When collecting personal data, it is important to inform your research participant of how their data is processed. This is a crucial part of the principle of transparency as set out in the General Data Protection Regulation of the European Union (GDPR). Research participants should obtain the information from you about how their personal data are being collected, used, stored, disseminated, or otherwise processed. For more information see Informing research participants about the processing of their personal data by Finnish Social Science Data Archive (FSD).
You need consent when quoting a person directly. In your written paper, credit both the original and the secondary sources. This means you need to cite both the original and secondary sources in in-text citations within the paper, and cite only the secondary source in your reference list at the end of the paper.
Proceed as follows when collecting personal data:
This applies when you collect secondary data from online forum/social media and you need to ensure that data processing is fair to all the data subjects involved, and that their fundamental rights are respected in compliance with ethical and privacy principles and relevant terms and conditions of the platform. When applicable, the DPO’s contact details ought to be given to the data subjects involved in the collection and processing of the data from online forum/social media.
Give your/the researcher's name and email address to the research participants in case they have any questions. In case of complaints, they can contact the Data Protection Officer of Arcada dataprotection@arcada.fi.
Templates:
Recorded interviews are usually materials associated with the base information security level (restricted).
Increased security level (confidential) is required:
The following rules apply when recording interviews:
Research data exist in many different forms. It is recommended to use standard, interchangeable and non-proprietary data formats to ensure data reusability.
Data files ought to be named clearly, well organized, and version controlled throughout the research:
Learn more about the best practices in naming and structuring your data: