What is finest data. The following ten principles constitute a personal data management policy. Data management. Principle 1 – Responsibility. The department is responsible for the processing of personal data that it directly or indirectly uses in France and abroad. As a result, he must strictly comply with the law on the protection of personal data, as well as the RGPD. In accordance with the requirements of the law, he must perform all the formalities necessary for the processing of personal data, regardless of whether this data relates to his users or agents. Principle 2 – Determining the purpose of collecting personal data.
The department determines the purposes for which it collects personal data. Data is collected for specific, explicit and legitimate purposes and is not further processed in a manner incompatible with these purposes; subsequent processing for archival purposes in the public interest, for scientific or historical research or for statistical purposes is not considered, in accordance with the clause of the article, incompatible with the original objectives (limitation of purpose).
Principle 3 – Transparency and legality of the collection. The Department does not collect personal data without the knowledge of interested parties. Similarly, the Department does not collect personal data when interested parties legally oppose this. Data is collected legally in accordance with article.
The department provides the data subjects from whom they collect their personal data, information about the purposes of processing, the identity of the controller, and the database. circulation, shelf life and degree of their rights in accordance with the articles. Principle 4 – Limitations on the collection of personal data and data quality. The department is limited to collecting only personal data necessary to achieve the stated goals. Data is adequate, relevant and limited by what is needed for the purpose for which it is being processed (data minimization).
The data provided by users must be accurate, and, if necessary, the Department will take all necessary and reasonable measures to update them. Principle 5 – Restriction of the storage of personal data. The Department ensures the updating of personal data processed by it in compliance with the intended goals. Shelf life should not exceed those necessary to achieve the intended goals.
These storage periods are either set by departmental archives or archives of France, or indicated in legislative and / or regulatory texts. These durations or elements that allow them to be determined are communicated to users. Principle 6 – Physical and logical security of personal data. The Department defines and implements the means necessary to protect personal data processing systems in order to prevent any malicious intrusion and prevent any loss, alteration or disclosure of data to unauthorized persons. The Department defines and implements security measures to ensure data confidentiality: article of the Data Protection Act. The Department requires that its contractors and partners provide sufficient guarantees to ensure the security and confidentiality of personal data (signing confidentiality provisions).
Principle 7 – Violation of personal data. In the event of a security breach, the Department must notify the supervisor within 72 hours and must document all elements related to the breach. If a violation of personal data can create a high risk for the rights and freedoms of an individual, the controller must report the violation of personal data to the data subject as soon as possible. Article – Notification of the supervisor about the hacking of personal data Article – Message to the data subject about hacking of personal data.
In this section, we first introduce the main ways of collecting primary data that can be used in qualitative research. The collection of primary data cannot be a simple discrete step in a research program, especially in qualitative studies that require a long field study. Therefore, managing the situation of interaction between the researcher and the subjects of the data source takes on an important dimension. The whole complexity of the research is not to ignore the researcher (himself), but to qualify and control the researcher’s presence in the collection device. It is precisely the consequences of managing primary data sources for qualitative research that we will then be interested in. We conclude this section by introducing some approaches and approaches to managing primary data sources.