• English Language
Rich Reference Title
Full Text Articles
Very Deep Links
Over 15,000 Records
200,000 Cross References
Researchers and Scholars
3849 Kinross Drive
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a full text
reference on india
Kamat Research Database (formerly known as India Index) is a research database of historical photographs, full texts of biographies, books, and scholarly articles focusing their research on India. The producers have scavenged through rare manuscripts, conference proceedings, and commemorative volumes to compile a priceless collection of digital content that is fully indexed and cross-referenced.
It will fill a long standing void of lack of English language
reference database on one of mankind's oldest civilizations, and what
has been a birthplace of so many religions and reform movements.
Few organizations in the world have as long and illustrated history as the Indian National Congress, and the organization has been at the forbearer of India's agenda for over a hundred years. This collection includes biographies of important men and women of India during 19th and 20th
Kamat Research Database is perhaps the single largest source of reference on India's who's who from ancient
times to present day. Also included is "India's What's
What" glossary database compiled by the popular Internet
website Kamat's Potpourri (www.kamat.com)
Source of Historical Photographs
(after whom this collection is named), was a tireless photographer and a selfless researcher and
Kamat Database is the primary source of his works featuring a true treasure-trove of photographs document every aspect of India during the fifty years of Kamat's active photography. An extraordinary collection of inscriptions, sculptures, tribal people, common people, and rural India.
Extensive Bibliographic References
All the citations at least have
an abstract available. Most abstracts were created by
researchers and scholars.
Database You Can Browse
The vast contents of Kamat
Research Database are accessible by time period, by media, by
contributor, by publication, by subjects, by keywords, and by
alphabets. The contents are richly annotated for integration
into modern search engines