The following is a small selection of the tools and resources that are available to you at JCU or are freely available on the web. If they don't suit, try Googling for others that will work for your project.
LinkedIn LearningThis link opens in a new windowSign in with your JCU email address and you will be directed to the JCU Single Sign On (do not select the Library Card option). Select from thousands of beginner-to-advanced courses across core functional areas – including sales, marketing, finance, operations, IT, software and web development, customer service and more.
Data Science and EngineeringThis journal responds to the remarkable change in the focus of information technology development from CPU-intensive computation to data-intensive computation, where the effective application of data, especially big data, becomes vital.
Frontiers in Digital HumanitiesThis open access journal publishes rigorously peer-reviewed research from Digital History to Big Data, providing a community platform for the Humanities in the digital age
IEEE Transactions on Knowledge and Data EngineeringSpecific areas to be covered are as follows: Fields and Areas of Knowledge and Data Engineering including: Knowledge and data engineering tools and techniques; Data management methodologies & Data communications and more.
Journal of Data Mining and Digital HumanitiesThis is an open access, peer reviewed journal that is concerned with the intersection of computing and the disciplines of the humanities, with tools provided by computing such as data visualisation, information retrieval, statistics, text mining by publishing scholarly work beyond the traditional humanities.
Choose your digital research tools
DiRT: Digital Research ToolsThe DiRT Directory is a registry of digital research tools for scholarly use. DiRT makes it easy for digital humanists and others conducting digital research to find and compare resources ranging from content management systems to music OCR, statistical analysis packages to mindmapping software.
GLAM WorkbenchHere you’ll find a collection of tools, tutorials, examples, and hacks to help you work with data from galleries, libraries, archives, and museums (the GLAM sector). The primary focus is Australia and New Zealand, but new collections are being added all the time.
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