What are the different types of sources of data from where we can collect reliable and authentic datasets?

Different reliable and authentic sources of data for collecting datasets are:

1. Databases – Organised collections of stored data (e.g., school records) from which correct and consistent data can be retrieved easily.
2. APIs (Application Programming Interfaces) – Trusted applications/websites share data through APIs (e.g., online bookstore APIs for book reviews and details).
3. Web Scraping – Using programs to collect information from authentic websites (e.g., book descriptions, author information), when permitted.
4. Surveys and Questionnaires – Data collected directly from users (e.g., students’ favourite genres and reading habits), making it relevant and dependable.
5. Sensors and IoT Devices – Real-time data gathered through sensors (e.g., book movement, environmental conditions in a library), which is accurate and measurable.
6. Kaggle Platform – A well-known platform that provides datasets from many domains and supports downloading datasets for AI/ML projects.