This level of maturity is defined at community level. The data at this level complies with community standard domain models, terminologies and formats, and is hosted in an environment offering searching and retrieval capabilities.
Example
Level 3 compliant datasets are generally deposited in a community-specific data portal such as ImmPort for immunology research data, ENA for sequencing data or BioModels for mathematical models of biological and biomedical systems. Such repositories usually have a defined data model adapted to the needs of the domain or community and that defines the minimum metadata that needs to be collected, links between data types or data objects, where applicable, and domain-relevant terminologies and ontologies with which data and metadata should be annotated.
Conformance to a well-defined community model such as the ImmPort one shown below is essential for the integration of different datasets in the same domain.
If applicable, study-level / experimental metadata is reported in compliance with relevant Standard Minimum Information Reporting Guidelines
Maturity Level
3
Category
Content and Context
Granularity Level
Project/Study
Description
This is a metadata-related requirement focusing on standardisation of context and domain representation. Minimum information standards are sets of guidelines and formats for reporting data derived by specific high-throughput methods. Their purpose is to ensure the data generated by these methods can be easily verified, analysed and interpreted by the wider scientific community
Related DSM Indicator
Related FAIR Principle
R1.3. (Meta)data meet domain-relevant community standards
If applicable, Dataset(s) content is reported in compliance with relevant community-defined Data Reporting Guidelines
Maturity Level
3
Category
Content and Context
Granularity Level
Dataset
Description
This is a data-related requirement focusing on standardisation of the type and definition of Dataset(s) that should be reported for a given subject-area or a study type. Minimum information standards are sets of guidelines and formats for reporting data derived by specific high-throughput methods. Their purpose is to ensure the data generated by these methods can be easily verified, analysed and interpreted by the wider scientific community
Related DSM Indicator
Related FAIR Principle
R1.3. (Meta)data meet domain-relevant community standards
This is a data-related requirement focusing on the standardisation of the terminologies used within and across related Datasets. This indicator focuses on the set of data values for a given dataset field. To promote interoperability and enable the hosting environment to carry out cross-study queries, dataset textual field values should be standardised against community-standard controlled terminology or ontologies.
Related F+MM Indicator
DSM-3-C5
Related FAIR Principle
I2. (Meta)data use vocabularies that follow FAIR principles, R1.3. (Meta)data meet domain-relevant community standards
This is a metadata-related requirement related to F+MM-3.C4. Dataset Field Values are expected to use standard terminology that are defined and described by other external resources. This indicator requires that for each term used a reference to its external definition is included in either the dataset itself (e.g. as a separate related field) or in a metadata record as specified by the Dataset Exchange Model if applicable.
Related DSM Indicator
DSM-3-C4
Related FAIR Principle
I2. (Meta)data use vocabularies that follow FAIR principles, I3. (Meta)data include qualified references to other (meta)data
For each dataset, the hosting environment provides a permanent and persistent address containing its unique identifier for access and retrieval.
Maturity Level
3
Category
Hosting Environment related requirements
Capability
Storage
Description
This indicator is about the resolution of the identifier that identifies the dataset. The hosting environment should assign a persistent identifier to the dataset and associate it with a formally defined retrieval/resolution mechanism for dataset access and retrieval.
Related DSM Indicator
Related FAIR Principle
F1. (Meta)data are assigned a globally unique and persistent identifier.
Hosting environment offers Data Discovery capability
Maturity Level
3
Category
Hosting Environment related requirements
Capability
Searching Capability
Description
This indicator requires the hosting environment to offer enhanced data discovery capabilities. This can be achieved by linking multiple related datasets through an implementation of a common domain model (DSM-3-R1), which allows users to search and find contextually-related datasets. Datasets at this level are expected to use annotated and described standardised Dataset Fields (DSM-3-R2) and their content to use standardised value terms and concepts (DSM-3-C2). The hosting resource should therefore capitalise on these rich annotations and allow users to search across datasets for concepts and standard terms in their content through the use of ontology-related query expansions.
Related DSM Indicators
DSM-3-R1, DSM-3-R2, DSM-3-C2
Related FAIR Principle
F1. (Meta)data are assigned a globally unique and persistent identifier
If applicable, Dataset hosting environment offers dataset-level authentication and authorisation capabilities.
Maturity Level
3
Category
Hosting Environment related requirements
Capability
Data Retrieval
Description
This indicator requires the hosting resource to provide a more granular approach to data accessibility. A dataset level authorisation capability would allow data owners to define user-access rights per dataset rather than on a project or study based level.
Related DSM Indicator
Related FAIR Principle
A1.2 The protocol allows for an authentication and authorisation procedure, where necessary.
