Thursday, 26 October 2017
The Human Cell Atlas
Nature article: The Human Cell Atlas: from vision to reality
An ambitious project to map all the cells in the human body gets officially under way, and the atlas will be built as an open global resource.
Tuesday, 24 October 2017
DHS Hidden Signals Challenge
DHS Hidden Signals Challenge
The U.S. Department of Homeland Security (DHS) Science and Technology Directorate (S&T) calls upon data innovators from a wide variety of fields— from data science, to civic tech, to epidemiology— to develop concepts for novel uses of existing data that will identify signals and achieve timelier alerts for biothreats in our cities and communities. Successful concepts will explore connections between multiple readily accessible data sources to develop real-time insights that can improve public safety responses to emerging biothreats.
For more information and to register - Go here
The Nextgov website has an article about the challenge.
The U.S. Department of Homeland Security (DHS) Science and Technology Directorate (S&T) calls upon data innovators from a wide variety of fields— from data science, to civic tech, to epidemiology— to develop concepts for novel uses of existing data that will identify signals and achieve timelier alerts for biothreats in our cities and communities. Successful concepts will explore connections between multiple readily accessible data sources to develop real-time insights that can improve public safety responses to emerging biothreats.
For more information and to register - Go here
The Nextgov website has an article about the challenge.
Cloudy, increasingly FAIR; Revisiting the FAIR Data guiding principles for the European Open Science Cloud
Abstract
The FAIR Data Principles propose that all scholarly output should be Findable, Accessible, Interoperable, and Reusable. As a set of guiding principles, expressing only the kinds of behaviours that researchers should expect from con-temporary data resources, how the FAIR principles should manifest in reality was largely open to interpretation. As support for the Principles has spread, so has the breadth of these interpretations. In observing this creeping spread of interpretation, several of the original authors felt it was now appropriate to revisit the Principles, to clarify both what FAIRness is, and is not.
Mons, B., Neylon, C., Velterop, J., Dumontier, M., Da Silva Santos, L. O. B., & Wilkinson, M. D. (2017). Cloudy, increasingly FAIR; Revisiting the FAIR Data guiding principles for the European Open Science Cloud. Information Services and Use, 37(1), 49–56. https://doi.org/10.3233/ISU-170824
Tuesday, 10 October 2017
JISC Guide: Making your digital collections easier to discover
Making your digital collections easier to discover
Developing techniques to increase reach of your digital collections, optimise them for discovery and evaluate their usage and impact.
Contains the following sub sections:
Sunday, 8 October 2017
Wednesday, 4 October 2017
Scientists Confirm Subatomic Particle Patterns Using Large Hadron Collider Open Data
Interesting Engineering
Mario L. Major 3rd October, 2017
The important results of an experiment involving the Large Hardon Collider (LHC) by a team of MIT physicists were shared last week, and the scientists are hopeful that more scientists in the field of particle physics will be encouraged to share their work.
The main significance of the study is that it was only made possible by CERN’s Open Data portal: through this portal, LHC experiments are made available, eliminating the need for a particle accelerator. Moreover, the findings of a particle collider experiment had never been released to the public before this portal came into existence. Tuesday, 3 October 2017
A Comparative Review of Various Data Repositories
Usability Researcher Derek Murphy and Product Research Specialist Julian Gautier have put together a spreadsheet that compares Dataverse’s features, usage, and governance with other prominent online data repositories:
https://dataverse.org/blog/comparative-review-various-data-repositories
https://dataverse.org/blog/comparative-review-various-data-repositories
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