Metadata-Driven File Naming for ISO 19650 Compliance
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Solution Overview
Problem
Existing software applications for managing construction project data files face challenges in efficiently and accurately assigning naming structures due to user-driven, file-based and folder-based approaches, which are labor-intensive, time-consuming, and prone to errors, leading to potential compliance issues and misunderstandings among teams.
Innovation Solution
A data-driven approach using metadata to automatically determine and generate naming structures for data files based on metadata analysis, reducing user intervention and minimizing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user-driven, file-based or folder-based approaches are used to assign naming structures, then users can manually control and review naming assignments, but the process becomes labor-intensive, time-consuming, and prone to errors
Solution Approach 1:
The system enables self-service by allowing the computing platform to automatically determine and generate naming structures using metadata from the data files themselves, eliminating the need for manual user intervention while maintaining accuracy through automated analysis of file properties and relationships
Solution Approach 2:
The patent replaces the mechanical manual process of users reviewing and assigning naming structures with an automated computing platform that uses metadata analysis and algorithms to determine appropriate naming structures, substituting human labor with computational processing
2Reliability
If manual review and approval processes are implemented for data files, then compliance with standards like ISO 19650 can be ensured, but the process becomes time-consuming and reduces productivity
Solution Approach 1:
The system performs preliminary action by automatically generating naming structures before data files are uploaded or during the upload process, rather than requiring post-upload manual review and approval, thus ensuring compliance while reducing time loss
Solution Approach 2:
The computing platform performs self-service by automatically ensuring compliance with naming standards through metadata-driven naming structure determination, eliminating the need for time-consuming manual compliance checks and approvals
3Productivity
If automated metadata-driven naming is implemented, then productivity and accuracy are significantly improved, but the system complexity increases
Solution Approach 1:
The system achieves universality by creating a multi-functional computing platform that can handle various file types, metadata formats, and naming standards through a single automated metadata-driven naming system, reducing the need for multiple specialized tools and processes
Solution Approach 2:
The patent uses metadata as an intermediary element that bridges the gap between raw data files and naming structure requirements, allowing the system to automatically determine appropriate naming structures without requiring complex direct analysis of file contents or manual intervention
Data Source
AI summary
A computing platform is configured to: (i) receive, from a first client station, a data file; (ii) obtain metadata associated with the data file; (iii) determine, based on at least a first set of metadata from the obtained metadata associated with the data file, a naming structure to use for the data file; (iv) generate, based on the determined naming structure and at least a second set of metadata from the obtained metadata, a proposed name for the data file; and (v) transmit, to a second client station, a communication identifying the proposed name and thereby cause an indication of the proposed name for the data file to be presented at a user interface of the second client station.