Event box

New Incentives for Data Sharing and the Author-Curated Data Reuse Model(BAOSC)

Map of the San Francisco Bay Area with text BAOSG and an icon of a microscope at the bottom

Event Details:

In April we will be joined by Tim Glinin from UCSF, who will present a new framework for data sharing designed to address a central challenge in open science: how to incentivize researchers to share high-quality datasets while ensuring appropriate credit and continued scientific involvement. His work introduces an “author-curated data reuse” model and a Collaboration Requirement License (CRL), combining open access to datasets with a structured mechanism for collaboration between data creators and data users. The discussion will explore why only a limited number of well-annotated, high-quality datasets are available in open repositories, what barriers prevent researchers from sharing data in a form that supports meaningful reuse, and how new models may increase dataset publication, improve data quality, and support reproducibility, while positioning datasets as independent research outputs. 

The session will be followed by an open discussion, and participants will be invited to join a working group focused on testing and implementing this model. As demand for large, well-annotated datasets continues to grow—driven by advances in AI and data-intensive research—developing effective incentives for data sharing is becoming increasingly critical. Approaches such as author-curated data reuse may also help address aspects of the replication crisis by improving data interpretation, documentation, and collaborative validation of results.

This is an online event. PLEASE REGISTER FOR THE EVENT HERE.

 
About the Bay Area Open Science Group

The Bay Area Open Science Group is a growing community for Bay Area academics and researchers interested in incorporating open science into their research, teaching, and learning. Targeting students, faculty, and staff at UCSF, Berkeley, and Stanford, the goal of the community is to increase awareness of and engagement with all things open science, including open access articles, open research data, open source software, and open educational resources. Through this work the group hopes to connect researchers with tools they can use to make the products and process of science more equitable and reproducible. 

We welcome all participants to our events. If you need a reasonable accessibility accommodation to participate in this event, please contact Kristen Greenland (kgreenland@stanford.edu) as soon as possible.

Date:
Tuesday, April 28, 2026
Time:
2:00pm - 3:00pm
Instructor(s):
Tim Glinin, UCSF
Categories:
Data Science Discussion Groups Research & Resources