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...

Objective: Agricultural researchers who follow data sharing best practices advance the state of research in a variety of critical areas including plant breeding, cropping systems, and climate change a...

Objective: As data science becomes more integrated into research and teaching, libraries are well-positioned to support this work. This study examines how a digital scholarship team at Binghamton Univ...

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...

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...

A digital object identifier (DOI) is an increasingly prominent persistent identifier in finding and accessing scholarly information. This paper intends to present an overview of global development and...

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: As data science becomes more integrated into research and teaching, libraries are well-positioned to support this work. This study examines how a digital scholarship team at Binghamton Univ...

Changes in the academic research enterprise environment come with challenges and opportunities for librarians in data services. From integrating AI literacy into information literacy classes, to creat...

Changes in the academic research enterprise environment come with challenges and opportunities for librarians in data services. From integrating AI literacy into information literacy classes, to creat...

This study investigates artificial intelligence (AI) literacy and adoption readiness among 102 librarians in private university libraries in Osun State, Nigeria, using the Technology Acceptance Model ...

A digital object identifier (DOI) is an increasingly prominent persistent identifier in finding and accessing scholarly information. This paper intends to present an overview of global development and...

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: There are limited opportunities and resources for data information literacy at small universities, requiring instructors to make the most of the time they have in the classroom. This articl...

Objective: As data science becomes more integrated into research and teaching, libraries are well-positioned to support this work. This study examines how a digital scholarship team at Binghamton Univ...

Objective: Agricultural researchers who follow data sharing best practices advance the state of research in a variety of critical areas including plant breeding, cropping systems, and climate change a...

As the data fields continue to grow and evolve, it is critical to examine factors that impact the workforce. This study explores various workforce development factors through a survey that asked data workers to describe their time spent on data-related activities, training needed for data-related activities, facilitators and barriers to workforce entry, facilitators and barriers to workforce retention, and the impact of diversity, equity, and inclusion efforts. Drawing together these varied factors allows for examination and triangulation of overlapping factors that shape and contribute to workplace experiences for data professionals.   Author Contributions: Authors made equal contributions

Objective: As data science becomes more integrated into research and teaching, libraries are well-positioned to support this work. This study examines how a digital scholarship team at Binghamton Univ...