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