Dear scholar, if you wish to become a regular contributor to PANDiT, please join us. Once your account is approved, you can add new content. In your profile, please tell us know briefly about your interests and expertise. Please help us make the data in PANDiT better and richer! Create an account now.

10 reasons (plus 1) you contribute data to Pandit

  1. Pandit is the richest database of Indic prosopography with over 51,000 entities and countless relationships.
  2. The data you contribute about persons, works, manuscripts, etc., will necessarily relate to data entered by others. The data others enter will, in turn, relate to those you contributed and so on, thereby producing new knowledge.
  3. It makes little sense to create independent, niche databases, when Pandit's broad framework allows you to combine datasets and learn new things from the combination.
  4. You become part of a growing community of scholars working with and contributing to Pandit.
  5. You get credit for your work, and your contributions will cited with your name as a contributor.
  6. All the data on Pandit are accessible, open, and free.
  7. All the data on Pandit are downloadable--whatever you and others give to Pandit, you can always "take home."
  8. Pandit is constantly updated, both data-wise and structure-wise.
  9. Pandit is flexible and responsive: if you find something (a field, an entity, a tool, a label, etc.) to be missing or lacking, we will be happy to work with you and add it to our structure.
  10. Pandit plans to create research tools that will use its rich data to create family trees, intellectual lineages, maps, and so on.
  11. It's fun!


Pandit has worked in collaboration with the Sanskrit Knowledge Systems on the Eve of Colonialism (SKSEC), founded and headed by Sheldon Pollock at Columbia University. SKSEC can be said to have pioneered the prosopographical approach to South Asian intellectual history, and the first cache of data imported to Pandit was the result of the hard and careful work of SKSEC’s diligent contributors.

We are also working in collaboration with Search and Retrieval of Indic Texts (SARIT), a digital humanities initiative that provides electronic editions of texts in Sanskrit and other Indian languages, all marked (tagged) using the rich Text Encoding Initiative (TEI) system. One of our goals is to provide direct links from works listed in our website to the actual texts found in SARIT.

In 2015 Pandit entered a collaboration with the “Age of Vedānta” project headed by Professors Ajay Rao (University of Toronto) and Lawrence McCrea (Cornell). Graduate students working with professors Rao and McCrea enter data on what during the second millennium CE became the dominant school of thought within Hinduism. The data-entry phase of this contribution began during the summer of 2016. The team working on this project, headed by Jonathan Peterson from the University of Toronto, has completed entering the first out of three printed volumes that make up BORI’s descriptive catalog on Vedānta: 377 manuscripts that belong to about 200 works have been entered, as well as 1515 extracts and various other related entities (authors, scribes, etc.). Overall, a third of the dataset has been successfully imported, and we hope to complete the work by the summer of 2019.


Pandit’s policy about its data is simple: all the data are completely public, entirely free, and sharable under Creative Commons licensing. What we ask of our users is to give fair credit to Pandit when credit is due and, of course, to contribute from their knowledge and experience to the database. We hope we have succeeded in creating clear and simple credit and citation protocols for Pandit, so as to encourage researchers to contribute to the database with the knowledge that their contributions will be professionally recognized. At the bottom of every content page there is a list of everyone who has contributed to it. Pandit uses a basic algorithm to calculate the weight of every contributor's contribution, and the order in which the names are listed (in this the list and in the suggested citation) reflects this algorithm. We will revisit the algorithm as needed, as we go along. Of course, all the revisions to any given entity are saved on the database and every user can access old revisions and compare them to more recent ones.

Read on to find out about our plans and specific phases news.