Category: big data

The availability of open data and new trends in data visualisation will transform how we understand our cities.

Due to the increasing availability of large urban datasets, it is now becoming easier to produce online visualisations that capture and help interpret the complex spatial dynamics of cities. Duncan A. Smith argues that as further open datasets are made available, … Continue reading

Astronomical Data and Astronomical Digital Stewardship: An interview with Brian Schmidt

The following is a guest post from Jane Mandelbaum, co-chair of the National Digital Stewardship Alliance Innovation Working group and IT Project Manager at the Library of Congress. As part of our ongoing series of insights discussions with individuals doing innovative work related to digital preservation and stewardship I am excited to talk with Brian Schmidt. Brian […]

Five recommendations for maximising the relevance of social science research for policy-making in the big data era

The quantity and influence of generalisable data presents challenges and opportunities for public policy making. Helen Margetts discusses how social scientists can help policy-makers in this changed environment, ensuring that social science research remains relevant, and warns that social science … Continue reading

Big Data: Call for your words and images

Our three-part series on Big Data is an invitation to discussion.
We’re looking for YOUR best stories, essays and images related to Big Data in ecology and environmental science. We’ll highlight excerpts from our favorites here on our blog will be available within the comments of this blog.
We’re aiming to represent a range of ideas as well as cultivate deep discussions around focused subtopics. As long as it relates to Big Data and ecology/environmental science it’s fair game, but we are particularly interested in discussion of the following points:

What’s one of the biggest challenges of ecological Big Data, and how can/should we address it (or what is someone already doing to address it)?…

Macrosystems Biology: How to share, manage and cite big data and team science?

Last month, I participated in the first Principal Investigator meeting of NSF’s new Macrosystems Biology program. The NSF solicits proposals to “support quantitative, interdisciplinary, systems-oriented research on biosphere processes and their complex interactions with climate, land use, and invasive species at regional to continental scales.”
The first groups of projects cover an incredible range of topics, and are embracing a wide range of research approaches. In a pre-meeting survey, projects reported using simulation models, developing new theory, fitting empirical models to multi-scaled data, analyzing paleoecological data and implementing experiments across linked networks ofsites. Almost half the groups reflected the newness of the continental-scale approach by including significant educational activities.…