What is it about?
The Open PHACTS Discovery Platform aims to provide an integrated information space to advance pharmacological research in the area of drug discovery. Effective drug discovery requires comprehensive data coverage, i.e. integrating all available sources of pharmacology data. While many relevant data sources are available on the linked open data cloud, their content needs to be combined with that of commercial datasets and the licensing of these commercial datasets respected.
Featured Image
Why is it important?
In this paper we discuss the challenges of incorporating private and commercial data into a linked dataspace: focusing on the modelling of these datasets and their interlinking. We also present the graph-based access control mechanism that ensures commercial and private datasets are only available to authorized users.
Read the Original
This page is a summary of: Incorporating Commercial and Private Data into an Open Linked Data Platform for Drug Discovery, January 2013, Springer Science + Business Media,
DOI: 10.1007/978-3-642-41338-4_5.
You can read the full text:
Resources
The Open PHACTS website
This is the project website for Open PHACTS where all major information regarding the project is hosted.
Practical semantics in the pharmaceutical industry – the Open PHACTS project
In this talk we will provide an overview of the traditional approaches major pharmaceutical companies have taken to knowledge management and describe the business reasons why pre-competitive, cross-industry and public-private partnerships have gained much traction in recent years. We will consider the scientific challenges concerning the integration of biomedical knowledge, highlighting the complexities in representing everyday scientific objects in computerised form.
Open PHACTS: Semantic interoperability for drug discovery
Open PHACTS is a public-private partnership between academia, publishers, small and medium sized enterprises and pharmaceutical companies. The goal of the project is to deliver and sustain an 'open pharmacological space' using and enhancing state-of-the-art semantic web standards and technologies. It is focused on practical and robust applications to solve specific questions in drug discovery research.
Contributors
The following have contributed to this page
