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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Best practices for studies using digital data donation.

Thijs C Carrière1, Laura Boeschoten1, Bella Struminskaya1

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Summary
This summary is machine-generated.

Data donation enables researchers to ethically collect digital trace data with participant consent. This paper introduces a robust workflow to guide researchers in setting up successful data donation studies.

Keywords:
Data donationData qualityDigital trace dataLocal processingPrivacy preservation

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Area of Science:

  • Social Sciences
  • Digital Humanities
  • Data Ethics

Background:

  • Digital trace data is a valuable, expanding resource for social sciences and humanities research.
  • Data donation presents an innovative and ethical method for acquiring this data.
  • The EU's General Data Protection Regulation mandates platforms to provide users with copies of their data.

Purpose of the Study:

  • To introduce a comprehensive workflow for establishing robust data donation studies.
  • To provide practical guidelines for researchers aiming to conduct data donation research.
  • To address potential quality issues by basing the workflow on identified error sources and practical experiences.

Main Methods:

  • Development of a workflow based on the Total Error Framework for data donation.
  • Incorporation of practical insights from previous data donation studies.
  • Detailed discussion of each step in the workflow, highlighting challenges and considerations.

Main Results:

  • A structured workflow designed to enhance the quality and robustness of data donation studies.
  • Identification of critical steps and potential pitfalls in the data donation process.
  • Guidelines for researchers to navigate the complexities of setting up and executing data donation research.

Conclusions:

  • The proposed workflow serves as a foundational resource for researchers conducting data donation studies.
  • Adherence to the workflow can mitigate risks and improve the reliability of digital trace data collection.
  • This approach facilitates ethical and effective research using participant-consented digital trace data.