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Study phase:
Dimension:
20
Data collection methods are documented in study manuals that are sufficiently detailed to ensure the same procedures are followed each time.
Examples

1: Manuals compiled by multidisciplinary team of stakeholders and involve data curation expertise. For example,   Imaging studies and biospecimen collection procedures are detailed for study personnel and end-users.

2: Manuals specify how eCRF data is collected, when, by what metrics and under what conditions.

3: CRF fields have links to relevant data manual sections. 

Study phase:
Dimension:
19
Internationalisation is undertaken in a robust manner, and translation and cultural adaption of concepts (e.g. assessment tools) follows best practice.
Examples

1: Systematic approach to translation and cross-cultural validation of study material in multi-language settings.

2: Psychometric transformations considered. 

Study phase:
Dimension:
18
Extract / transform / load software for batch upload of data from other sources such as assay results should flag impossible and implausible values.
Examples

1: ETL process logged.

2: Permissible value ranges in the ETL software are study specific rather than relying on institution permissible value logic. 

Study phase:
Dimension:
17
The data entry tool does not perform rounding or truncation of entries that might result in precision-loss.
Examples

1: Where decimal places are to be limited, it should be clear to the user and prevent them from entering the value rather than a truncation performed with the user being unaware.

Study phase:
Dimension:
16
Data collection includes fields for documenting that participants meet inclusion/ exclusion criteria.
Examples

1: Avoid enrollment errors by requiring completion of a CRF with checklist confirming that eligibility criteria have been met for enrolled subjects.

2: For subjects that need to be enrolled within specific window of time there are timestamp checks in the eCRF in place to verify the eligibility window.

3: Date of birth falls within the enrollment age criteria. 

Study phase:
Dimension:
15
There is clear documentation of interdependence of CRF fields, including data entry skip logic.
Examples

1: For data entry: cells for skipped questions are closed.

2: Clear directions on CRFs for when to skip questions. 

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