The first step to publishing open data is to make available all the data you collect once privacy and security measures are addressed. ODIN looks on all official government websites for data publish on 60+ indicators. In addition, most indicators require some level of categorical disaggregation (example: sex disaggregation) to be considered. The table below shows the indicators that were not found, with any of the categorical disaggregations listed, on any website. Each category has a certain number of indicators and disaggregations required for full credit. Not all indicators in ODIN are relevant to all countries and scoring rules account for this. For example, in Resource Use only 3 out of 4 indicators are required. If you currently publish one, the other three will appear below, but only two additional need to be published for full credit.

See the Methodology Guide for more information.

It is important to publish historical timeseries data, if collected, so progress can be assessed over time. The table below shows the indicators in ODIN that were found published and disaggregated, but did not have a single timeseries with at least 6 of the last 10 years. At least 6 of the last 10 years must be published in a timeseries dataset for each indicator to get full credit on data coverage.

Geographic disaggregation increases the value and usefulness of data and enables users to make meaningful comparisons across regions. ODIN assesses geographic disaggregation using two levels- subnational level 1 and subnational level 2. In most countries, subnational level 1 matches their first administrative level/NUTS 2 divisions such as provinces, states, regions, and districts. Subnational level 2 is defined as as geographic division more granular than level 1.

In ODIN, many economic and environmental indicators are not scored on their availability of subnational level 1 or 2 data. Below are a list of indicators, where subnational level 1 or 2 data are required for full credit, but could not be found.

Metadata is crucial for data openness because it provides essential context, such as the source, definitions, classifications used, making it easier to understand, access, and use effectively. It ensures transparency, improves data discoverability, and supports reproducibility in research and analysis. For all datasets assessed in ODIN, reference metadata are reviewed for some basic components common in all recommended metadata standards, such as SDMX, DCAT, and Dublin Core. Those components include: 1) Source agency responsible for collecting the data, 2) Definition of indicator and key terms, and 3) Date that data was uploaded online. Below is a table of the ODIN indicators for which data with incomplete metadata was found (not all three components were found). To be considered, reference metadata must appear in the same file as the data, near the dataset in a separate file or clearly visible, or in a separate section of the same website that is easy found and named appropiately.