Database technology remains underused in science, especially in the long tail—the small
labs and individual researchers that collectively produce the majority of scientific output …

The appropriateness of spatial prediction methods such as Kriging, or aggregation methods
such as summing observation values over an area, is currently judged by domain experts …

Data volumes from multiple sky surveys have grown from gigabytes into terabytes during the
past decade, and will grow from terabytes into tens (or hundreds) of petabytes in the next …

As our capacity to study ever-expanding domains of our science has increased (including
the time domain, non-electromagnetic phenomena, magnetized plasmas, and numerous sky …

What exactly does interoperability mean in the context of information science? Which entities
are supposed to interoperate, how can they interoperate, and when can we say they are …

The maturation of database management system (DBMS) technology [1] has coincided with
significant developments in distributed computing and parallel processing technologies. The …

Motivated by eScience applications, we explore automatic generation of example" starter"
queries over unstructured collections of tables without relying on a schema, a query log, or …

How can data analysts identify spatio-temporal datasets that are suitable for their task?
Answering this question is not only dependent on the aim of the analysis and the semantic …

Linkitup is a Web-based dashboard for enrichment of research output published via industry
grade data repository services. It takes metadata entered through Figshare. com and tries to …

Relational databases remain underused in the long tail of science, despite a number of
significant success stories and a natural correspondence between scientific inquiry and ad …