
bio.tools
Specialised registry assigning persistent identifiers to research software and services for discovery and reuse.
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Currently captures credit for
- Research Software Code Repository (Software)
- Software Package (Software)
Credit-capture infrastructure
The platforms that turn output-level effort into machine-readable, citable credit — from persistent identifiers to granular contribution tracking to aggregated researcher profiles.
Essential
The baseline layer without which non-traditional outputs cannot be credited at all: platforms that give an output its first persistent, discoverable identity, and systems that surface that identity as part of a researcher's formal academic profile.
These platforms provide the initial repository registration for NTOs and assign the unique persistent identifiers (PIDs) necessary for their discovery, metadata hosting, and subsequent citation.

Specialised registry assigning persistent identifiers to research software and services for discovery and reuse.

Web-based tool for authoring, sharing, and publishing Data Management Plans against funder-specific templates, giving the DMP itself a hosted, citable record.

ELIXIR-recommended portfolio of trustworthy public deposition databases for biomolecular data, giving submitted datasets a discoverable, FAIR-compliant home with standardised metadata.

Platform for discovering and registering life-science training materials and events.

Curated registry of data and metadata standards, databases, and repositories, giving each a discoverable, citable record independent of where the underlying data is hosted.
Version-controlled code hosting; the primary home for research software repositories prior to archival/PID assignment.
Open-source, journal-independent platform for publishing community reviews of preprints, giving each review a citable, publicly discoverable record tied to the reviewer's ORCID.

Archives public source code at scale and assigns permanent SWHIDs (an ISO/IEC-standardised identifier scheme), preserving research software even after its original hosting location disappears.

Registry for computational workflows, providing citable, versioned identifiers.
General-purpose repository issuing DOIs for datasets, software releases, training materials, and reports.
These systems aggregate data from primary NTO repositories, enriched metadata services, and active tracking platforms to comprehensively host and represent PID-associated NTOs — translating granular research activity into meaningful, human-readable profiles suitable for formal academic assessment.

Aggregates credit-relevant data into metadata-rich, human-readable researcher profiles tailored to discipline/contribution type.
Profiles are generated automatically from OpenAIRE Graph data for any researcher with a discoverable output record — no registration or manual curation required, but coverage is limited to what's already indexed upstream.
Persistent researcher identifier used to link contributions of any kind back to an individual across systems.
Free for researchers to register and keep for life; once linked, it works passively — connected publishers, funders, and repositories push updates to the profile automatically without further manual entry.
Intermediary
The layer that sits between raw publishing and the researcher's profile: aggregating records to avoid double-counting, enriching them with quality context, tracking granular ongoing labour, and providing the shared vocabularies that let all of the above interoperate.
Aggregation services merge PID-assigned NTO metadata from diverse repositories into a unified, searchable knowledge graph — essential for deduplicating records to prevent double-counting across platforms, so that clean, verified data feeds into academic profiling systems.

Merges PID-assigned research output information from diverse sources into a single, searchable knowledge graph.
Free and openly queryable via API or bulk dataset download; nothing to register. Coverage depends entirely on upstream infrastructure, though — a record only appears once its source repository already exposes a compatible PID and metadata.
These services enrich basic NTO metadata by appending missing annotations, such as specific topics or technical performance indicators — contextual enrichment that is crucial for establishing the qualitative value of NTOs and helping to prevent a quantity-over-quality assessment model.

Adds impact-related annotations (e.g. topics, influence indicators) to research outputs.
Free API and bulk downloads keyed by DOI, usable by any service that can look up a DOI — no account needed. Indicators are only computed for outputs that already have a DOI and an established citation trail.

Adds software quality and benchmarking performance indicators to research software entries.
Free to use, but enrichment isn't automatic on sign-up: a tool needs to be registered in bio.tools and its maintainers need to opt it into a benchmarking community/challenge before performance indicators appear.
Active tracking platforms capture granular NTO contributions at scale through dynamic recognition models — essential for recording vital, ongoing research labour (e.g. curation) that holds significant aggregate value but remains entirely invisible within publications.

Captures granular biocuration and annotation events using a dynamic model of entity, activity, agent, and timeline, with badges/leaderboards for visibility. Resources can also register new curation activities directly on the platform, giving it a registration role alongside its tracking function.
Free and open source, but not self-service for end users: a database has to implement APICURON's reporting API to log its curation events before any of its individual curators can be credited, so it requires integration work on the data provider's side first.
Structured ontologies and fixed vocabularies provide the essential semantic foundation for system interoperability, enabling highly granular, machine-readable specifications so data flows cohesively between credit-capture platforms. A major gap remains, however: dedicated NTO ontologies barely exist yet.

NISO-standardised taxonomy of contributor roles providing the shared, machine-readable vocabulary that lets credit-capture platforms describe contributions consistently.
Free, open taxonomy — not a platform to register with. It only takes effect where a journal or submission system has integrated it into its workflow, so applicability depends on adoption upstream, not on the individual contributor.
Propose a platform that captures credit for a non-traditional output type, under the relevant category, or suggest a correction to an existing entry.
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