Data trajectories: tracking reuse of published data for transitive credit attribution
The ability to measure the use and impact of published data sets is key to the success of the open data / open science paradigm. A direct measure of impact woul...
The ability to measure the use and impact of published data sets is key to the success of the open data / open science paradigm. A direct measure of impact woul...
Sharing research data by depositing it in connection with a published article or otherwise making data publicly available sometimes raises intellectual property...
Digital libraries can be deployed at many points throughout the life cycles of scientific research projects from their inception through data collection, analys...
Objective This study informs efforts to improve the discoverability of and access to biomedical datasets by providing a preliminary estimate of the number and t...
Data reuse and the open data citation advantage : « Background: Attribution to the original contributor upon reuse of published data is important both as a rewa...
Research on practices to share and reuse data will inform the design of infrastructure to support data collection, management, and discovery in the long tail of...
Background Scientific research in the 21st century is more data intensive and collaborative than in the past. It is important to study the data practices of res...