. . . . "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." . . . . "Where applicable, the Dataset Model organises data values within a dataset according to the Tidy Data Principles" . . . . . . . "DSM-2-C2" . . . . . . "FAIRplus DSM Bot" . "2026-09-05T09:18:21Z"^^ . . . . . . "Where applicable, the Dataset Model organises data values within a dataset according to the Tidy Data Principles" . . . . . . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAur0EZ85ThsweXM0E4IAh4SCglHSV8EAYZLx+GLcV2er7SDGxlHUqwEvVvuan4Hu4LMENmzOjpLdTkJF9dVZvkTfhd6CAX3+ry0ef6qAE9M1mNMHNm43Lq7ip1MVHC+xbmTvoFDkvs9wpnddAEVPTfwS370Bi/rpvzc6v6xfWsNNl/Okk+PE2S1jvA3Qk85phqwsIwbD5P5Xk1FVPlX1sh8h4F4/Iyyy0pbmiydYj3TRFYyXp6Wr58w7vRapSgCCAw6S9p/mxZCNyVJDeEOnWbeBRfi9BQdZdvdB2AB6HBlGds4sdt2mvHGxy6uPFgiOD2r32RvCBuMkTxSBipG8UrQIDAQAB" . "J4JDJoZqSA6ckNqACyYj4ZB6U6KwNuY3Jl0LhgyvQ+6xxEgm0ZQjtnPr2iYIHXYuNLBg36Pt+W8a4Ks/gHpzXEDLt3NGyUtw5kndjWBGR03zIq2n2uGr8o9ChRC4DuvRAeam7OeRphgNAeL+nXYcYv0Z3i//wETbK4q4e9X8NeMjbnr+t0nkzxUM3LRxjSq7CzwE3kMVZTfQZ5i4S/bWxqBtDbSFCak24lKp9wfNZxJW+UszWKSePZe1WFX18dlpM873sb9E/M9Ik+rP17x3qH67J+mGVCDic4K4+2E7Ei5MNr1yPpFHpvJRO0vaMLfY83w+e9bah3R5ctv9vG09vQ==" . . .