Updated the Administrative Data Section of the Knowledge Hub Web Page using IPA Philippines Data Collection - Administrative Data and Data Validation.pptx - #185
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…a Collection - Administrative Data and Data Validation.pptx as a resource
…ding content from the IPA Philippines Data Collection - Administrative Data and Data Validation.pptx resource
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@davidbaronaipa thanks for working on this page - the addings are really great and important to have! I left some suggestions to improve how we are presenting the content, as well as some comments for you to review and improve. Once this is ready, let me know so I can approve the final version! |
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| Administrative data refers to data collected for the administration of programs. It should be systematically collected, stored and used for program operation and management decisions. | |
| While administrative data is designed to track a program’s implementation -primarily the project’s activities and expenses- it can also include indicators on program outcomes. Examples of administrative data include educational records, client information from financial institutions, and hospital records of patient visits and health outcomes. Other examples include information held by government agencies, such as tax filings and Medicare claims. |
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@davidbaronaipa sé que esto ya estaba en la versión original, pero me parece que podía ser una mejora de consistencia
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| ::: {.callout-tip collapse="true"} | |
| ### Real-World Example: IPA's Experience with Administrative Data |
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| ::: |
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Adding this in a callout
| ## Standard Processes for Accessing Administrative Data | ||
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| Accessing administrative data involves four main steps: | ||
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| ### Finding Administrative Data | |
| Implementing partners and government agencies are valuable sources of administrative data. Common sources include: | |
| * **Health Data**: Regional/national health departments, hospitals, health insurance records | |
| * **Financial Data**: Banks, credit unions, credit reporting agencies | |
| * **Education Data**: Schools, ministries of education, standardized testing agencies |
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Removing this from a callout
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| ## Standard Processes for Accessing Administrative Data | ||
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| Accessing administrative data involves four main steps: |
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@davidbaronaipa sé que esto es de la versión original pero me parece que son 3? puedes revisarlo luego de ver las demás sugerencias?
davidbaronaipa
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davidbaronaipa
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Hi Kelly. All the comments have been addressed and incorporated. I look forward to any additional feedback before we merge the changes into the website.
| Administrative data refers to data collected for the administration of programs. It should be systematically collected, stored and used for program operation and management decisions. | ||
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| ### Real-World Example: IPA's Experience with Administrative Data | ||
| Administrative data is typically collected by government agencies and organizations for registration, transaction, and record-keeping purposes and it is designed to track a program’s implementation -primarily the project’s activities and expenses- it can also include indicators on program outcomes. Examples of administrative data can include credit card transactions, client information from financial institutions, electronic medical records, insurance claims, hospital records of patient visits educational records, arrest records, and mortality records. |
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@davidbaronaipa - please make sure to you run the formatting checks before merging. See here https://github.com/PovertyAction/ipa-research-data-science-hub/blob/main/CONTRIBUTING.md#making-changes
I highly recommend setting up pre-commit hooks so that your files get checked each time you add a commit to the git repository: https://github.com/PovertyAction/ipa-research-data-science-hub/blob/main/CONTRIBUTING.md#code-quality-tools
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This is ready to go from my perspective.
3 participants
Pull Request Summary 🚀
What does this PR do? 📝
Added three new sections to the administrative data page: Data Flow Options (table of data access and matching configurations), Data Use Agreements (key elements and negotiation tips), and Data Validation (when to validate and common sources of error).
Why is this change needed? 🤔
The existing page covered how to find and request administrative data but did not address how data moves between providers and researchers, how to formalize data sharing legally, or how to verify data quality upon receipt. These gaps left practitioners without guidance on three critical steps in any administrative data workflow
How was this implemented? 🛠️
Three sections were added to admin-data.qmd drawing from IPA's W2 Data Collection and Validation training materials. Each section follows the existing page structure: a prose introduction, a table or bullet list summarizing key elements, and callout blocks for warnings and practical tips