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Aggregating data within the realm of rare diseases and cancers is paramount to gaining statistically significant insights into these diseases. To achieve this, the Australian BioCommons has launched the Human Genome Platforms Project (HGPP) to align and build on global standards such as the Global Alliance for Global Health's Beacon specification. This involves the collaboration of numerous institutes across several sub-projects focused on Data Access Control (DAC) automation, federated identity management and data archiving. Here, we outline our methods and associated challenges with implemented the Beacon version 2 protocol, as well as the Beacon Network and interface.

The Human Genomes Platforms Project (HGPP) aims to leverage best practice technologies and global standards to accelerate Findable, Accessible, Interoperable, Reuseable (FAIR) human genomics data sharing in Australia. Involving leading Australian human genomics research organisations, along with national computing infrastructure partners, the HGPP is breaking down silos and facilitating the deployment of much needed genomic data sharing infrastructure in Australia. The main project themes are: virtual cohort assembly; data access committee (DAC) automation; federated identity and access management; data and metadata archiving; and documentation, communications and training. We are collaborating with partners internationally to bring best practice technologies to Australia. This includes: Investigating emerging Global Alliance for Genomics and Health (GA4GH) standards including Beacon v2 for virtual cohort assembly and Passports to enable access to data Assessing software including Resource Entitlement Management System (REMS) and Data Use Oversight System (DUOS) to facilitate the Data Access Request and Approval process undertaken by DACs Establishing a national life science authentication service using CILogon Investigating the feasibility of a Federated European Genome-Phenome Archive (FEGA) node in Australia Ensuring all aspects of the project are well-documented as well as hosting webinars and training sessions to ensure outputs are easily adopted by the community Here we introduce the HGPP, an Australian Research Data Commons (ARDC) and Bioplatforms Australia funded project with in-kind contributions from partner organisations. We describe our achievements to date, outline our upcoming plans for the project and how they will improve the landscape of human genomics data sharing for Australian researchers.

We investigated frequency of consumption and location of obtaining snack foods and sociodemographic differences therein. Data: cross-sectional survey data (N = 1784 Dutch adults 18–65 years) on the frequency of consumption of 10 snack foods and where they obtained them. Adjusted logistic regression analyses revealed notable differences in the frequency of snack food consumption between younger and older adults and between those with low vs. high socioeconomic position (SEP). The location of obtaining snack foods also differed between sociodemographic groups with supermarkets forming an important point-of-purchase for snack foods, especially for those with low SEP and with children in their household.

Recent advances in smartphone technologies have opened the door to the development of accessible, highly portable sensing tools capable of accurate and reliable data collection in a range of environmental settings. In this article, we introduce a low-cost smartphone-based hyperspectral imaging system that can convert a standard smartphone camera into a visible wavelength hyperspectral sensor for ca. £100. To the best of our knowledge, this represents the first smartphone capable of hyperspectral data collection without the need for extensive post processing. The Hyperspectral Smartphone’s abilities are tested in a variety of environmental applications and its capabilities directly compared to the laboratory-based analogue from our previous research, as well as the wider existing literature. The Hyperspectral Smartphone is capable of accurate, laboratory- and field-based hyperspectral data collection, demonstrating the significant promise of both this device and smartphone-based hyperspectral imaging as a whole.

In the growing power demands, turbine users want to feel confident that their equipment is reliable, efficient, and delivering peak performance every day. Proper care and maintenance of turbine oils is critical to avoiding disruptive and potentially costly downtime, and can help extend oil and component life. The ISO 55001 Asset Management and EN 17485 Maintenance within Physical Asset Management: “Framework for improving the value of the physical assets through their whole life cycle” provides an opportunity for companies to review and improve asset owner and service provider relationships, improve performance and utilisation of assets, reduce operational risk arising from the various stages of asset management and reduce the cost of insurance and ensure regulatory compliance. With such an approach and the use of the best available technology, turbine oil is becoming an asset. This article focuses on turbine oils quality, their degradation, additives and, varnish removal.

Additional file of Bovine proteins containing poly-glutamine repeats are often polymorphic and enriched for components of transcriptional regulatory complexes

Authors’ original file for figure 6

Additional file 1: Geo-FERN (Geographic Information System Food Environment ReportiNg) Checklist. Figure S1. Boxplots (with jittered individual values) of distance (km) to health-constraining environmental ‘bads’ and health-promoting environmental ‘goods’ by decile of area-level deprivation. The y-axis has been transformed (pseudo-log) to cover full range of values.

Additional file 9. Study details of feasibility evidence.

Additional file 3:Relative distributions of allele frequencies. The allele frequency distribution for each polymorphic poly-Q encoding gene is presented as a histogram. Each allele was defined by amplicon size. In a few instances differences in amplicon sizes did not seemingly differ by a multiple of three nucleotides, as expected for trinucleotide repeat polymorphisms. This observation may reflect non-trinucleotide repeat indels or could be caused by the calibration process used to measure amplicon size. Where alleles were sequenced they were consistent with the latter explanation. (PPT 292 KB)

Additional file 6. Study details of level 3 validity evidence.

Additional file 4. Study details of level 1 validity evidence.

Additional file 5. Study details of level 2 validity evidence.

Additional file 5:Genomic organisation of two adjacent exons in MED12 that encode poly-Q tracts. UCSC bovine genome browser [22] representations of the 3' and 5' ends of two adjacent exons in bovine MED12. The exons are separated by an ~ 820 bp intron. Transcription is from right to left. Panel (a) is the 5' exon and panel (b) is the 3' exon of the gene. Exon coordinates are listed in each panel. Both exons encode large poly-Q tracts. Also included is protein sequence information for cow, dog, human and mouse as well as informative bovine ESTs. A full description of each track can be found at the UCSC genome browser. (PPT 94 KB)

Additional file 6:Primer sequences used for genotyping(DOC 81 KB)

Authors’ original file for figure 1

Additional file 2. Search strategy and outcomes.

Additional file 2:Large cattle diversity panel. The breed composition of the large cattle diversity panel is shown. Also included is a description of whether the Bos taurus taurus breed was primarily used for beef or dairy production. (DOC 46 KB)

Additional file 7. Study details of level 4 validity evidence.

Additional file 3. Excluded studies with reasons.