Supporting the eResearch lifecycle from acquisition through to annotation: the DART/ARCHER experience

This presentation will look at the development of the Dataset Acquisition, Accessibility and Annotation e-Research Technologies (DART) project. This is a proof-of-concept collaboration space, designed to support the entire e-Research lifecycle. The presentation will look at the motivation behind DART, its achievements, and its transition into the ARCHER project. The presentation will also look at the relationship between collaboration environments and institutional publishing environments, based on the Monash experience with the ARROW and DART projects

Research capability to be boosted by improved

The Minister for Education, Science and Training, the Hon Julie Bishop MP, announced today six new initiatives that will support greater collaboration between researchers, both domestically and internationally. The Australian Government has allocated $15 million under the Systemic Infrastructure Initiative for six highly collaborative proposals as part of its ongoing commitment to strengthen innovation and improve research outcomes. The proposals will provide Australian scientists with access to research infrastructure that will enhance Australia’s research capabilities and will: deliver improvements in access to distributed information, data resources, and research facilities; develop and implement innovative models of collecting, analysing and linking research results; and will fill significant gaps in the tools and resources available to researchers

Enabling Lightweight Video Annotation and Presentation for Cultural Heritage

Collaboration-intensive research is increasingly becoming the norm in the humanities and social science arenas. eResearch tools such as online repositories offer researchers the opportunity to access and interact with data online. For the last 20 years video has formed an important part of humanities research, although dealing with multimedia in an online setting has proven difficult with existing tools. File size limitations, lack of interoperability with existing security systems, and the inability to include rich supportive detail regarding files have hampered the use of video. This paper describes a collaborative and data management solution for video and other files using a combination of existing tools (SRB and Plone integrated with Shibboleth) and a custom application for video upload and annotation (Mattotea). Rather than creating new proprietary systems, this development has examined the reuse of existing technologies with the addition of custom extensions to provide fullfeatured access to research data

Updating the Data Curation Continuum

The Data Curation Continuum was developed as a way of thinking about data repository infrastructure. Since its original development over a decade ago, a number of things have changed in the data infrastructure domain. This paper revisits the thinking behind the original data curation continuum and updates it to respond to changes in research objects, storage models, and the repository landscape in general. &nbsp

Sustainability Issues for Australian Research Data: The report of the Australian eResearch Sustainability Survey Project

The Australian e-Research Sustainability Survey (AERES) project was undertaken by the Australian Partnership for Sustainable Repositories (APSR) and the Australian Partnership for Advanced Computing (APAC) to survey the sustainability issues for data-intensive research projects, including the capabilities and demands of research groups and institutions for the storage, access, and long-term management of research data

Marine biodiversity assessments using aquatic internet of things

While Ubiquitous Computing remains vastly applied in urban environments, it is still scarce in oceanic environments. Current equipment used for biodiversity assessments remain at a high cost, being still inaccessible to wider audiences. More accessible IoT (Internet of Things) solutions need to be implemented to tackle these issues and provide alternatives to facilitate data collection in-the-wild. While the ocean remains a very harsh environment to apply such devices, it is still providing the opportunity to further explore the biodiversity, being that current marine taxa is estimated to be 200k, while this number can be actually in millions. The main goal of this thesis is to provide an apparatus and architecture for aerial marine biodiversity assessments, based on low-cost MCUs (Microcontroller unit) and microcomputers. In addition, the apparatus will provide a proof of concept for collecting and classifying the collected media. The thesis will also explore and contribute to the latest IoT and machine learning techniques (e.g. Python, TensorFlow) when applied to ocean settings. The final product of the thesis will enhance the state of the art in technologies applied to marine biology assessments.A computação ubíqua é imensamente utilizada em ambientes urbanos, mas ainda é escassa em ambientes oceânicos. Os equipamentos atuais utilizados para o estudo de biodiversidade são de custo alto, e geralmente inacessíveis para o público geral. Uma solução IoT mais acessível necessita de ser implementada para combater estes problemas e fornecer alternativas para facilitar a recolha de dados na natureza. Embora o oceano seja um ambiente severo para aplicar estes dispositivos, este fornece mais oportunidades para explorar a biodiversidade, sendo que a taxa de marinha atual é estimada ser 200 mil, mas este número pode estar nos milhões. O objetivo principal desta tese é fornecer um aparelho e uma arquitetura para estudos aéreos de biodiversidade marinha, baseado em microcontroladores low-cost e microcomputadores. Adi cionalmente, este aparelho irá fornecer uma prova de conceito para coletar e classificar a mídia coletada. A tese irá também explorar e contribuir para as técnicas mais recentes de machine learn ing (e.g. Python, TensorFlow) quando aplicadas num cenário de oceano. O produto final desta tese vai elevar o estado da arte em tecnologias aplicadas a estudos de biologia marinha