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The National Science Foundation funded the University of Central Oklahoma (UCO) for a three-year bridge program to broaden the participation in the Science, Technology, Engineering, and Mathematics (STEM) by female students. UCO is a state university in the United States. The project team proposed a global government-university-industry (GUI) model to collaborate with partnering institutions at the international, federal, and state levels. Partnering institutions included IBM, the FBI, the Oklahoma State Bureau of Investigation (OSBI), the Oklahoma Center for the Advancement of Science and Technology, the Francis Tuttle Innovation Center, and the Established Program to Stimulate Competitive Research. Representatives from these partnering institutions served in the roles of advisory board members and internship sponsors who identified skill requirements and job trends. For phase one (2018), the focus was the research and development (R&D) and the implementation of a STEM program with a focus on Forensics Analytics (FA). The STEM+FA curriculum was designed with real-world applications and emerging technologies (e.g. IBM Watson, simulation, virtual reality). The STEM+FA pilot program consisted of simulated learning environments, STEM modules, cloud-based tutorials, and relational databases. These databases were similar to the Combined DNA Index System and Automated Fingerprint Identification System which have been adopted by the FBI and the OSBI to solve modern-day crimes (e.g. cyber security, homicide). Researchers pilot tested the STEM+FA program by collecting and analyzing quantitative and qualitative data. Findings derived from the pilot study evidenced that the STEM+FA pilot program had positive effects on female student career awareness and perceived competencies; whereas career interest remained unchanged.
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This content will become publicly available on February 19, 2026
Piloting maDMPs for Streamlined Research Data Management Workflows
In response to the growing federal mandates for data management and sharing, the California Digital Library (CDL) and the Association of Research Libraries (ARL) have launched a pilot project to test new workflows at 10 U.S. universities. The project utilizes machine-actionable DMPs (maDMPs) to streamline processes, improve communication, and ensure compliance with federal requirements. This lightning talk will discuss the pilot by exploring three case studies that showcase the use of generative AI for crafting compliant data management plans, maDMPs for deploying computing and storage resources, and tracking research outputs through integration with internal data management platforms.
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- Award ID(s):
- 2332353
- PAR ID:
- 10631813
- Publisher / Repository:
- Zenodo
- Date Published:
- Subject(s) / Keyword(s):
- Curation infrastructure RDM Machine-actionable DMP Data sharing
- Format(s):
- Medium: X
- Location:
- 10.5281/zenodo.14969694
- Sponsoring Org:
- National Science Foundation
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