International Benchmarking

Open Data Inventory (ODIN): 2024/25 self-assessment

The Open Data Inventory (ODIN) is a globally-used measure of a country's adherence to open data standards, with biennial assessments conducted by OpenDataWatch. In the 2022/23 assessment, Malaysia ranked 67th out of 193 countries. This time around, we want to do better. This page presents our ODIN self-assessment in full compliance with the latest methodology, to help the ODIN team assess us and provide feedback quickly. Let’s see how far we can go!

Last updated: 12 Aug 2024, 18:15

Summary:

Overall Score

12

out of 100

Coverage Score

11

out of 100

Openness Score

13

out of 100

Social Statistics: Population and Vital Statistics

Overall Score

100

out of 100

Coverage Score

50

out of 50

Openness Score

50

out of 50

ElementSub-elementScoreJustification
Coverage (50/50)Indicators & Breakdowns10Population data is published by sex and 5-year age groups; live births and deaths are both published by sex.
Last 5 Years10All datasets have complete data on a annual basis for each of the last five years (2019-2023).
Last 10 Years10All datasets have complete data on a annual basis for each of the last ten years (2014-2023).
State Level Data10All datasets are available at the state level for the same time range as national data.
District Level Data10All datasets are available at district level, with data from 2020-2022 or 2020-2023.
Openness (50/50)Machine-Readable10All data are provided in CSV and Parquet format, both of which are machine readable.
Non-Proprietary10All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
Metadata10All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
Downloadable10All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
Open License10A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Economic & Financial Statistics: Price Indexes

Overall Score

85

out of 90

Coverage Score

35

out of 40

Openness Score

50

out of 50

ElementSub-elementScoreJustification
Coverage (35/40)Indicators & Breakdowns10Both CPI and PPI are published on a monthly basis.
Last 5 Years10Both CPI and PPI have complete data on a monthly basis for each of the last five years (2019-2023).
Last 10 Years10Both CPI and PPI have complete data on a monthly basis for each of the last ten years (2014-2023).
State Level Data5CPI data is available at state level, but PPI is not.
District Level DataNot applicable for this indicator, per the ODIN methodology.
Openness (50/50)Machine-Readable10All data are provided in CSV and Parquet format, both of which are machine readable.
Non-Proprietary10All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
Metadata10All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
Downloadable10All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
Open License10A Creative Commons BY 4.0 license is explicitly applied to all datasets.

Economic & Financial Statistics: Money and Banking

Overall Score

80

out of 80

Coverage Score

30

out of 30

Openness Score

50

out of 50

ElementSub-elementScoreJustification
Coverage (30/30)Indicators & Breakdowns10All indicators are presented with at least one categorical disaggregation each. The criteria of at least two interest rates for each year is fulfilled.
Last 5 Years10All indicators have complete data for each of the last 5 years.
Last 10 Years10All indicators have complete data for each of the last 10 years.
State Level DataNot applicable for this indicator, per the ODIN methodology.
District Level DataNot applicable for this indicator, per the ODIN methodology.
Openness (50/50)Machine-Readable10All data are provided in CSV and Parquet format, both of which are machine readable.
Non-Proprietary10All data provided in CSV and Parquet format, both of which are non-proprietary (note: Apache Parquet is an open-sourced file format).
Metadata10All datasets have detailed metadata, including definitions (with links to further details), dates of last update and next update, and source agency.
Downloadable10All data can be accessed programatically (via API, and a permanent URL), with bulk download options also available.
Open License10A Creative Commons BY 4.0 license is explicitly applied to all datasets.
jata negara

Department of Statistics Malaysia

© 2024 Public Sector Open Data