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STATUS: FUTURE WORK

Short description 

FAIR (meta)data requires globally unique and persistent identifiers (principle F1). Such identifiers remove ambiguity in the meaning of your data by assigning a unique identifier to every element of metadata and every concept/measurement in your dataset [GOFAIR_F1]. In this context, an identifier consists of an internet link, such as a URL, which can be resolved. Identifiers can help both humans and computers interpreting your data.  

Existing identifiers can be reused, or new identifiers can be created (minted) if necessary. Often locally unique identifiers are used, which can be transformed into globally unique identifiers using namespaces [FCB016].  

Equivalence between identifiers are presented in mappings. Such a mapping can, for example, be a tsv file with two columns, one per dataset, with each row representing two equivalent concepts, or can adhere to the Simple Standard for Sharing Ontology Mapping standard [SSSOM]. 

Furthermore, many specialised identifier services exist, which can help map from one identifier to another. BridgeDB, for example, is a framework to map identifiers between various biological databases and related resources [BRIDGEDB]. It provides mappings for genes, proteins, metabolites, metabolic reactions, diseases, complexes and publications. 

How to 

[FAIRInAction]: Select the identifier scheme 

  • Identifier Minting: How to create unique, persistent and resolvable identifiers  

    • FCB006: Unique, persistent identifiers 

    • FCB007: InChI and SMILES identifiers for chemical structures 

    • FCB008: Minting identifiers with Minid 

    • FCB077: Creating resolvable identifiers 

  • Reusing community identifiers: How to reuse existing identifiers in a dataset 

    • FCB016: Interlinking data from different sources 

    • FCB017: Identifier mapping with BridgeDb 

 

BridgeDB (API, Tutorials and Workflows, Documentation): https://www.bridgedb.org/  

 

[GOFAIR_F1] Example services that supply globally unique and persistent identifiers: 

Expertise requirements for this step 

This section could describe the expertise required. Perhaps the Build Your Team step could then be an aggregation of all the “Expertise requirements for this step” steps that someone needs to fulfil his/her FAIRification goals.  

Practical examples from the community 

This section should show the step applied in a real project. Links to demonstrator projects. 

Training

Add links to training resources relevant for this step. Since the training aspect is still under development, currently many steps have “Relevant training will be added in the future if available.”

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