You can protect the scientific integrity of your study by: continually documenting the data entry process (i.e., 'who enters or modifies a particular data element at what location and time'; this is mandatory for clinical trials); implementing a method for validating your data after initial entry.
A terminology is a standardised list of terms that are used in a particular domain. The terms are organised by concept. There are different types of terminologies:
You should preferably store this information within the software that you are using. Many software packages do this automatically in the so-called audit trail.
An audit trail is mandatory for clinical trials. In other cases you can ask your UMC's experts for lists of minimal requirements.
You can protect the quality of your study by implementing one of the following validation methods:
Make sure you perform data quality checks before, during, and after your data collection.
Basic quality check rules are:
If you have a large number of files or very large files, you should keep a master list with critical information. Your master list should be properly versioned, so that all changes are registered over time along with their reason, and so that everyone in the project agrees on what is the latest information.
We recommended storing your raw data and all versions after meaningful processing steps that you cannot easily repeat. At least store the raw data that you use as the basis for your publications, including the descriptions of how you obtained this data and how you processed them (metadata). Ensure that it is clear which metadata describes which data.