📅 2025-08-16 — Session: Strategic Planning for Scholarly Data Aggregation and Integration
🕒 00:15–01:10
🏷️ Labels: Resume Enhancement, Data Ingestion, Scholarly Aggregation, Api Integration, Openalex
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal:
The session aimed to explore strategies and tools for enhancing developer resumes, managing data ingestion, and aggregating scholarly data using various APIs and platforms.
Key Activities:
- Resume Enhancement: Explored strategies to bridge gaps in developer resumes by highlighting engineering accomplishments in high-scale client performance and data engineering.
- Data Ingestion: Developed a daily milestone strategy for managing data ingestion tasks, focusing on automation and performance metrics.
- Economic Data Aggregation: Planned search queries for aggregating economic data from platforms like GitHub, arXiv, and RePEc.
- API and Library Searches: Conducted search queries for GitHub repositories and APIs related to scholarly works, including the RePEc API and arXiv Python libraries.
- Web Scraping Tools: Searched for GitHub scrapers for working papers from organizations like NBER and ECB.
- Data Aggregation Tools: Outlined open-source tools for scholarly data aggregation and provided a checklist for adapting these tools.
- OpenAlex Data Integration: Planned the integration of OpenAlex data with custom navigation, detailing reuse and replacement strategies.
Achievements:
- Formulated a comprehensive strategy for enhancing developer resumes.
- Established a structured approach for daily data ingestion milestones.
- Identified key resources and tools for economic data aggregation and scholarly data processing.
- Developed a plan for integrating OpenAlex data with a custom system.
Pending Tasks:
- Execute the integration plan for OpenAlex data.
- Implement the daily milestone strategy for data ingestion.
- Further refine the search queries for economic data aggregation.
- Adapt open-source tools for specific use cases in scholarly data aggregation.