29 ODIN indicators were not published with any of the required disaggregation. ODIN indicators are only a representative sample of the types of data a country should publish and not all indicators below may be relevant to your country. Nonetheless, those that are should be published. Below is a table of the ODIN indicators where no disaggregated data could be found on the NSO website or any official national website that is linked from the NSO website. See the Methodology Guide for definitions of each indicator.

2 ODIN indicators were not published with sex-disaggregation. Sex-disaggregated data are important to reflect the realities of men and women in various policy areas and narrow gender inequalities. Below is a table of the ODIN indicators where no sex-disaggregated data could be found on the NSO website or any official national website that is linked from the NSO website.

No data license or terms of use for data on the website that indicates how data can be used was found. Adopting an open license is a core component of the definition of open data. Data cannot be open unless they are licensed for reuse. An open data license is an opportunity for governments to encourage public use of their data by specifically addressing how people can use data, how they should attribute data, and what types of use, if any, are prohibited. These specifics encourage use and reuse of data by alleviating user concerns about legal ramifications of unapproved use. Please reference the Best Practices section of the Methodology Guide for examples from other countries and reach out to Open Data Watch for advice. Below is a table with the name of the NSO and website where a data license or terms of use for data could not be found.

No data license or terms of use for data on the portal that indicates how data can be used was found. Adopting an open license is a core component of the definition of open data. Data cannot be open unless they are licensed for reuse. An open data license is an opportunity for governments to encourage public use of their data by specifically addressing how people can use data, how they should attribute data, and what types of use, if any, are prohibited. These specifics encourage use and reuse of data by alleviating user concerns about legal ramifications of unapproved use. Please reference the Best Practices section of the Methodology Guide for examples from other countries and reach out to Open Data Watch for advice. Below is a table with the name of the portal and website where a data license or terms of use for data could not be found.

31 ODIN indicators were available in datasets that were not made available for all years in a machine readable format. Machine-readable data are structured data in formats that can be read and processed by a computer. These include Extensible Markup Language (XML), JavaScript Object Notation (JSON), common-separated values (CSV), and Microsoft Excel’s Open XML Spreadsheet (XLSX). When data are made available in formats that are not machine-readable, users cannot easily access and modify the data, which severely restricts their use. Below is a table of the ODIN indicators for which data in a machine readable format could not be found. File formats with a (r) indicate that the file is machine readable. File formats with a (np) indicate that the file is nonproprietary.

1 ODIN indicators were available in datasets that were not made available for all years in a nonproprietary format. Nonproprietary formats allow users to access data without requiring the use of a costly, proprietary software that may prevent some users from accessing the data. By definition, proprietary formats restrict either the ability to use the information or the ability to share the information. The most common nonproprietary formats used by statistics offices are PDF, XLSX, and CSV. Below is a table of the ODIN indicators for which data in a nonproprietary format could not be found. File formats with a (r) indicate that the file is machine readable. File formats with a (np) indicate that the file is nonproprietary.

39 ODIN indicators were available in datasets that were not made available for all years with complete metadata. Many metadata standards can be used to meet ODIN criteria for complete metadata. Metadata must include the following three components: 1) Source agency of data, 2) Definition of indicator, and 3) Date that data was uploaded online. Datasets should be published with ample metadata to “aid both discoverability and usability of the data,” according to the Open Data Handbook. Various metadata standards exist that are often used for statistical data, including Dublin Core, Data Catalogue Vocabulary (DCAT), and RDF Data Cube Vocabulary. Below is a table of the ODIN indicators for which data with incomplete metadata was found.

13 ODIN indicators were available in datasets that did not include data points for 6 of the last 10 years. It is important to publish historical data, if they exist, and not only recent data. Below is a table of the ODIN indicators for which data for less than 6 of the last 10 years was published.

16 ODIN indicators were available in datasets that did not include data points for 3 of the last 5 years. It is important to publish recent data, if they exist, and not only time series data. Below is a table of the ODIN indicators where data for less than 3 of the last 5 years was published.

23 ODIN indicators were available in datasets that did not include data at the subnational geographic level. Disaggregation of indicators at the subnational level is one of the key elements to effectively monitor development of a country and ensure certain groups of people are not left behind. Below is a table of the ODIN indicators where data was only made available at the national level.