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Dr. Anya Sharma is leading a project to digitize a vast archive of international trade agreements spanning the 20th century. The archive includes documents from various countries, originally recorded in different formats and using diverse country identification methods (e.g., full country names, outdated abbreviations, pre-ISO codes). The digitized data will be used for economic analysis and policy recommendations. Anya\'s team is considering using ISO 3166 numeric codes for consistent country identification in the digital archive. However, some team members express concerns about the potential for errors and the challenges of integrating the numeric codes with existing legacy systems.\n\nConsidering the complexities of this scenario and the principles of ISO 13028:2010, which of the following strategies would be MOST effective for Anya\'s team to ensure accurate and reliable implementation of ISO 3166 numeric codes in the digitization project, while also addressing the concerns raised by the team members about legacy systems and potential errors?
Implement a comprehensive mapping process that links all historical country identifiers to the current ISO 3166 numeric codes, coupled with a robust metadata management system and thorough documentation, and conduct regular data validation checks to ensure ongoing accuracy and address potential geopolitical changes affecting code assignments.
Primarily rely on Optical Character Recognition (OCR) technology to automatically extract country names from the documents and convert them to ISO 3166 alpha-2 codes, as these are more easily recognizable and less prone to errors than numeric codes, while minimizing manual intervention to speed up the digitization process.
Use a simplified approach by assigning sequential numeric identifiers to each country represented in the archive, independent of the ISO 3166 standard, to avoid the complexities of geopolitical changes and ensure internal consistency within the digitized database, prioritizing speed of implementation over external standardization.
Focus on digitizing only the most recent trade agreements and exclude older documents with inconsistent country identification methods to reduce the risk of errors and simplify the data integration process, thereby streamlining the project and minimizing the need for complex data mapping.

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