Recommendations for providing high-quality data

Data needs to be carefully prepared before publication. Preparation is an interactive and agile process used to explore, combine, clean and transform raw data into curated, high-quality datasets. This process consists of six different phases, illustrated in the image below.

Source: Publications Office, Data.europa.eu Data Quality Guidelines, 2022, https://data.europa.eu/doi/10.2830/333095

General tip: make use of tooling and create a data management plan.

Best practices for providing high-quality data (findability, accessibility, interoperability, reusability)

Source: based on Publications Office, Data.europa.eu Data Quality Guidelines, 2022, https://data.europa.eu/doi/10.2830/333095

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