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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

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

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

Prudhvi Raj Atluri *

Independent Researcher, USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(03), 393-399

Article DOI: 10.30574/wjarr.2025.26.3.2166

DOI url: https://doi.org/10.30574/wjarr.2025.26.3.2166

Received on 26 April 2025; revised on 01 June 2025; accepted on 04 June 2025

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.

Data Contracts; Trust Mechanisms; Distributed Governance; Schema Enforcement; Data Product Engineering

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-2166.pdf

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Prudhvi Raj Atluri. Data contracts in the wild: An approach for redefining trust and accountability in modern data pipelines. World Journal of Advanced Research and Reviews, 2025, 26(3), 393-399. Article DOI: https://doi.org/10.30574/wjarr.2025.26.3.2166

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