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La Trobe University

Resource for Data Management Policy/Procedure:

https://policies.latrobe.edu.au/document/view.php?id=106 (HVC02)

Research Data Management Policy

Data Management - Data Ready Libguide

Projects

Surface Science Collection The Surface Science data collections are an outcome of interdisciplinary research conducted at the Centre for Materials and Surface Science (CMSS) at La Trobe University. Physics, chemistry and materials science converge at CMSS, which offers world-class capabilities in nanocharacterisation focused on the surface science, analysis, imaging and ...
The successful creation of the La Trobe University Metadata store has provided the institution with a single focal point for all of its research outputs. The ANDS Metadata stores project has expanded the capability of the repository to manage a whole range of researchers’ needs at La Trobe University. Whilst ...
The project established a Healthy Communities Research Data Collection. This collection consists of de-identified health data collected from health service providers in Bendigo with which La Trobe University has been collaborating. These data have been brought together into a major open access data collection consisting of general patient data from ...
As part of the High Value Collections program, the CMSS is developing well described reference collections derived from X-ray photoelectron spectroscopy (XPS) and time-of-the-flight secondary ion mass spectrometry (ToF-SIMS) data that may comprise spectra, maps and depth profiles, stored in proprietary formats. To provide more value and trust in these ...
This project will build the platform for a potential national database of historical archaeological collections, excavated sites and the people connected to those objects and places. Each year archaeologists (both academic and private consultants) excavate tens of thousands of artefacts from historical archaeological sites across Australia. While some states (e.g. ...
The major outcome from the researchers' point of view is that the system provides a facility to store their datasets, describe them, and easily share them online, with persistent identifiers so that they can be cited conveniently. Prior to the project, datasets acquired on CMSS instruments were stored locally, and ...