SciSpace Academy

Level: Intermediate · 5 lessons

Research Data Analysis with AI in 5 Lessons

Analyse data reliably with AI support: core workflows, a tutorial series, an expert analysis workflow, ethical qualitative analysis and working with open research data.

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Lessons

  1. How to Analyze Research Data with AI: A Reproducible WorkflowEN42 min
    Lesson 1Tutorial

    How to Analyze Research Data with AI: A Reproducible Workflow

    In SciSpace, AI can accelerate data inspection, code generation, visualization, and reporting, but the research question and study design should determine the method. Begin with a data dictionary and a written analysis plan, inspect quality problems before modeling, record every transformation, test assumptions, and verify results against the data and code before drawing conclusions.

  2. EN
    Lesson 2Tutorial

    AI Data Analysis for Researchers: A Tutorial Series

    Use the SciSpace data-analysis tutorial series to move from a research question and data dictionary through quality checks, preprocessing, analysis, visualization, and interpretation. Decide the method before generating code, document every change, test assumptions, and retain a reproducible record that another researcher can inspect.

  3. From Data to Insight: Research Data Analysis with SciSpace AIEN
    Lesson 3Tutorial

    From Data to Insight: Research Data Analysis with SciSpace AI

    In SciSpace, a reproducible analysis should let another researcher reconstruct every transformation, method, and result. Provide the study design, data dictionary, versioned dataset, and analysis plan; generate code in reviewable stages; inspect diagnostics and assumptions; run sensitivity checks; and save the code, outputs, and decision log together.

  4. Using AI in Qualitative Research Data Processing, EthicallyEN36 min
    Lesson 4Tutorial

    Using AI in Qualitative Research Data Processing, Ethically

    When using SciSpace in qualitative research, AI may assist with organization and tentative coding only when consent, ethics approval, data protection, and interpretive context are protected. De-identify material, limit access, preserve reflexive notes, review every theme against the source data, and disclose the tool’s role without outsourcing interpretation.

  5. How to Find, Analyse and Communicate Open Research Data with AIEN
    Lesson 5Tutorial

    How to Find, Analyse and Communicate Open Research Data with AI

    Use SciSpace to find and analyze open research data only after checking fitness for purpose. Confirm that the dataset matches the variables, population, timeframe, and granularity required by the question; review the license and documentation; inspect missingness and bias; analyze reproducibly; and cite the dataset and limitations.

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Use case: Data analysis