Welcome to our Data for Good Database!
This resource is designed to help students and researchers access, explore, and utilize open-source datasets, particularly focusing on the Asia-Pacific region. This guide will walk you through how to navigate the database, download data, and understand metadata.
This folder is continuously being developed and updated with new datasets. The data will be organized by themes, followed by our Data of the Month’s themes.
Accessing the Database
The database is hosted directly on LKYSPP Data for Good Wiki.
Understanding Metadata
Each dataset comes with a metadata document that provides essential information about a dataset:
Access Link: A direct link to access and download the data
Overview: A general description of the data
File Information: Data format details
Data Collection Methods and Sources: How and when the data was collected and its source
Variable Descriptions: Definitions of column names and data types
Notes for Analysis: Suggestions on how the data can be used for research
Limitations: Any known issues with the dataset (e.g., missing values, biases)
Citation: Citation requirements
Navigating the Database
The database consists of multiple sheets, each representing a category of datasets based on the monthly analysis our Data Team conducts.
Common categories can include:
Education
Demographics & Census
Health & Public Policy
Economic & Financial Data
Environment & Climate
Technology & Digital Access
Downloading Data
To download data from the database:
Click on the CSV at the top of the metadata document
A table will be populated with the raw data. Follow these steps to download the data:
Troubleshooting & Support
If you encounter issues accessing or interpreting the data, here’s what you can do:
Check the dataset’s official documentation (linked in the Metadata section).
Contact the Data For Good Data team via email
Join our WhatsApp group for discussions and support
Contributing & Feedback
We are constantly updating the database to improve its usefulness. Don’t be shy and feel free to jump in the comment section below if you have:
Suggestions for new datasets
Found broken links or outdated information
Feedback on usability