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Research Data Management (RDM)

Collecting personal data

When collecting personal data, you need to have a legal basis for doing so and provide privacy notice to your participants. More information, see 3. Ask for consent and provide privacy notice.

Transcribing qualitative data

Hanken’s video platform Panopto can be used for transcribing research data, for both audio files and video files. The transcription is generated automatically by an AI service, which means that it is not perfect but using this service can significantly speed up transcription of research data. Hanken has made data management agreements with Panopto, so that you can use this service in accordance with the data security requirements and data protection regulations. Please note that you are nonetheless responsible for not sharing the research data in Panopto with anyone else.

Follow the instructions in the following PDF file carefully or watch the video "Transcribing research data with Panopto":

  •  Video: Transcribing research data with Panopto, by Mikaela Krohn:

Data formats and organizing

Research data exist in many different forms. It is recommended to use standard, interchangeable, and non-proprietary data formats to ensure data reusability.

It is also recommended that data files are clearly named, well-organised, and version controlled throughout the research:

  • Create a brief and meaningful system for file names at the beginning of the project. Do not use the same name twice for data files.
  • Sensible file names and well-organised folder structures make it easier to find and keep track of data files for both others and yourself.
  • Keep the balance between shallow and deep folder hierarchy, so data files are fitly located and easily findable.
  • A clear folder system helps also in access control if you work with (sensitive) personal data or confidential data.
  • Version control makes it possible to return to an older version of a specific file.
  • Write a readme file to provide information about the data files to ensure that they can be interpreted correctly. See Metadata and data documentation.

Learn more about the best practices in naming and and structuring your data: