A brief overview of the purpose of the Data Asset Registry, highlighting the importance of showcasing the credibility and reliability of our data streams.
Empowering Informed Decisions for Societal Benefit
We aim to enhance public value by facilitating effective data production, sharing, and analysis. By promoting knowledge co-production and mutual understanding, we empower decision-makers to make informed choices that benefit society.
we are dedicated to upholding the highest standards of data credibility, ensuring our data streams are reliable and trustworthy for informed decision-making. Our commitment to quality is demonstrated through rigorous processes and best practices:
Verified Sources
We rely on reputable and authoritative sources, continuously auditing them to ensure the utmost trustworthiness.
Quality Management
Our robust data quality frameworks focus on accuracy, completeness, and timeliness, using advanced tools and manual checks to rectify any errors.
Standardized Collection
Consistency is key. We have established clear procedures and provide comprehensive training to ensure our data collection is precise and reliable.
Comprehensive Metadata
Every data stream is accompanied by detailed metadata, offering full context and background for informed evaluation.
Regular Audits
Routine audits and third-party reviews ensure our data remains of the highest quality and integrity.
Strong Governance
Our data governance policies ensure stringent oversight of all data management practices, with clear roles and responsibilities for data stewardship.
Stakeholder Engagement
We actively engage with stakeholders in the validation process, incorporating feedback to continually enhance data quality.
Transparent Data Lineage
We track and document the entire data journey, providing transparency from source to final use.
Help Us Improve Our Data Quality
We value your input in maintaining the integrity of our data. If you notice any gaps or inaccuracies in our data streams, please reach out to us. Your feedback is crucial in helping us enhance the quality and coverage of our data.
