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Lost in Datafication? - A Typology of (Emotion) Data Contextualization.

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Understanding context is crucial for reusing emotion research data. This study proposes a typology of contextual dimensions to improve data assessment and research practices in interdisciplinary emotion studies.

Keywords:
ContextualizationData reuseEmotion researchInterdisciplinarityTypology of contexts

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Area of Science:

  • Social Sciences
  • Psychology
  • Data Science

Background:

  • Scientific data reuse is increasing, necessitating clear contextual information for accurate interpretation.
  • Interdisciplinary emotion research generates complex data requiring robust contextualization.
  • Existing conceptualizations of context often lack specificity for empirical data reuse.

Purpose of the Study:

  • To explore the meaning and dimensions of "context" in interdisciplinary emotion research.
  • To develop a typology of contextual factors relevant to emotion data.
  • To enhance the assessment and potential reuse of scientific data in emotion studies.

Main Methods:

  • Empirical study involving 123 survey responses and 15 in-depth interviews.
  • Analysis of datafication processes within interdisciplinary emotion research.
  • Review of various contextual dimensions, including method-specific, researcher, and research object factors.

Main Results:

  • A comprehensive typology of contextual dimensions was developed, applicable across epistemological approaches.
  • Identified limitations in contextualization, including tacit knowledge, implicit knowledge, embodied emotions, and ethical considerations.
  • Findings highlight the importance of context for assessing emotion data and guiding research practice.

Conclusions:

  • The proposed typology offers a framework for emotion researchers to reflect on context and improve data reuse.
  • Further research is suggested on intercultural contexts, context integration, and specific data reuse scenarios.
  • Addressing limitations in contextualization is vital for advancing interdisciplinary emotion research.