Data Analyst (project-based) – Open Research Information Project

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

Job summary

Erasmus University Rotterdam is conducting a six-month diagnostic project on Open Research Information (ORI). The role will assess OpenAlex/OpenAIRE and proprietary databases (Dimensions, Scopus, Web of Science) against EUR’s PURE for research management and decision-making.

You will work within the ERS on a structured readiness framework, reporting findings and supporting management with evidence-based conclusions. Start 5 October 2026, campus Woudestein, 1 FTE.

Qualifications

• Master's degree in a relevant field.
• Strong quantitative data handling and analytical skills.
• Experience with data cleaning, matching, and analysis.
• Affinity with bibliometrics, research information, or open science is an advantage but not required.

Responsibilities

• Assess and document open databases (OpenAlex/OpenAIRE) vs proprietary databases (Dimensions/Scopus/Web of Science).
• Conduct structured comparisons with Pure for Erasmus MC and RSM.
• Identify metadata gaps and workflow implications.
• Populate the readiness framework with evidence-based findings.
• Summarise findings to support management advice phase.

Skills

Quantitative data handling

Data cleaning

Data matching

Analytical skills

Education

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

Job description

Information science » Information management

Organisation/Company Erasmus University Rotterdam (EUR) Research Field Information science » Documentation Information science » Information management Researcher Profile Recognised Researcher (R2) Application Deadline 16 Sep 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Erasmus University Rotterdam is conducting a six-month diagnostic project on Open Research Information (ORI). The project explores how open infrastructures, including OpenAlex and OpenAIRE, could complement EUR’s institutional Current Research Information System (CRIS), PURE, for research management, evaluation, and strategic decision-making.

This is a learning and decision-support project, not an implementation project. Its objective is to provide university management with an evidence-based understanding of what open research information infrastructures can and cannot currently offer EUR.

The as-is analysis-covering current research intelligence use cases, tools, and metrics used across faculties-has been completed. We are looking for a Data Analyst to support the to-be analysis: a structured readiness assessment of OpenAlex and OpenAIRE, as well as comparative assessment of proprietary databases for two schools: Erasmus MC and Rotterdam School of Management (RSM).

Job description You will work with an existing readiness assessment framework developed within the project. Your role will be to assess and document open databases: OpenAlex and OpenAIRE and proprietary databases: Dimensions, Scopus and Web of Science, against key criteria for Erasmus MC and RSM, including: data coverage, data quality, available metrics, information types, user experience, required skills, required support and governance considerations. Each criterion will be assessed against the research intelligence use cases identified during the as-is phase, such as: tracking research outputs, monitoring research impact and performance, analysing collaboration patterns and monitoring open science practices.

Your main activities will include:

• Conducting structured comparisons between open and proprietary databases, and institutional current information system, Pure for Erasmus MC and RSM, building on existing preliminary coverage analyses
• Identifying metadata gaps, coverage differences, affiliation and DOI mismatches, and potential workflow implications
• Populating and substantiating the readiness assessment framework with evidence-based findings
• Summarising findings in a format that directly supports the project’s management advice phase
• Reporting weekly to Tung Tung Chan (ERS) and Andrea Tarchi (UB), while working closely with faculty contacts at Erasmus MC (Maarten Engel) and RSM (Brenda de Groot)
• A completed master’s degree in a relevant field (e.g., data science, information science, research management, social sciences, or a related discipline)
• Strong quantitative data handling and analytical skills, with experience working with datasets, sampling, and comparative analysis
• Experience with data cleaning, matching, and analysis
• Affinity with bibliometrics, research information, or open science is an advantage but not required
• A precise and structured working style, suitable for a short, output-driven project
• Availability during the full project period from 5 October to 13 November 2026.

Additional Information

We offer you an internationally oriented and varied job in an enthusiastic team, with excellent working conditions in accordance with the Collective Labour Agreement for Dutch Universities (CAO-NU).

The start date of this position is 5 October 2026 and you will be based at campus Woudestein in Engagement & Research Services (ERS). This position is for 1 FTE. The salary is dependent on your experience and knowledge and ranges from a minimum of € 3.706 to a maximum of € 5.760 gross per month Scale 10 on a fulltime basis (38 hours), in accordance with the CAO-NU.

Your contract will be with EURFlex. EURFlex manages the payroll administration of the Erasmus University Rotterdam (EUR).

Selection process

Persons of all gender identities or expressions, sexual orientations, religions, ethnicities, ages, neurodiversities, functional impairments, citizenships, or any other aspect are welcome to apply and join the EUR community.

Additional comments

You can find more information about the EUR on our website www.eur.nl .

For more information about this vacancy, please contact Tung Tung Chan, [e-mail] .