Regulatory and Standards Content Development and Quality Control Process

Modified on Tue, 17 Jun at 6:37 AM

Purpose: This procedure ensures the accurate and timely loading and updating of regulatory and industry standards data within Nimonik's platforms, maintaining high quality and preventing errors.


Scope: This procedure applies to adding and updating documents in Nimonik’s regulatory and standards library.


Responsibilities: Content team, data analysts, quality control personnel, external experts (as needed).


Procedure:


Part 1A: Adding Regulatory Documents to the Library

  1. Define Scope: Determine the jurisdictions, industrial sectors, and topics to be included.

  2. Gather Legislation: Compile a list of all in-force legislation for each jurisdiction, typically by scraping content from government websites.

  3. Remove Existing Documents: Automatically remove any documents already present in Nimonik’s library.

  4. Filter for Relevant Documents: Remove documents that do not contain obligations or related provisions for companies, by reviewing the document text.

  5. Assign Metadata: Assign industrial sectors and topics to the remaining documents based on their content. Review step 4 during this process.

  6. Set Aside Out-of-Scope Documents: Documents outside the current scope are set aside for potential future inclusion.

  7. Add Additional Metadata: Create metadata such as publication date and document extract. This can be automated in Part 2. Review step 5 during this process.

  8. Upload Documents to the Platform.

  9. Extract Obligations for Essential EHS Documents: Parse Essential EHS documents to identify specific obligations for customers.

  10. External Validation: Where applicable, validate the complete data set by consulting with external experts.

Part 1B: Adding Standards to the Library

  1. Determine Standards to be Added.

  2. Gather Standards Data: Standards data is sourced from Nimonik’s store; the data in the store and undergone prior review.

  3. Additional Review: Review data again. This is a random sample review unless data quality issues are identified, in which case a detailed review is performed.

  4. Add Additional Metadata: This is an automated process. The resulting metadata is reviewed to detect any automation errors.

  5. Upload Documents to the Platform.

Part 2: Tracking, Processing, and Uploading Updates

  1. Track Updates:

    • Get the latest update-related information in core sources (websites, data feeds, newsletters, direct contacts).

    • Record updates meeting defined criteria.

  2. Process Updates:

    • Record metadata about new and updated documents (publication date, effective date, abstract, sectors, topics).

    • Classify updates by significance to customers.

    • Analyze and summarize updates.

  3. Upload Updates: Upload updates to Nimonik’s library daily.

    • Use automated alerts to ensure timely tracking.

    • Check for duplicate records for the same publishing authority and time period.

    • Regularly review and update tracking sources for accuracy.

    • Review a sample of updates to verify complete capture of important updates.

    • Carefully verify all metadata (e.g. dates, topics, abstracts) before upload.

    • Verify that all updates are uploaded successfully.

General Quality Control Measures:

  • Automated Checks: Implement automated QC steps to prevent duplicate documents and incorrect metadata (e.g. publication dates).

  • Scope of Completeness: The library is ensured to be complete for the content purchased by the customer, not necessarily for everything available.

This procedure aims to minimize errors and ensure the reliability and accuracy of regulatory and standards data within Nimonik's platforms.

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