Background Data provenance refers to the origin, processing, and movement of data.
Reliable and precise knowledge about data provenance has great potential to improve …

In this survey, we discuss the challenges of executing scientific workflows as well as existing
Machine Learning (ML) techniques to alleviate those challenges. We provide the context …

The Software for Assisted Habitat Modeling (SAHM) has been created to both expedite
habitat modeling and help maintain a record of the various input data, pre‐and post …

Science has long placed an emphasis on revisiting and reusing past results: reproducibility
is a core component of the scientific process. Testing and extending published results are …

The Web is evolving into a complex information space where the unprecedented volume of
documents and data will offer to the information consumer a level of information integration …

Providing an appropriate level of accessibility to and tracking of data or process elements in
large volumes of medical data, is an essential requirement in the Big Data era. Researchers …

Cost prediction for the construct project relies on the overall development policy of the
project and the development of the related management system based on all related …

In the past decade, scientific workflow systems have significantly improved scientists' ability
to structure scientific processes, use computational resources, and analyze their data more …

Visualisation underpins the understanding of scientific data both through exploration and
explanation of analysed data. Provenance strengthens the understanding of data by …

Summary The use of Big Data and the development of cloud computing have led to greater
dependence on data‐intensive services. Each service may actually request or create a large …