Dataset for IDRC Project: Exploring the opportunities and challenges of implementing open research strategies within development institutionsData relating to the IDRC funded project (described in https://doi.org/10.3897/rio.2.e8880) to examine data management policies and implementation for development funders. The project involved two parts: a review based on desk work and expert interviews and seven case studies of existing IDRC-funded projects. The case studies were supported by an Introductory Workshop in which the idea of data was examined and the issues involved in sharing discussed in detail. This was followed by an implementation phase in which the projects were supported in developing Data Management Plans. The performance against those plans was then assessed both by the participants and as part of the overall project to generate case studies that are to be published as part of the related RIO Journal Collection. The final project report will also be part of the same collection.
GTMThis demo is the sampling inference for Graph Topic Model, and more details about this model can be found in the following reference: @ARTICLE{7015568, author={J. Xuan and J. Lu and G. Zhang and X. Luo}, journal={IEEE Transactions on Cybernetics}, title={Topic Model for Graph Mining}, year={2015}, volume={45}, A Markov chain Monte Carlo (MCMC) algorithm is developed and implemented to inference the Graph Topic Model (GTM). GTM is a probabilistic graphical model for the data represented by graph structure, e.g., chemical formulas or documents.
Survey of Victoria Arch, Wombeyan Caves NSWThis data is part of a project by Michael Lake and supported by the Australian Speleological Federation. Data was acquired at Wombeyan Caves by Robert Zlot in January 2014 using the Zebedee 3D Mapping System developed by CSIRO.