Tag Archives: data reuse

#scidata16 keynote highlights: “Research data management for early career researchers”

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Data management is a crucial component of scientific research and one that should be tackled by early career researchers before they become swamped with data, says Erica Brockmeier.

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PhD students and early career researchers have a lot on their to-do lists, everything from writing papers and applying for grants to staying on top of the latest findings in their field. The third keynote of the #scidata16 conference highlighted yet another important facet of a research career: data management. Kevin Ashley, based at the University of Edinburgh, gave a thought-provoking presentation on this topic. As director of the Digital Curation Centre in Edinburgh, Scotland, Mr. Ashley and his team provide advice, guidance and training for researchers, alongside consultancy services on all aspects of data management and data reuse. Continue reading →

Data Reuse: An Interview with Daniele Marinazzo

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Data Reuse Daniele Marianazzo

Daniele Marinazzo with data from Gorgolewski et al. paper {credit}Daniele Marinazzo{/credit}

Daniele Marinazzo is an associate professor at the University of Ghent in the department of Data Analysis of the Faculty of Psychology and Pedagogical Sciences.

He and his research group focus on methodological and computational aspects of neuroscience research. In particular developing, implementing and validating methods rooted in statistical physics for the study of brain connectivity and activity – investigating how information is stored and transferred in complex networks and how these results are then translated to the brain. Usually their validation of methodologies is done on publicly available data, and the code is always shared.

Daniele became aware of a dataset that could be of benefit to his research through the author of the data posting about it on Twitter. Daniele was then able to effectively utilise and implement this data into his research after the author of the original data published a Data Descriptor in Scientific Data. We caught up with Daniele to find out about his experiences of finding, sharing and using data. Continue reading →