Monthly Archives: March 2016

Call for submissions: Replication data

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Call for Submissions

Special Article Collection
Replication data

Organizers:

Brian Nosek (Center for Open Science & University of Virginia)

Andy DeSoto (Association for Psychological Science)

Martin Schweinsberg (INSEAD)

Partnered with the Open Science Framework

Scientific Data is inviting submissions releasing and describing datasets generated in the process of attempting to replicate one or more previous experimental studies. Submissions may be from a wide range of research disciplines including, but not limited to, the domains of psychology, biology and Earth science. Submitted articles may be considered for inclusion in a special article collection. Continue reading →

Call for submissions: Functional genomic screening data

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Call for Submissions

Special Article Collection
High Throughput Functional Genomic Screening
Organizers: Dr. Kaylene Simpson (Peter Mac) and Dr. Jennifer Smith (Harvard Medical School)

Scientific Data is inviting submissions releasing and describing functional genomic high throughput screen datasets. Submissions may be from a range of screening strategies that relied on a variety of different functional genomic libraries, including siRNA, shRNA, CRISPR, as well as cDNA and ORF overexpression libraries. Submitted articles may be considered for inclusion in a special article collection to be launched in September 2016. 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 →