Constructive Sciences and Data Sciences

Linked Data for Life Sciences

Massive amounts of data are currently available and being produced at an unprecedented rate in all domains of life sciences worldwide. However, this data is disparately stored and is in different and unstructured formats making it very hard to integrate. In this review, we examine the state of the art and propose the use of the Linked Data (LD) paradigm, which is a set of best practices for pub...

Data clustering in life sciences.

Clustering has a wide range of applications in life sciences and over the years has been used in many areas ranging from the analysis of clinical information, phylogeny, genomics, and proteomics. The primary goal of this article is to provide an overview of the various issues involved in clustering large biological datasets, describe the merits and underlying assumptions of some of the commonly...

Exploring Life Sciences Data Sources

in Humanities , Social Sciences , and Natural Sciences

Data visualization in political and social sciences

The basic objective of data visualization is to provide an efficient graphical display for summarizing and reasoning about quantitative information. Data visualization should be distinguished from other types of visualization used in political science (more general information and knowledge visualization, concept visualization, strategy and workflow visualization, metaphor visualization, etc.) ...