Dataset: Collaborative Framework Evaluation for Remote Health Data Science Research (CRISP-DM, Pair Programming, and CSCW)
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This dataset supports the evaluation of a collaborative framework for remote health data science research that integrates CRISP-DM, pair programming, and Computer-Supported Cooperative Work (CSCW) principles. The dataset contains adherence assessments for pair programming and CSCW practices (Awareness, Synchronous Communication, Asynchronous Communication, Coordination, Shared Artifacts) across the six CRISP-DM phases (Research/Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment) for 15 projects in diverse clinical domains, including mental health, neurological diseases, infectious diseases, oncology, rare diseases, substance dependence, pediatrics, ophthalmology, and health education. Each project entry includes: publication reference, date, DOI, digital tools used, and adherence ratings (Low, Moderate, High) for each collaborative dimension per CRISP-DM phase.



