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Building Culture of Open Data in Bioscience: Honours Students Can Lead The Way (Poster)

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Název: Building Culture of Open Data in Bioscience: Honours Students Can Lead The Way (Poster)
Autoři: Deeb, Haya, Creasey, Suzanna, de Ugarte, Diego Lucini, Strevens, George, Usman, Trisha, Yun Wong, Hwee, Kutzer, Megan A. M., Zieliński, Tomasz, Millar, Andrew J.
Informace o vydavateli: Zenodo, 2024.
Rok vydání: 2024
Témata: FAIR Data, Data Sharing, Open Data Protocol, Open Data
Popis: The realm of scientific research has evolved beyond traditional publications, recognizing the value of underlying data as a fundamental component. Open Data is a vital element of the open research culture, embodying principles of research integrity, collaboration, and resource efficiency. To evaluate open data practices, five undergraduate students together with the BioRDM team assessed data accompanying publications in BioSciences from the University of Edinburgh, using detailed scoring criteria. We scored 555 papers from four bioscience fields based on Completeness, Reusability, Accessibility, and Licence. We found that 105/555 papers shared all necessary data, while 371 shared some data. The fraction of publications with that shared all data increased from 7% in 2014 to 46% in 2023, with significant improvement across all the criteria. Genomic data was shared more frequently than image data. The presence of data availability statements or preprints correlated with higher scores, particularly in completeness, indicating the effectiveness of specific policies. Using a similar methodology, we assessed 114 papers from the Circadian Mental Health Network published in 2023, revealing different trends and challenges. Only 14 shared some or all data. Sharing secondary data and human data were the greatest challenges. Experimental lab studies in the circadian field shared the most data. Our methodology highlights improvements, challenges, and varying compliance levels across research fields. We invite others to apply our protocol to their institutions or research domains, for example in Honours student or internship projects, to advance the culture of Open Data in biosciences. Related Projects: - you can find The Protocol of this work on protocol.io: A Protocol for Assessing Open Data Practices: Honours Students Can Lead the Way. - Biological Science Project Link: BioRDM/InsightsOfOpenPracticesInBiosciences: Data and code that accompany the publication about Open Data practices at the School of Biology at the University of Edinburgh - Circadian Mental Health Network - Open Data Project: https://doi.org/10.5281/zenodo.13710749 - This poster was presented on UK Bioclocks (Home | Bioclocks Uk) Autumn Event on September 2024 - Manchester, UK Contact us: For further inquiries or collaboration with us, please email us at bio_rdm@ed.ac.uk, or please email the corresponding author: Prof Andrew Millar: andrew.millar@ed.ac.uk, Orcid Number: 0000-0003-1756-3654
Druh dokumentu: Conference object
Jazyk: English
DOI: 10.5281/zenodo.14169533
DOI: 10.5281/zenodo.14169532
Rights: CC BY
Přístupové číslo: edsair.doi.dedup.....1a570b9a1f9802f8993ce6a40c3ca4ca
Databáze: OpenAIRE
Popis
Abstrakt:The realm of scientific research has evolved beyond traditional publications, recognizing the value of underlying data as a fundamental component. Open Data is a vital element of the open research culture, embodying principles of research integrity, collaboration, and resource efficiency. To evaluate open data practices, five undergraduate students together with the BioRDM team assessed data accompanying publications in BioSciences from the University of Edinburgh, using detailed scoring criteria. We scored 555 papers from four bioscience fields based on Completeness, Reusability, Accessibility, and Licence. We found that 105/555 papers shared all necessary data, while 371 shared some data. The fraction of publications with that shared all data increased from 7% in 2014 to 46% in 2023, with significant improvement across all the criteria. Genomic data was shared more frequently than image data. The presence of data availability statements or preprints correlated with higher scores, particularly in completeness, indicating the effectiveness of specific policies. Using a similar methodology, we assessed 114 papers from the Circadian Mental Health Network published in 2023, revealing different trends and challenges. Only 14 shared some or all data. Sharing secondary data and human data were the greatest challenges. Experimental lab studies in the circadian field shared the most data. Our methodology highlights improvements, challenges, and varying compliance levels across research fields. We invite others to apply our protocol to their institutions or research domains, for example in Honours student or internship projects, to advance the culture of Open Data in biosciences. Related Projects: - you can find The Protocol of this work on protocol.io: A Protocol for Assessing Open Data Practices: Honours Students Can Lead the Way. - Biological Science Project Link: BioRDM/InsightsOfOpenPracticesInBiosciences: Data and code that accompany the publication about Open Data practices at the School of Biology at the University of Edinburgh - Circadian Mental Health Network - Open Data Project: https://doi.org/10.5281/zenodo.13710749 - This poster was presented on UK Bioclocks (Home | Bioclocks Uk) Autumn Event on September 2024 - Manchester, UK Contact us: For further inquiries or collaboration with us, please email us at bio_rdm@ed.ac.uk, or please email the corresponding author: Prof Andrew Millar: andrew.millar@ed.ac.uk, Orcid Number: 0000-0003-1756-3654
DOI:10.5281/zenodo.14169533