Matches in Nanopublications for { ?s ?p "Provenance descriptions can for instance be implemented following community specific templates according to the PROV-Template (https://provenance.ecs.soton.ac.uk/prov-template/) approach. These templates allow to predefine the structure of the intended collection of provenance information using variables which are later instantiated with appropriate data extracted from existing process output. Such templates also reduce the burden on community members to deeply understand the highly structured PROV ontology, and the well-defined data structures that emerge from its use - that is to say, PROV should not be treated as a simple vocabulary from which terms can be selected, but rather as a model that constrains how those terms must be used in relation to one another. Several early tools are under development to make the construction of FAIR metadata easier, including for instance CEDAR (https://more.metadatacenter.org/tools-training/outreach/cedar-template-model), CASTOR (https://www.castoredc.com/for-researchers/) and the knowledge models in the Data Stewardship Wizard (https://ds-wizard.org, doi:10.1162/dint_a_00043)." ?g. }
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- R1.2-Explanation implementation-examples "Provenance descriptions can for instance be implemented following community specific templates according to the PROV-Template (https://provenance.ecs.soton.ac.uk/prov-template/) approach. These templates allow to predefine the structure of the intended collection of provenance information using variables which are later instantiated with appropriate data extracted from existing process output. Such templates also reduce the burden on community members to deeply understand the highly structured PROV ontology, and the well-defined data structures that emerge from its use - that is to say, PROV should not be treated as a simple vocabulary from which terms can be selected, but rather as a model that constrains how those terms must be used in relation to one another. Several early tools are under development to make the construction of FAIR metadata easier, including for instance CEDAR (https://more.metadatacenter.org/tools-training/outreach/cedar-template-model), CASTOR (https://www.castoredc.com/for-researchers/) and the knowledge models in the Data Stewardship Wizard (https://ds-wizard.org, doi:10.1162/dint_a_00043)." assertion.