QUBES: A Community Focused on Supporting Teaching and Learning in Quantitative Biology

Donovan, Sam S; Eaton, Carrie Diaz; Gower, Stith T.; Jenkins, Kristin; LaMar, M. Drew; Poli, DorothyBelle; Sheehy, Robert; Wojdak, Jeremy M.

doi:10.30707/lib2.1donovan

Cited by 22 publications

(8 citation statements)

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“…Professional societies can also reward their members’ participation by highlighting educational activities, assisting in publication, and disseminating educational materials ( NRC, 2003 ). Efforts such as QUBES (Quantitative Undergraduate Biology Education and Synthesis, qubeshub.org; Donovan et al. , 2015 ) can be of assistance in yielding results in these arenas.…”

Section: Discussionmentioning

confidence: 99%

The Case for Biocalculus: Design, Retention, and Student Performance

Eaton

Highlander

2017

LSE

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Section: Discussionmentioning

confidence: 99%

The Case for Biocalculus: Design, Retention, and Student Performance

Eaton

Highlander

2017

LSE

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“…In spring 2018, members of the National Ecological Observatory Network (NEON) partnered with QUBES to create a Data Education FMN, which allowed faculty participants to leverage QUBES project infrastructure (Donovan et al . 2015) to gain experience developing modules that build data skills using NEON data. The quantitative skills range from introducing students to large datasets to best practices in managing and summarizing data to advanced explorations using coding to manipulate, analyze, and visualize NEON data.…”

Section: Opportunities To Improve and Expand Macrosystems Trainingmentioning

confidence: 99%

Training macrosystems scientists requires both interpersonal and technical skills

Farrell

Weathers

Sparks

et al. 2021

Frontiers in Ecol & Environ

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Macrosystems science strives to integrate patterns and processes that span regional to continental scales. The scope of such research often necessitates the involvement of large interdisciplinary and/or multi‐institutional teams composed of scientists across a range of career stages, a diversity that requires researchers to hone both technical and interpersonal skills. We surveyed participants in macrosystems projects funded by the US National Science Foundation to assess the perceived importance of different skills needed in their research, as well as the types of training they received. Survey results revealed a mismatch between the skills participants perceive as important and the training they received, particularly for interpersonal and management skills. We highlight lessons learned from macrosystems training case studies, explore avenues for further improvement of undergraduate and graduate education, and discuss other training opportunities for macrosystems scientists. Given the trend toward interdisciplinary research beyond the macrosystems community, these insights are broadly applicable for scientists involved in diverse, collaborative projects.

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“…The Quantitative Undergraduate Biology Education (QUBES) gateway 11 was launched in 2014 to address challenges in quantitative biology education. QUBES serves a community of about 7000 math and biology educators, professional societies and education projects with an infrastructure that supports the community through communication, sharing of resources, access to software tools, and professional development.…”

Section: Gateway Experiencesmentioning

confidence: 99%

Measuring success for a future vision: Defining impact in science gateways/virtual research environments

Calyam

Wilkins‐Diehr

Miller

et al. 2020

Concurrency and Computation

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Scholars worldwide leverage science gateways/virtual research environments (VREs) for a wide variety of research and education endeavors spanning diverse scientific fields. Evaluating the value of a given science gateway/VRE to its constituent community is critical in obtaining the financial and human resources necessary to sustain operations and increase adoption in the user community. In this article, we feature a variety of exemplar science gateways/VREs and detail how they define impact in terms of, for example, their purpose, operation principles, and size of user base. Further, the exemplars recognize that their science gateways/VREs will continuously evolve with technological advancements and standards in cloud computing platforms, web service architectures, data management tools and cybersecurity. Correspondingly, we present a number of technology advances that could be incorporated in next-generation science gateways/VREs to enhance their scope and scale of their operations for greater success/impact. The exemplars are selected from owners of science gateways in the Science Gateways Community Institute (SGCI) clientele in the United States, and from the owners of VREs in the International Virtual Research Environment Interest Group (VRE-IG) of the Research Data Alliance. Thus, community-driven best practices and technology advances are compiled from diverse expert groups with an international perspective to envisage futuristic science gateway/VRE innovations.

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QUBES: A Community Focused on Supporting Teaching and Learning in Quantitative Biology

Cited by 22 publications

References 0 publications

The Case for Biocalculus: Design, Retention, and Student Performance

The Case for Biocalculus: Design, Retention, and Student Performance

Training macrosystems scientists requires both interpersonal and technical skills

Measuring success for a future vision: Defining impact in science gateways/virtual research environments

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