1: All datasets referenced in this paper have been assigned DOIs • F1. The NPOKB is assigned a unique identifier (RRID) RRID:SCR_017403 • A1. RRIDs are resolvable through identifiers.org: https://identifiers.org/RRID:SCR_017403 and through the SciCrunch Registry resolver service: https://scicrunch.org/resolver/RRID:SCR_017403 by the Neuroscience Information Framework and dkNET
**	Enhanced access: catalogues for discovery, standard (controlled) access & licences	F4:. (meta)data are registered or indexed in a searchable resource A1.1. the protocol is free, open and universally implementable A1.2. the protocol allows for an authentication and authorization procedure, where necessary R1.1. (meta)data are released with a clear and accessible data usage license	• F4: All python code is available via pypi. ebuilds for Gentoo are available from tgbugs-overlay • F4. The NPO is registered in BioPortal and in the SciCrunch Registry (RRID:SCR_017403) • A1.2 API access is provided via Bioportal and also via SciGraph maintained by the Neuroscience Information Framework and dkNET • R1.1 The NPO is covered under a CC-BY 4.0 license
***	Use of standards: for metadata and data	I1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation R1.3. (meta)data meet domain relevant community standards F3: metadata clearly and explicitly include the identifier of the data it describes	• I1: The ontology is built in OWL2, a recognized standard for ontologies • R1.3: The phenotype bags are built out of terms from community standard ontologies • F3: All terms are defined by a URI as well as a compact identifier
****	Rich, FAIR metadata	R1. (meta)data are richly described with a plurality of accurate and relevant attributes I2. (meta)data uses vocabularies that follow FAIR principles	• R1: The ontology has complete metadata associated with it • I2: The NPO has been designed in accordance with the FAIR principles. Documentation • I2: The NPO/NPOKB imports relevant community vocabularies (see Table 1) that adhere to the FAIR principles
*****	Provenance and additional context	R1.2 (meta)data are associated with data provenance I3. (meta)data include qualified references to other (meta)data A2. metadata are accessible, even when the data are no longer available	• R1.2: References that support assertions are included in the annotations although unfortunately OWL does not provide an easy way to annotate specific triples •!3: I2: The NPO/NPO-KB imports relevant community vocabularies (see Table 1) that adhere to the FAIR principles • A2: The NPO and associated tools have been registered with the SciCrunch Registry, which maintains metadata pages for similar resources. They ensure that their metadata is accessible even if the resource is no longer available