This paper is the second in a series of annual papers about the role 2-year Hispanic Serving Institutions (HSIs) have in educating technicians from underrepresented groups and how the National Science Foundation (NSF) sponsored HSI Advanced Technological Education (ATE) Hub program supports faculty at HSIs in improving Hispanic/Latinx student success. The goal of the HSI ATE Hub project is to build capacity and leadership at 2-year HSIs for developing competitive ATE proposals to NSF to prepare technicians in advanced technologies that drive the American economy. Funded by the NSF ATE Program, the HSI ATE Hub is a three-year collaborative project implemented by Florence Darlington Technical College in South Carolina and the Science Foundation Arizona Center for STEM at Arizona State University. Last year’s paper described the research need, provided a project overview, included baseline and initial data, and discussed early lessons learned and their implications for future research. This paper describes continued fostering of the HSI ATE community (2-year HSIs with grant prospects and awards from the NSF ATE Program), resource dissemination, usage, perceived value to the community, and additional data gathered during the first and second cohorts of HSI ATE Hub, including adjustments based on learnings from year 1. Emphasis will be placed on HSI ATE Community building and resources. Lessons learned and implications for future research are also described in the paper.
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FaceBase 3: analytical tools and FAIR resources for craniofacial and dental research
ABSTRACT The FaceBase Consortium was established by the National Institute of Dental and Craniofacial Research in 2009 as a ‘big data’ resource for the craniofacial research community. Over the past decade, researchers have deposited hundreds of annotated and curated datasets on both normal and disordered craniofacial development in FaceBase, all freely available to the research community on the FaceBase Hub website. The Hub has developed numerous visualization and analysis tools designed to promote integration of multidisciplinary data while remaining dedicated to the FAIR principles of data management (findability, accessibility, interoperability and reusability) and providing a faceted search infrastructure for locating desired data efficiently. Summaries of the datasets generated by the FaceBase projects from 2014 to 2019 are provided here. FaceBase 3 now welcomes contributions of data on craniofacial and dental development in humans, model organisms and cell lines. Collectively, the FaceBase Consortium, along with other NIH-supported data resources, provide a continuously growing, dynamic and current resource for the scientific community while improving data reproducibility and fulfilling data sharing requirements.
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- Award ID(s):
- 1711847
- PAR ID:
- 10300497
- Author(s) / Creator(s):
- ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; more »
- Date Published:
- Journal Name:
- Development
- Volume:
- 147
- Issue:
- 18
- ISSN:
- 0950-1991
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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