… among scientists, researchers, and policy makers across a range of disciplines. Bringing
together leaders from multiple scientific disciplines, Data-Intensive Science … accelerate scientific …

… in developing a data-intensive science workflow for identifying … In this section we explain the
data-intensive science … The basic steps in a data-intensive science workflow for biodiversity …

… Requires scientists to submit final peer-reviewed journal manuscripts that arise from NIH
funds to the digital archive PubMed Central upon … Data-Intensive Scientific Discovery The …

… Scientists in many fields recognize that fundamental changes are under way in the manner in
which research advances. Data-intensive science is now taking a place alongside theoretical …

… It has been postulated that data-intensive science represents the fourth scientific paradigm
… ) and computational (eg simulation) scientific approaches, and comprises an approach for …

… Here, we describe how advances in data-intensive science provide accurate estimates in
species distributions at continental scales by identifying complex environmental associations. …

… Computation and data intensive scientific data analyses are increasingly prevalent. In the …
Two exemplars in the dataintensive domains include High Energy Physics (HEP) and …

… By shifting scientific data processing away from proprietary high … scientific analysis. To
researchers and practitioners unfamiliar with current practice in computational science, the …

… We believe that the potential of data-intensive science will provide the necessary impetus
for communities to change, but this change will take many years to come to full fruition. …

… In data-intensive science, the scale and complexity of data exceeds the comfort zone of local
data stores on scientific … We examine how data-intensive computational systems originally …