Abstract

Many scientists do not share their data due to the cost and lack of incentives of traditional approaches to data sharing. We present a new approach to data sharing that takes into account the cultural practices of science and offers a semantic framework that 1) links dataset contributions directly to science questions, 2) reduces the burden of data sharing by enabling any scientist to contribute metadata, and 3) tracks and exposes credit for all contributors. To illustrate our approach, we describe an initial prototype that is built as an extension of a semantic wiki, can import Linked Data, and can publish as Linked Data any new content created by users.

Date

March 14, 2026

Authors

Yolanda Gil, Varun Ratnakar, Paul C Hanson

Conference

LISC@ ISWC