Expert Data Curation Services to Enhance Quality, Accessibility, and Reusability

A case study on improving data quality, accessibility, and reuse through expert curation

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Snapshot

A leading global data repository engaged our services to provide high-quality data curation and publication support for research datasets. The focus was on ensuring that submitted datasets were accessible, reusable, well-documented, and compliant with repository standards for publication and long-term reuse.

Dataset Readiness at Scale

See how SME-led curation prepared nearly 3,000 datasets with complete metadata and documentation, increasing their readiness for publication and reuse.

Challenge

Datasets arrived in a wide variety of file formats with inconsistent metadata and incomplete documentation. These variations affected the ability to interpret data, limited discoverability, and created barriers to reuse. The repository needed a process that could handle diverse technical requirements while also improving clarity and completeness for researchers who would later find and use the data.

Solution

Our data curation and quality control services supported the repository’s publication process by reviewing each dataset against a comprehensive set of criteria, including proper file formats, clearly documented README files, complete and consistent metadata, compliant licensing, and copyediting for language clarity and consistency.

Subject matter experts (SMEs) worked closely with dataset authors, providing direct feedback and guidance to improve documentation, structure, and written clarity until datasets met established standards. This human-led curation ensures both technical compliance and contextual clarity, helping make datasets understandable, searchable, and reusable beyond specialist audiences. Curators also applied structured workflow management to handle daily throughput efficiently and coordinated communication with authors throughout the review and revision process.

Impact

Nearly 3,000 datasets curated through rigorous review and quality control

Accessibility improved through SME feedback and enhanced documentation

• Datasets prepared for publication with complete documentation and standardized metadata

• Final datasets made more searchable, understandable, and reusable for a broad research community

By elevating quality and clarity at the dataset level, the repository ensured that published data are technically compliant, accessible, and useful to stakeholders across the community, supporting broader discovery and reuse.

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