Objective: Many researchers use cloud file storage platforms such as Box and Google Drive as the sole data management platform for all of their research data throughout the course of their projects. R...

Objective: The university library aims to provide university researchers with a trustworthy institutional repository for sharing data. The library sought CoreTrustSeal certification in order to measur...

This dataset contains database pricing and agreements received through public records requests made to members of the Association of Research Libraries (ARL) and a few non-ARL research libraries. Pric...

We provide an overview of the use of machine-learning and artificial intelligence at the Vanderbilt Television News Archive (VTNA). After surveying our major initiatives to date, which include the ful...

Respect for research participant rights is a key aspect for consideration when creating and utilizing interoperable data. From that perspective, requirements for sharing research data often call for t...

Objective: Persistent Identifiers (PIDs) are central to the vision of open science described in the FAIR Principles. However, the use of PIDs for scientific instruments and facilities is decentralized...

In the fall of 2022, the Carnegie Mellon University (CMU) Libraries began investigating Keenious—an artificial intelligence (AI)-based article recommender tool—for a possible trial implementation to i...

Objective: An area of research in which open science may have particularly high impact is in deep learning (DL), where researchers have developed many algorithms to solve challenging problems, but oth...

An interdisciplinary academic team offers a comprehensive case study describing the development of a predictive model as the cornerstone for an open science recommendation system tailored to the Carne...