Research Data Analyst: Open Science & ORI Insights

EuroSoHo; Rotterdam; Hybrid; EUR 41,000 - 64,000; Full time

Job summary

Erasmus University Rotterdam is seeking a Data Analyst for a six-month diagnostic project on Open Research Information (ORI). You will assess OpenAlex, OpenAIRE, and proprietary databases like Dimensions, Scopus, and Web of Science against EUR's CRIS system PURE for Erasmus MC and Rotterdam School of Management (RSM).

The role focuses on structured readiness assessment, data quality, and information types, supporting management decisions with evidence-based findings.

Qualifications

• Master's degree required in a relevant field (e.g., data science, information science, research management).
• Experience with quantitative data handling and research information systems preferred.
• Familiarity with bibliometrics or open science is advantageous but not required.

Responsibilities

• Conduct structured comparisons between open and proprietary databases and Pure for Erasmus MC and RSM.
• Identify metadata gaps, coverage differences, affiliation and DOI mismatches, and workflow implications.
• Populate the readiness assessment framework with evidence-based findings.
• Summarise findings to support the project’s management advice phase.
• Report weekly to project stakeholders and collaborate with university contacts.

Skills

Quantitative data analysis

Data cleaning & matching

Structured working style

Communication skills

Bibliometrics knowledge

Education

Master's degree in data science / information science / related field

Tools

OpenAlex

OpenAIRE

Dimensions

Scopus

Job description

Erasmus University Rotterdam is seeking a Data Analyst for a six-month diagnostic project on Open Research Information (ORI). You will assess OpenAlex, OpenAIRE, and proprietary databases like Dimensions, Scopus, and Web of Science against EUR's CRIS system PURE for Erasmus MC and Rotterdam School of Management (RSM).

The role focuses on structured readiness assessment, data quality, and information types, supporting management decisions with evidence-based findings.