ClinicalSurveys.net - Privacy
Privacy statement and legal disclaimer
All data must be provided under strict attention to local privacy laws. Furthermore, according to privacy laws of Nordrhein-Westfalen, where this database is currently being kept, you are not allowed to keep a key-list allowing re-identification of a pseudonymized patient without written informed consent by that patient. Local laws may demand review of the study protocol by the local ethical review board as well as other public or local authorities. Please note that we cannot take any responsibilty for any of the data sent to ClinicalSurveys.net. Clinical data contains detailed and delicate information about real people, it is therefore strictly forbidden to submit ANY data allowing direct conclusions about the actual person behind the clinical case. Instead, provide some kind of unique identifier (not the patients initials!).
Submitted data may be accessed only by the contributant, the site administration, and the researcher behind the respective survey. It cannot be viewed or changed by other participants of the survey. The same is true for any information about the site members; any details provided during registration may be accessed only by the site administration and the researchers behind the respective surveys for querying and billing purposes.
ClinicalSurveys.net merely provides a platform and documentation system for non-interventional trials. The full responsibility for the trial conduction, data safety and investigator compensation remains in the hands of the study's prinicipal investigator.
Data processing and safety
Access to the database is secured by up-to-date security technology. Regular backups of the site and its' data guarantee availability and safety of surveys and survey data. User roles allow different levels of security permissions.
Good Epidemiology Practive
In concordance with the guidelines for Good Epidemiology Practive by the International Epidemiological Society, complete audit trailing is currently not supported. However, the original dataset always remains unchanged by later statistical processing. Timestamps allow quick overview, which parts of a dataset have been changed by its' owner at a later time. Regular backups will also allow a certain amount of trailing changes made to a dataset by its' owner.