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Zhifang Tu; Jiashu Shen – Research Evaluation, 2024
The economic significance of open research data is widely acknowledged, yet its quantification remains challenging. This paper presents an effective valuation instrument to help stakeholders understand and evaluate the economic benefits of open research data. By conducting a scoping review and prioritizing user engagement, this study introduces a…
Descriptors: Open Education, Economics, Data, Access to Information
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Christine M. White; Stephanie A. Estrera; Christopher Schatschneider; Sara A. Hart – Grantee Submission, 2024
Researchers in the education sciences, like those in other disciplines, are increasingly encountering requirements and incentives to make the data supporting empirical research available to others. However, the process of preparing and sharing research data can be daunting. The present article aims to support researchers who are beginning to think…
Descriptors: Data, Educational Research, Information Dissemination, Incentives
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Joel Nakitare; Salome Mathangani; Grace Kamau – portal: Libraries and the Academy, 2024
Effective research data management (RDM) is essential to modern scientific investigations. As the volume and complexity of research data increase, researchers, research institutions, and countries are pressured to improve data management practices to ensure transparency, reproducibility, sharing, and reuse of their findings. Researchers and…
Descriptors: Foreign Countries, Information Management, Research, Data
Jojo Manai; Jeremy Roschelle – Digital Promise, 2024
In every school, dedicated teachers strive to support their students' unique learning journeys. Imagine a classroom where potential challenges are quickly identified and met with precise interventions. Imagine a school or school district where the many potential ways to solve problems can be quickly tested, and the best solutions rapidly scaled up…
Descriptors: Technology Uses in Education, Problem Solving, Data, Researchers
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Harun Serpil; Eren Kesim – Open Praxis, 2024
This study aims to perform a descriptive analysis of the websites of public and foundation universities in Türkiye to reveal the current positioning context of their units in relation to artificial intelligence (AI) ecosystems. The study was designed using a holistic multiple case study method, in which the dimensions specified in the…
Descriptors: Artificial Intelligence, Higher Education, Technology Uses in Education, Global Approach