Human genome editing, 3-D-printed replacement organs and artificial photosynthesis - the field of bioengineering offers great promise for tackling the major challenges that face our society. But as a new article out today highlights, these developments provide both opportunities and risks in the short and long term.
Researchers in physics and mathematics have long used 'preprints' -- preliminary versions of their scientific findings published on internet servers for anyone to read. In 2013, similar services were launched for biology, but following a chance discovery, Matthew Cobb, a scientist and historian at the University of Manchester, has unearthed a long-forgotten experiment in biology preprints that took place in the 1960s. He has written about them in a study publishing Nov. 16 in the open-access journal PLOS Biology.
Engineering education is chronically challenged by dynamics in information technology, work environments, and the public's perception of the engineer's role in society. Eindhoven University of Technology in the Netherlands has risen to this challenge, redesigning its entire undergraduate program in an effort to meet the demands of the 21st century engineering profession. Rudi Bekkers and Gunter Bombaerts chronicle this journey and the lessons learned in the current issue of Technology and Innovation.
The current issue of Technology and Innovation, Journal of the National Academy of Inventors ® (19.2) examines innovation from the university perspective, highlighting what the most innovative institutions and educators worldwide are doing to prepare future engineers and industry leaders to effectively manage IP to grow their companies and the global economy as a whole.
Having worked with seven volunteering IDRC-funded development research projects for sixteen months, a pilot data sharing project led by Professor Cameron Neylon and also funded by IDRC, has published its final report in the dedicated collection in the innovative open science journal Research Ideas and Outcomes (RIO). From the grant proposal, through data management plans and the final research article, the collection describes how funder policies can help, and hinder, culture change towards data sharing.
Efforts to rid the world of polio have taken another significant step, thanks to research led by University of Queensland bioscience experts and funding from the World Health Organisation (WHO). A fresh study of the Nanopatch -- a microscopic vaccine delivery platform first developed by UQ researchers -- has shown the device more effectively combats poliovirus than needles and syringes.
In a commentary published July 20 in the journal Science, lead author Carole Lee and co-author David Moher identify incentives that could encourage journals to 'open the black box of peer review' for the sake of improving transparency, reproducibility and trust in published research.
'Big data' research runs the risk of being undermined by the poor design of the digital identifiers that tag data. A group of worldwide researchers, led by Julie McMurry, at Oregon Health & Science University, has assembled a set of pragmatic guidelines to create, reference and maintain web-based identifiers to improve reproducibility, attribution, and scientific discovery. The guidance, publishing June 29 in the open access journal PLOS Biology helps address the frequent problems associated with persistent identifiers linked to scientific data.
Advances in genetic sequencing and other technologies have led to an explosion of biological data, and decades of openness (both spontaneous and enforced) mean that scientists routinely deposit data in online repositories. But researchers are only human and may forget to tell a repository to release the data when a paper is published.
Scientists at the Centre for Genomic Regulation (CRG) in Barcelona, Spain, have developed a workflow management system that prevents irreproducibility when analyzing large genomics datasets with computers. Nextflow contributes to establishing good scientific practices and provides an important framework for those research projects where the analysis of large datasets are used to take decisions, for example, in precision medicine.