Reconciling Structured and Unstructured Data

Update: 2024-07-28

Description

We discuss three challenges in reconciling structured and unstructured data in research analysis.

Comments

In Channel

Upgrading Data Analysis Tools

2024-07-2803:56

Machine Learning to Summarize Research?

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Semantic Automation & Humanizing the Data

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Reconciling Structured and Unstructured Data

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Custom Dictionaries in Research

2024-07-2810:27

Semantic Automation for Research

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Academia’s Contributions

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Paying Participants For Research

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Designing for Variance (Excerpt: Different by Design)

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Advice to Young Healthcare Researchers

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Conceptual Classifications (Data Story Series)

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Self-Referential Coding as Basis for Hypothesis Testing

2023-05-0704:06

Virtual Spaces for Co-Creation Workshops - inspired by Design Studios

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Research Design & Inclusive Protocoles

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Flexibility Meets Reliability

2023-05-0703:40

Researchers as Curators (Data Story Series)

2023-05-0703:31

Two Approaches to R (Programming Language)

2023-03-1814:07

Why we categorize (Data Stories Series)

2023-03-1703:27

How Chat GPT works : A Primer

2023-03-1715:19

Frequency in Qualitative and Quantitative Research

2023-03-1619:54

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Reconciling Structured and Unstructured Data

#box-pro-ellipsis-176513226273017{-webkit-line-clamp:2;}Reconciling Structured and Unstructured Data

Reconciling Structured and Unstructured Data

Corina Paraschiv

Reconciling Structured and Unstructured Data