7.4 Implementing Guidelines

7.4 Implementing Guidelines#

Data Source Selection

When selecting data sources, consider factors such as quality, timeliness, cost, and the burden on respondents. This involves:

  • Evaluating traditional sources like surveys and administrative records alongside other novel data sources, including geospatial information, Big Data sources like social media, sensors, and transactional data.

  • Aligning source selection with the specific needs of the statistical exercise and the appropriateness of the data for those needs.

  • Implementing systematic statistical planning methods that demonstrate a commitment to serving the public good.

Quality Assurance

To ensure high-quality official statistics, statistical agencies should:

  • Implement quality management measures focusing on relevance, timeliness, and data frequency.

  • Develop and implement a National Quality Assurance Framework (NQAF) to protect the integrity of official statistics as a reliable source of information.

  • Regularly evaluate and enhance data quality, considering accuracy, relevance, and comparability coherence.

Cost-Effectiveness and Efficiency

To optimize resource utilization, statistical agencies should:

  • Find innovative solutions to navigate resource constraints without compromising data quality.

  • Develop strategic goals and work programme plans that accommodate judgments about competing user needs.

  • Utilize emerging technologies such as artificial intelligence and machine learning to enhance the efficiency of data collection and processing.

Minimizing Respondent Burden

To reduce the burden on data providers while maintaining data quality, statistical authorities can:

  • Balance the need for comprehensive data with the practicalities and constraints respondents face.

  • Explore alternative data sources that can supplement or replace traditional surveys.

  • Implement user-friendly data collection methods and streamline questionnaires.

Stakeholder Engagement

To ensure the relevance and utility of statistics, agencies should:

  • Involve users in evaluating statistics and consult them about the uses of statistical data.

  • Establish contracts and memoranda of understanding to foster exchange and dialogue between statistical agencies and user groups.

  • Publish information about users’ experiences of statistical services, data quality, and the format and timing of reports.

Adaptation to New Data Sources

As the data landscape evolves, statistical authorities should:

  • Develop guidance on implementing the Fundamental Principles when utilizing new data sources for the production of official statistics.

  • Assess the potential of new data sources while maintaining adherence to scientific standards and professional ethics.

  • Collaborate with other agencies and data providers to ensure interoperability and availability of data across the national statistical system.