Conceitos essenciais
Proposing a comprehensive approach for generating high-quality Analysis Ready Data (ARD).
Resumo
Introduction
Increased need for high-quality data outputs.
Lack of comprehensive guidelines for ARD creation.
Literature Review
Various criteria and steps proposed over the years.
Focus on specific subsets without holistic guidelines.
Ten Steps for ARD Creation
Ethics, project documentation, data governance, management, storage, discovery, cleaning, quality assurance, metadata, dictionary.
Digital Atlas Context
ACYWA aims to improve child and youth wellbeing metrics in Australia.
Conclusion
Proposed guidelines provide a framework for creating high-quality ARD.
Author Contributions & Acknowledgements
References
Estatísticas
Landsat analysis ready data for global land cover mapping (Remote Sensing 23(4), 2021)
Open data products framework for creating valuable ARD (Journal of Geographical Systems 23(4), 2021)
Citações
"Ethics should be at the forefront of project development."
"Project documentation is crucial for effective research conduct."
"Data governance ensures compliance with privacy regulations."