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@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix nt: <https://w3id.org/np/o/ntemplate/> .
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@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix fair: <https://w3id.org/fair/principles/terms/> .
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@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix dsm: <https://w3id.org/spaces/fairplus/r/dsm/> .

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sub:assertion {
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    dct:description "This is a data-related requirement that is a pre-requisite for the 'accuracy' of metadata that FAIR principle (R1) refers to. This requirement is borrowed from one of the key Tidy Data Principles, which states that each column/field should be a single variable. This prevents the often seen scenario in structured data whereby a single column header might carry values for more than one variable. For example, 'temperature_screening', 'temperature_followup', each column implicitly carries the value for a visit variable and a value for an observation temperature in this case. This indicator therefore requires the data manager to split these variables into two fields: One per variable that is a field for temperature and a field for visit. This is a pre-requisite to DSM-2-C5 and DSM-2-C6 since each Dataset Field is expected to control its terms and create a local dictionary. Unless individual concepts are reported per Dataset Field it will not be possible to find suitable terms that can later be standardised for level 3.";
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    dsm:indicatorCode "DSM-2-C2";
    dsm:relatedFAIRPrinciple fair:R1;
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