System Check: This post serves as the initial record to verify the initialization and pipeline connectivity of the Lab Notes database. It marks the beginning of documenting technical challenges and solutions encountered during research.
In the pursuit of Data-Driven Decision Making, the most critical asset is not just the final result, but the accumulation of trials, errors, and intermediate outputs that often get lost.
๐ The Problem: Data Fragmentation
Research data typically falls into three distinct categories: 1) Final Publications (Research), 2) Process Troubleshooting (Lab Notes), and 3) Personal Insights (Life). In a traditional single-blog structure, these heterogeneous data types were mixed into a single timeline. This lack of hierarchy diluted the professional focus of the portfolio and made information retrieval inefficient.
โ๏ธ The Method: Implementing Multi-Content Collections
To resolve this, I re-architected the website using the Astro Frameworkโs Content Collections to physically separate the databases.
- Schema Definition: Utilized the
zodlibrary to define a common data schema shared across all collections (Research, Lab Notes, Life), ensuring maintenance efficiency. - Dynamic Routing: Designed a
[...locale]based dynamic routing system, ensuring perfect symmetry between Korean (KO) and English (EN) content structures. - Tag System Isolation: Developed a hybrid tag system that maintains independent tag clouds for each collection while allowing for integrated search results.
๐ The Impact: Systematic Knowledge Archiving
The journey of a โMarket Simulation Architectโ is now recorded across three distinct tracks. By transparently sharing not just the polished results but also the intense debugging processes and underlying thoughts, this platform establishes a more multidimensional identity as a researcher.