Publication: The FAIR Guiding Principles for scientific data management and stewardship

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these Read more about Publication: The FAIR Guiding Principles for scientific data management and stewardship[…]

Publication: Nanopublication Guidelines

This document describes the structure of nanopublications and offers guidelines in their composition, implementation and use. It was produced by members of the Concept Web Alliance (CWA), an open collaborative community that is actively addressing the challenges associated with the production, management, interoperability and analysis of unprecedented volumes of data. Paul Groth, Erik Schultes, Mark Read more about Publication: Nanopublication Guidelines[…]

Award-winning Open PHACTS publications

Open PHACTS publications won the top two best paper awards at SWAT4LS 2013: Computing Identity Co-Reference Across Drug Discovery Datasets (Christian Y.A. Brenninkmeijer, Ian Dunlop, Carole Goble, Alasdair J.G. Gray, Steve Pettifer and Robert Stevens) Nanopublications for exposing experimental data in the life-sciences: a Huntingtion’s Disease case study (Eleni Mina, Mark Thompson, Rajaram Kaliyaperumal, Jun Zhao, Read more about Award-winning Open PHACTS publications[…]

Publication: Nanopublications for exposing experimental data in the life-sciences: a Huntingtion’s Disease case study

Data from high throughput experiments often produce far more results than can ever appear in the main text or tables of a single research article. In these cases, the majority of new associations is often archived either as supplemental information in an arbitrary format or in publisher-independent databases that can be difficult to find. These Read more about Publication: Nanopublications for exposing experimental data in the life-sciences: a Huntingtion’s Disease case study[…]

Publication: Generic Information Can Retrieve Known Biological Associations: Implications for Biomedical Knowledge Discovery

Weighted semantic networks built from text-mined literature can be used to retrieve known protein-protein or gene-disease associations, and have been shown to anticipate associations years before they are explicitly stated in the literature. Our text-mining system recognizes over 640,000 biomedical concepts: some are specific (i.e., names of genes or proteins) others generic (e.g., ‘Homo sapiens’). Read more about Publication: Generic Information Can Retrieve Known Biological Associations: Implications for Biomedical Knowledge Discovery[…]

Publication: Theoretical and technological building blocks for an innovation accelerator

Modern science is a main driver of technological innovation. The efficiency of the scientific system is of key importance to ensure the competitiveness of a nation or region. However, the scientific system that we use today was devised centuries ago and is inadequate for our current ICT-based society: the peer review system encourages conservatism, journal Read more about Publication: Theoretical and technological building blocks for an innovation accelerator[…]

Publication: Microattribution and nanopublication as means to incentivize the placement of human genome variation data into the public domain

The advances in bioinformatics required to annotate human genomic variants and to place them in public data repositories have not kept pace with their discovery. Moreover, a law of diminishing returns has begun to operate both in terms of data publication and submission. Although the continued deposition of such data in the public domain is Read more about Publication: Microattribution and nanopublication as means to incentivize the placement of human genome variation data into the public domain[…]

Publication: The Value of Data

Data citation and the derivation of semantic constructs directly from datasets have now both found their place in scientific communication. The social challenge facing us is to maintain the value of traditional narrative publications and their relationship to the datasets they report upon while at the same time developing appropriate metrics for citation of data Read more about Publication: The Value of Data[…]