You can protect the scientific integrity of your study by consistently monitoring the data entry process, i.e., documenting who enters or modifies a particular data element at what location and time. This is mandatory for clinical trials. In addition, it is advisable to implement a method for validating the data after initial entry.
You should preferably store data entry 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 addition, it is advisable to implement a method for validating and cleaning the data after initial entry and to decide when a dataset will be locked for the start of analysis. This may be done by having a second person check entered data, producing data quality reports, extensive internal consistency logic, double data entry, or by comparing the data with the primary source (e.g., an electronic patient file).
Make sure that you perform data quality checks during and after collecting data.
Basic quality evaluation rules are: