Data contracts in the wild: An approach for redefining trust and accountability in modern data pipelines

Data contracts represent a transformative mechanism for redefining trust and accountability within distributed data ecosystems. As organizations face increasing challenges with data quality, ownership, and clarity across teams, data contracts emerge as a structured solution drawing inspiration from software engineering principles. These explicit agreements between producers and consumers specify schema, semantics, service level agreements, and behavioral expectations of data assets. By formalizing these relationships, organizations can mitigate schema drift, improve observability, and foster a culture of shared responsibility. Data contracts enable self-service platforms, support decentralized data ownership models like Data Mesh, and facilitate regulatory compliance. The operationalization of data contracts provides a blueprint for building resilient, transparent, and high-trust data pipelines essential for scaling analytics and Artificial Intelligence in complex, multi-team environments.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.17374064
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
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article

Data contracts in the wild: An approach for redefining trust and accountability in modern data pipelines

Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

Data contracts in the wild: An approach for redefining trust and accountability in modern data pipelines

article en

Abstract

Data contracts represent a transformative mechanism for redefining trust and accountability within distributed data ecosystems. As organizations face increasing challenges with data quality, ownership, and clarity across teams, data contracts emerge as a structured solution drawing inspiration from software engineering principles. These explicit agreements between producers and consumers specify schema, semantics, service level agreements, and behavioral expectations of data assets. By formalizing these relationships, organizations can mitigate schema drift, improve observability, and foster a culture of shared responsibility. Data contracts enable self-service platforms, support decentralized data ownership models like Data Mesh, and facilitate regulatory compliance. The operationalization of data contracts provides a blueprint for building resilient, transparent, and high-trust data pipelines essential for scaling analytics and Artificial Intelligence in complex, multi-team environments.

Zenodo (CERN European Organization for Nuclear Research)
Film Independent (US)
Life in Land
Openalex Percentile: Top 28%
Scientific Computing and Data Management
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