Carole Goble

TL;DR: This work designs and implements an approach to improving workflow structure by way of rewriting preserving workflow semantics and introduces a distilling algorithm that takes in a workflow and produces a distilled semantically-equivalent workflow.

TL;DR: In reviewing provenance support, one of the important knowledge management issues in bioinformatics is reviewed and it is suggested that in Silico experimental protocols should themselves be a form of managing the knowledge of how to perform bioinformics analyses.

TL;DR: This work proposes simple methods and tools for assembling, sharing, and analyzing large and complex datasets that scientists can easily integrate into their daily workflows and combines a simple and robust method for describing data collections, data descriptions, and simple persistent identifiers to create a powerful ecosystem of tools and services for big data analysis and sharing.

TL;DR: This paper explains how MoCs are combined in Kepler and Ptolemy II and analyzes which combinations of MoC are currently possible and useful and demonstrates the approach by combining MoCs involving dataflow and finite state machines.

TL;DR: Building on the success of Schema.org for making a wide range of structured web content more discoverable and interpretable, e.g. food recipes, the Bioschemas community aim to make life sciences datasets more findable by encouraging data providers to embed Schema.