Verify Data Collection content is properly embedded in Data Science course

[Copilot]

Summary

This PR documents the verification that all requested Data Collection content is already properly embedded in the Data Science and Data Analytics course material (Section 2.4).

Verification Results

All requested content for the Data Collection section has been confirmed to be present and properly integrated:

✅ Content Files Verified

1. Image: Method_of_data_collection.jpg - Embedded as a figure in the Data Collection section
2. PDF: Data Collection Competencies.pdf - Referenced in the Core Data Collection Competencies subsection
3. Both files exist in ./topics/Data Analytic Competencies/Data Collection/ and are identical between repositories

✅ References Verified

1. External Resource: The URL https://researchmethodology.org/data-collection/ is properly linked for comprehensive coverage of data collection methodologies
2. Literature Citation: The Introduction_to_Modern_Statistics_2e.pdf is cited via @etinkaya-Rundel2021 in the opening paragraph, providing scholarly context for data collection strategies

✅ Content Structure

The Data Collection section (2.4) includes:

• A scientifically-grounded introduction citing modern statistical frameworks
• Visual representation of data collection methods (image)
• Detailed competency framework with PDF reference covering:
  • Source Identification and Assessment
  • Data Acquisition Methods
  • Quality and Governance Framework
  • Methodological Considerations
• Contemporary context discussing the modern data collection ecosystem
• External resource link for additional best practices

✅ Rendered Output

The rendered HTML in data-science-analytics.html correctly displays all embedded content, including the image, PDF link, literature citation, and external URL.

Repository Context

Note: The actual Data_Science_and_Data_Analytics.qmd file resides in the DrBenjamin/Data-Science-and-Data-Analytics source repository. This repository (DrBenjamin.github.io) serves as the GitHub Pages deployment target, where the workflow checks out source repositories, renders the Quarto documents, and publishes the output.

All content files and references are properly synchronized between the source repository and this Pages repository via the automated workflow defined in .github/workflows/update-content.yml.

Conclusion

The Data Collection section already contains all requested content embedded in a concise scientific context. No changes to the repositories are needed at this time.

Original prompt

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This section details on the original issue you should resolve

<issue_title>Data Science and Data Analytics</issue_title>
<issue_description>You prepare content for the Data Science and Data Analytics course. You want to embed all the mentioned content in a concise scientific context into the specified paragraph of the quarto file (Data_Science_and_Data_Analytics.qmd).

Which paragraph(s) is this related to?
Section 2, Paragraph 2.4 (Data Collection)

The content in the repository that should be added
Please use the following content files from the repository:

• subfolder: ./topics/Data Analytic Competencies/Data Collection
• content files: <subfolder>/Data Collection Competencies.pdf and <subfolder>/Method_of_data_collection.jpg.

The remote content that should be added
Please use the following remote content:

• URL: https://researchmethodology.org/data-collection/

Additional context and content
Please use the following context and content to support your feature request:

• literature references: ./literature/Introduction_to_Modern_Statistics_2e.pdf</issue_description>

Comments on the Issue (you are @copilot in this section)

Fixes DrBenjamin/DrBenjamin.github.io#7

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