A protocol for working with open-source neuroimaging datasets

Horien, Corey; Lee, K.; Westwater, Margaret L.; Noble, Stephanie; Tejavibulya, Link; Kayani, Teimur; Constable, R. Todd; Scheinost, Dustin

doi:10.1016/j.xpro.2021.101077

Cited by 3 publications

(1 citation statement)

References 47 publications

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“…to download, host, and process these data) is nontrivial, as it requires expertise in research data management as well as access to large storage servers and high performance computing systems. To give a simple example, raw data from the ABCD dataset comprises 1.35 GB per individual totalling to about 13.5 TB for the first release of over 10,000 individuals (Horien et al 2022). The computational resources necessary to handle such data can be challenging to obtain for early career researchers and those working in organizations that do not support supercomputing facilities.…”

Section: Limited Access To Publicly Available Datamentioning

confidence: 99%

Creating Diverse and Inclusive Scientific Practices for Research Datasets and Dissemination

Kam,

Badhwar,

Borghesani

et al. 2024

Preprint

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Diversity, equity, and inclusivity (DEI) are important for scientific innovation and progress. This widespread recognition has resulted in numerous initiatives for enhancing DEI in recent years. Although progress has been made to address gender and racial disparities, there remains to be biases that limit the opportunities for historically underrepresented individuals to succeed in academia. As members of the Organization for Human Brain Mapping (OHBM) Diversity and Inclusivity committee (DIC), we identified the most challenging and imminent obstacles towards improving DEI practices in the broader neuroimaging field. These obstacles include the lack of diversity in and accessibility to publicly available datasets, barriers in research dissemination, and/or barriers related to publishing. In order to increase diversity and promote equity and inclusivity in our scientific endeavors, we suggest potential solutions that are practical and actionable to overcome these barriers. We emphasize the importance of the enduring and unwavering commitment required to advance DEI initiatives consistently. By doing so, the OHBM and perhaps other neuroscience communities will strive towards a future that is not only marked by scientific excellence but also characterized by diversity, inclusivity and equitable opportunities for all including historically underrepresented individuals internationally.

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Section: Limited Access To Publicly Available Datamentioning

confidence: 99%

Creating Diverse and Inclusive Scientific Practices for Research Datasets and Dissemination

Kam,

Badhwar,

Borghesani

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Creating diverse and inclusive scientific practices for research datasets and dissemination

Kam,

Badhwar,

Borghesani

et al. 2024

Imaging Neuroscience

View full text Add to dashboard Cite

Diversity, equity, and inclusivity (DEI) are important for scientific innovation and progress. This widespread recognition has resulted in numerous initiatives for enhancing DEI in recent years. Although progress has been made to address gender and racial disparities, there remain biases that limit the opportunities for historically underrepresented researchers to succeed in academia. As members of the Organization for Human Brain Mapping (OHBM) Diversity and Inclusivity Committee (DIC), we identified the most challenging and imminent obstacles towards improving DEI practices in the broader neuroimaging field. These obstacles include the lack of diversity in and accessibility to publicly available datasets, barriers in research dissemination, and/or barriers related to equitable career advancements. In order to increase diversity and promote equity and inclusivity in our scientific endeavors, we suggest potential solutions that are practical and actionable to overcome these barriers. We emphasize the importance of the enduring and unwavering commitment required to advance DEI initiatives consistently. By doing so, the OHBM and perhaps other neuroscience communities will strive towards a future that is not only marked by scientific excellence but also characterized by diverse, inclusive and equitable opportunities for all, including historically underrepresented individuals around the world.

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Constructing and exploring neuroimaging projects: a survey from clinical practice to scientific research

Chen,

Adegboro,

et al. 2024

Insights Imaging

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Over the past decades, numerous large-scale neuroimaging projects that involved the collection and release of multimodal data have been conducted globally. Distinguished initiatives such as the Human Connectome Project, UK Biobank, and Alzheimer’s Disease Neuroimaging Initiative, among others, stand as remarkable international collaborations that have significantly advanced our understanding of the brain. With the advancement of big data technology, changes in healthcare models, and continuous development in biomedical research, various types of large-scale projects are being established and promoted worldwide. For project leaders, there is a need to refer to common principles in project construction and management. Users must also adhere strictly to rules and guidelines, ensuring data safety and privacy protection. Organizations must maintain data integrity, protect individual privacy, and foster stakeholders’ trust. Regular updates to legislation and policies are necessary to keep pace with evolving technologies and emerging data-related challenges. Critical relevance statement By reviewing global large-scale neuroimaging projects, we have summarized the standards and norms for establishing and utilizing their data, and provided suggestions and opinions on some ethical issues, aiming to promote higher-quality neuroimaging data development. Key Points Global neuroimaging projects are increasingly advancing but still face challenges. Constructing and utilizing neuroimaging projects should follow set rules and guidelines. Effective data management and governance should be developed to support neuroimaging projects. Graphical Abstract

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A protocol for working with open-source neuroimaging datasets

Cited by 3 publications

References 47 publications

Creating Diverse and Inclusive Scientific Practices for Research Datasets and Dissemination

Creating Diverse and Inclusive Scientific Practices for Research Datasets and Dissemination

Creating diverse and inclusive scientific practices for research datasets and dissemination

Constructing and exploring neuroimaging projects: a survey from clinical practice to scientific research

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