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Digital open science-Teaching digital tools for reproducible and transparent research.

ABSTRACT: An important hallmark of science is the transparency and reproducibility of scientific results. Over the last few years, internet-based technologies have emerged that allow for a representation of the scientific process that goes far beyond traditional methods and analysis descriptions. Using these often freely available tools requires a suite of skills that is not necessarily part of a curriculum in the life sciences. However, funders, journals, and policy makers increasingly require researchers to ensure complete reproducibility of their methods and analyses. To close this gap, we designed an introductory course that guides students towards a reproducible science workflow. Here, we outline the course content and possible extensions, report encountered challenges, and discuss how to integrate such a course in existing curricula.

SUBMITTER: Toelch U

PROVIDER: S-EPMC6095603 | biostudies-other | 2018 Jul

REPOSITORIES: biostudies-other

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Digital open science-Teaching digital tools for reproducible and transparent research.

Toelch Ulf U Ostwald Dirk D

PLoS biology 20180726 7

An important hallmark of science is the transparency and reproducibility of scientific results. Over the last few years, internet-based technologies have emerged that allow for a representation of the scientific process that goes far beyond traditional methods and analysis descriptions. Using these often freely available tools requires a suite of skills that is not necessarily part of a curriculum in the life sciences. However, funders, journals, and policy makers increasingly require researcher ...[more]

PMID: 30048447

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Project description:IntroductionOnce considered a supplement to traditional teaching approaches, digital tools now play a pivotal role in building core clinical competencies. This study aims to explore staff and student experiences of navigating the challenges of teaching and assessing clinical skills using digital technology. It also aims to provide insight into what skills, or aspects of skills, may be best suited to digitally enhanced teaching, thereby advancing the future of health science education.MethodsThis qualitative study comprises the second phase of data generation for a mixed-methods research project entitled DEPTH (Digitally Enhanced Practical Teaching in Health Science). Health science staff and students expressed interest in taking part in the current study during the first stage of data collection. Qualitative data was collected in January 2022 through semi-structured group interviews and individual semi-structured interviews. An interpretivist qualitative research design underpinned by a critical realist epistemological position was used. Themes were generated following Braun and Clarke's 6-step process for reflexive thematic analysis.ResultsOverall, 10 staff and 8 students across 11 health science disciplines participated in this research. Fourteen hours of transcripts were analysed and 4 themes generated. Our findings highlight the suitability of digitally enhanced teaching for low-stake skills requiring visual and auditory training, while skills requiring tactile training require in-person practice to build student competency. Importantly, our findings indicate a desire for increased remote teaching. While our work was not specifically aimed at documenting experiences related to the Covid-19 pandemic, all participants had lived experience teaching or learning during the pandemic and many spoke specifically about this.ConclusionsThe timing of this paper captures a novel moment in the history of clinical pedagogy. Staff and students advocate for the continued integration of technology into health science education generally, and clinical skills teaching specifically. For this to be successful, judicious selection of methods, skills, skill components and technology, that can be appropriately mapped onto specific learning outcomes, is required.

Dataset Information

Digital open science-Teaching digital tools for reproducible and transparent research.

Publications

Digital open science-Teaching digital tools for reproducible and transparent research.

Similar Datasets

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