المؤلفون: Kimberly A. Dill-McFarland (3283191), Stephan G. König (10196149), Florent Mazel (672572), David C. Oliver (9671075), Lisa M. McEwen (4807437), Kris Y. Hong (10196152), Steven J. Hallam (748916)

مصطلحات موضوعية: Biochemistry, Genetics, Biotechnology, Science Policy, data science competency, life scientists, Preliminary survey results, data science education, student self-reported interest, data science, mass spectrometry platforms, data science curricula, EDUCE, life sciences, data science curriculum, Experiential Data science, data science modules, Undergraduate Cross-Disciplinary Ed., TA

Relation: https://figshare.com/articles/journal_contribution/EDUCE_course_surveys_/14115973

الاتاحة: https://doi.org/10.1371/journal.pcbi.1008661.s001

المؤلفون: Kimberly A. Dill-McFarland (3283191), Stephan G. König (10196149), Florent Mazel (672572), David C. Oliver (9671075), Lisa M. McEwen (4807437), Kris Y. Hong (10196152), Steven J. Hallam (748916)

مصطلحات موضوعية: Biochemistry, Genetics, Biotechnology, Science Policy, data science competency, life scientists, Preliminary survey results, data science education, student self-reported interest, data science, mass spectrometry platforms, data science curricula, EDUCE, life sciences, data science curriculum, Experiential Data science, data science modules, Undergraduate Cross-Disciplinary Ed., TA

Relation: https://figshare.com/articles/dataset/EDUCE_courses_in_MICB_/14115988

الاتاحة: https://doi.org/10.1371/journal.pcbi.1008661.t001

المؤلفون: Kimberly A. Dill-McFarland (3283191), Stephan G. König (10196149), Florent Mazel (672572), David C. Oliver (9671075), Lisa M. McEwen (4807437), Kris Y. Hong (10196152), Steven J. Hallam (748916)

مصطلحات موضوعية: Biochemistry, Genetics, Biotechnology, Science Policy, data science competency, life scientists, Preliminary survey results, data science education, student self-reported interest, data science, mass spectrometry platforms, data science curricula, EDUCE, life sciences, data science curriculum, Experiential Data science, data science modules, Undergraduate Cross-Disciplinary Ed., TA

Relation: https://figshare.com/articles/figure/EDUCE_curriculum_in_microbiology_/14115979

الاتاحة: https://doi.org/10.1371/journal.pcbi.1008661.g002