Funder: Stanford University
Due Dates: January 8, 2027 (Seed Funding deadline) | January 9, 2027 (Program-page proposals due, 11:59 p.m. Pacific Time) | February 15, 2027 (Award decisions)
Funding Amounts: Up to $200,000 per proposal; initial term up to 2 years, with exceptions considered case by case
Summary: Supports Stanford researchers acquiring and preparing datasets for shared campus use across disciplines.
Key Information: Applicants must partner with an existing data-acquisition hub and commit to immediate shared availability of funded datasets.
Description
Stanford’s Dataset Sharing for Research (D-ShaRe) Program supports acquiring datasets of broad scholarly value and the lifecycle costs of making them accessible for shared research. Modeled on the Community of Shared Research Platforms (C-ShaRP) Instrumentation & Enhancement Program, it coordinates investment across existing data-acquisition hubs rather than consolidating data ownership. The program welcomes proposals across all disciplines.
Support includes acquisition, initial subscriptions, storage setup, curation, onboarding, licensing negotiations, disclosure-risk review, de-identification, and discoverable metadata. It also supports one-time enhancements that make already-licensed datasets reusable or AI-ready. Priorities include broad interdisciplinary utility, large-dataset research, text-and-data mining and AI/ML training rights, access for early- and mid-career investigators, improved discoverability, and reduced duplication across schools and units.
