📅 2025-08-20 — Session: Optimized Research Triage and Screening Process
🕒 01:40–03:00
🏷️ Labels: Openalex, Data Export, Research Triage, Screening, Data Science
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance the research triage and screening process using OpenAlex for multidimensional poverty studies in Argentina, and to optimize data export for efficient research triage.
Key Activities
- Developed a search strategy using OpenAlex to project multidimensional poverty lines and synthesize data on the Argentine ecosystem.
- Created exploratory research queries to map research areas in Argentina via OpenAlex, focusing on major research institutions.
- Optimized data export from OpenAlex to streamline research triage, categorizing fields for effective filtering and prioritization.
- Executed a data science triage process to evaluate the relevance of research topics, categorizing them into ‘keep’ or ‘discard’.
- Conducted multiple screenings of research papers and academic documents, categorizing them based on relevance to data science, econometrics, and socio-technical analysis.
- Consolidated topics related to discarded papers, suggesting a preliminary discard rule for efficient filtering.
Achievements
- Successfully outlined and executed a strategy for data extraction and research mapping using OpenAlex.
- Optimized the data export process for research triage, enhancing the efficiency of screening academic papers.
- Completed the screening of multiple batches of research papers, providing clear categorizations and justifications.
Pending Tasks
- Implement the preliminary discard rule for filtering research topics outside the scope.
- Further refine the data export schema for broader applicability in different research contexts.