We are excited to announce that UC3, in partnership with PLOS and DataONE, are launching a new project to develop data-level metrics (DLMs). This 12-month project is funded by an Early Concept Grants for Exploratory Research (EAGER) grant from the National Science Foundation, and will result in a suite of metrics that track and measure data use. The […]
Last week I took a lovely train ride through the cow-dotted French countryside to attend the 2014 DataCite Annual Conference. The event was held at the Institut de l’information Scientifique et Technique (INIST) in Nancy, France, which is about 1.5 hours by train outside of Paris. INIST is the French DataCite member (more on DataCite later). […]
Research funders, data managers, librarians, journal editors and researchers themselves are calling for a change in the culture of research to ensure formal data citation is the norm, rather than the exception. Sarah Callaghan looks at the reasons for and against … Continue reading →
The key to verifying and validating research is the identification and access of datasets. But cultural and behavioural barriers to sharing data are still widespread. Rachael Kotarski, the Content Expert for scientific datasets at the British Library, explains why citing data, … Continue reading →
Citation is a defining feature of scholarly publication and if we want to say that a dataset has been published, we have to be able to cite it. The purpose of traditional paper citations– to recognize the work of others and allow readers to judge the basis of the author’s assertions– align with the purpose […]
This week nearly 400 data nerds flooded the National Academy of Sciences in Washington, DC, for the second Plenary Meeting of the Research Data Alliance. I was among those nerds, and I’ll review some highlights of the #RDAplenary in my next blog post. First, however, I want to provide an overview of this thing called […]
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)?…
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.…