Data Curator

We are seeking a detail-oriented and knowledgeable Data Curator to join our team. Data curation involves evaluating research metadata and related objects to ensure that data are accessible, organized, and reusable.

As a Data Curator, you will work with researchers, authors, and editors to ensure that research data meets FAIR principles, ethical standards, and publication requirements. You will assess data submissions for clarity, provenance, interoperability, and reusability while supporting best practices for data sharing and reuse.

The role requires strong analytical, communication, writing, editing, and proofreading skills, along with a good understanding of research data management and metadata standards.

What You’ll Do

Data Curation and Management

• Evaluate research data, metadata, and related objects to ensure they are organized, accessible, and suitable for reuse.
• Manage the data curation process in accordance with established standards, guidelines, and protocols.
• Review data submissions for completeness, clarity, provenance, interoperability, and reusability.
• Ensure research data is structured and documented appropriately to support accessibility and reuse.

Collaboration and Communication

• Collaborate with researchers, authors, editors, and fellow curators to clarify data-related requirements and resolve queries.
• Guide authors on best practices for data management, sharing, and reuse.
• Communicate curation concerns clearly and provide appropriate guidance to improve data submissions.
• Work collaboratively with team members to ensure project requirements and timelines are met.

Compliance and Ethical Standards

• Ensure data submissions align with FAIR principles: Findability, Accessibility, Interoperability, and Reusability.
• Uphold data governance policies, ethical standards, and applicable data-sharing guidelines throughout the curation lifecycle.
• Review data for compliance with publication requirements and established curation standards.
• Identify potential concerns related to data accessibility, provenance, documentation, and reuse.

Quality Assurance

• Maintain high standards of accuracy, consistency, and quality in curated data and associated documentation.
• Identify gaps, inconsistencies, or ambiguities in data submissions and raise them for clarification.
• Ensure metadata and supporting documentation are clear, complete, and suitable for research and publication.
• Assess the usability and reusability of data without evaluating the scientific rigor or accuracy of the underlying research.

Skills Required

• Relevant experience in data curation or a related scientific field, with a good understanding of research data management and metadata standards.
• Knowledge of organizing complex datasets to improve accessibility, interoperability, and reuse in research and publication.
• Excellent verbal and written communication skills to collaborate effectively with authors, editors, researchers, and team members.
• Strong writing, editing, and proofreading skills, with excellent attention to grammar, style, consistency, and detail.
• Ability to identify data-related gaps, inconsistencies, and issues and communicate them clearly.
• Understanding of FAIR data principles, ethical data sharing, and research data governance.
• Strong organizational skills and the ability to manage multiple submissions while meeting deadlines.
• A keen eye for detail and a commitment to maintaining data quality and consistency.