DOSM's Advance Release Calendar

Data as of 01 Jul 2024, 08:00

Release date and metadata for all DOSM's publications in 2024.

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How is this data produced?

DOSM's advance release calendar is compiled and coordinated by the Strategic Communications Division for the purpose of display on the main DOSM portal. It contains three fields, namely the title in English, title in Malay, and release date. To produce the structured dataset shown here, the OpenDOSM team conducts standardisation of naming conventions and adds several metadata fields which are typically helpful for users, such as category, frequency, and release series (in date and natural language formats).

What caveats I should bear in mind when using this data?

Publication(s) using this data

The data shown here tallies exactly with the Upcoming Publications calendar on OpenDOSM.


Dataset description

Release date and metadata for all DOSM's publications in 2024.

Variable definitions
  • Publication ID
  • Release Date
  • Publication Title (EN)
  • Title Publication (MS)
  • Publication Category
  • Publication Category (EN)
  • Publication Category (MS)
  • Frequency of data
  • Series
  • Series (Formatted Date)
  • Series (EN)
  • Series (MS)
Last updated:

01 Jul 2024, 08:00

Next update:

02 Jul 2024, 08:00

Data source(s)
  • DOSM

This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.


Full Dataset (CSV)

Full Dataset (CSV)

Recommended for individuals seeking an Excel-friendly format.


Full Dataset (Parquet)

Full Dataset (Parquet)

Recommended for data scientists seeking to work with data via code.



Connect directly to the data with Python.

# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = '' df = pd.read_parquet(URL_DATA) if 'date' in df.columns: df['date'] = pd.to_datetime(df['date']) print(df)

Sample OpenAPI query

The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.

import requests import pprint url = "" response_json = requests.get(url=url).json() pprint.pprint(response_json)