Strategic Planning for Scholarly Data Aggregation and Integration

2 min read

Strategic Planning for Scholarly Data Aggregation and Integration

  • Day: 2025-08-16
  • Time: 00:15 to 01:10
  • Project: Business
  • Workspace: WP 1: Strategic / Growth & Development
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Resume Enhancement, Data Ingestion, Scholarly Aggregation, Api Integration, Openalex

Description

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.

Evidence

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  • event_ids: []

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