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This looks like an interesting effort to make research data more accessible in Australia. I really like their slogan - ANDS enables the transformation of: Data that are: to Structured Collections that are: Unmanaged --> Managed Disconnected --> Connected Invisible --> Findable Single-use --> Reusable ...so that Australian researchers can easily publish, discover, access and use research data.

Unfortunately, when you say big data in educational circles it applies only to data about educational outcomes not students tapping into scientific research data.

Develops the analogy of a data scientist to a composer.

A nice introduction to data deluge, data science, and data literacy in education.

This is an interesting "dear colleague" letter from the NSF Geosciences Director that encourages researchers to engage in "data citation" so that the data is accessible to others.

Collections of public data sets and tools for exploring them. You can learn more in the blog post announcing Public Data Explorer.

"Data Basin is a free, online system that connects users with spatial datasets, tools, and expertise. Individuals and organization can explore and download a vast library of datasets, upload their own data, create and publish analysis, utilize working groups, and produce customized maps that can be easily shared."

This will be interesting to track. A joint call for proposals from NSF and NIH. From the call, "BIGDATA seeks proposals that develop and evaluate core technologies and tools that take advantage of available collections of large data sets to accelerate progress in science, biomedical research, and engineering."

A press release from NSF about their new efforts related to big data. Lots of interesting stuff here.

The Feb 11 2011 issue of Science focused on issues around the volume of research data and how it is changing the ways we do science.

This blog entry describes the skill set of a data scientist with a venn diagram.

A great set of examples of how big data can be mined and used for the public good. 

This article has descriptions of estimated changes in the expense and speed for genomic sequencing and interpretation.

This article discusses the important role that biostatistician play in dealing with the evolving world of big data in biological and biomedical research.

This is the blog associated with the Teaching with Data.org project. It focuses on developing quantitative literacy in the social sciences.

This post describes a course built around the philosophy that students should be working with real data and solving real problems. 

Are some of the skills listed here appropriate for what we expect future scientists to be able to do?

Great discussion of some of the ways that Cliff's research engages students in thinking about error, variation, repeated measures, and the relationships between models and data.

This is a great example of how environmental sensors can be used to collect local data and feed into shared databases. It would be really interesting to think about what types of school science could be tied to this resource.