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Study phase:
Dimension:
46
A comprehensive data dictionary is available for end users.
Examples

1: Database platform has feature for export of CRF field definitions and schema of table relations.

2: Dictionary has annotations as needed to provide guidance on coding decisions.

3: Dictionary cites primary sources where appropriate for uniform data collection (e.g., NINDS TBI CDEs) 

Study phase:
Dimension:
44
The version lock-down of the database for data entry is clearly specified.
Examples

1: Criteria in place for closing and locking eCRFs in the database. 

Study phase:
Dimension:
43
Known/emergent issues with the data dictionary are documented and reported in an accessible manner.
Study phase:
Dimension:
35
Automated variable transformations are documented and tested before implementation and if modified.
Examples

1: For example, testing is carried out if fields such as ‘years of education’ and ‘level of education’ are automatically combined into a new variable summarising educational status.

2: Coding is tested on a subset of data, ideally by multiple members of the study team.

3: There is a centralised log / version management of all transformations used. 

Study phase:
Dimension:
27
Data are provided in a form that is unambiguous to researchers.
Examples

1: Table and study form fields relationships are clearly identified in the data dictionary. 

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. 

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