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5 material found

Target audience: professional 


Advanced Data Wrangling with OpenRefine

This online self-paced workshop teaches advanced data wrangling skills including combining datasets, geolocating data, and “what if” exploration using OpenRefine.

Keywords: data skills, data

Resource type: tutorial

Advanced Data Wrangling with OpenRefine https://dresa.org.au/materials/advanced-data-wrangling-with-openrefine This online self-paced workshop teaches advanced data wrangling skills including combining datasets, geolocating data, and “what if” exploration using OpenRefine. s.stapleton@griffith.edu.au data skills, data mbr phd ecr researcher support professional
Introduction to Data Cleaning with OpenRefine

Learn basic data cleaning techniques in this self-paced online workshop using open data from data.qld.gov.au and open source tool OpenRefine openrefine.org. Learn techniques to prepare messy tabular data for comupational analysis. Of most relevance to HASS disciplines, working with textual data...

Keywords: data skills, Data analysis

Resource type: tutorial

Introduction to Data Cleaning with OpenRefine https://dresa.org.au/materials/introduction-to-data-cleaning-with-openrefine Learn basic data cleaning techniques in this self-paced online workshop using open data from data.qld.gov.au and open source tool OpenRefine openrefine.org. Learn techniques to prepare messy tabular data for comupational analysis. Of most relevance to HASS disciplines, working with textual data in a structured or semi-structured format. s.stapleton@griffith.edu.au; Sharron Stapleton data skills, Data analysis mbr phd ecr researcher support professional
Introduction to Unix

A hands-on workshop covering the basics of the Unix command line interface.

Knowledge of the Unix operating system is fundamental to the use of many popular bioinformatics command-line tools. Whether you choose to run your analyses locally or on a high-performance computing system, knowing...

Keywords: Unix, Command line, Command-line, CLI

Resource type: tutorial

Introduction to Unix https://dresa.org.au/materials/introduction-to-unix A hands-on workshop covering the basics of the Unix command line interface. Knowledge of the Unix operating system is fundamental to the use of many popular bioinformatics command-line tools. Whether you choose to run your analyses locally or on a high-performance computing system, knowing your way around a command-line interface is highly valuable. This workshop will introduce you to Unix concepts by way of a series of hands-on exercises. This workshop is designed for participants with little or no command-line knowledge. Tools: Standard Unix commands, FileZilla Topic overview: Section 1: Getting started Section 2: Exploring your current directory Section 3: Making and changing directories Section 4: Viewing and manipulating files Section 5: Removing files and directories Section 6: Searching files Section 7: Putting it all together Section 8: Transferring files Tutorial instructions available here: https://www.melbournebioinformatics.org.au/tutorials/tutorials/unix/unix/ For queries relating to this workshop, contact Melbourne Bioinformatics (bioinformatics-training@unimelb.edu.au). Find out when we are next running this training as an in-person workshop, by visiting the Melbourne Bioinformaitcs Eventbrite page: https://www.eventbrite.com.au/o/melbourne-bioinformatics-13058846490 For queries relating to this workshop, contact Melbourne Bioinformatics (bioinformatics-training@unimelb.edu.au). Unix, Command line, Command-line, CLI ugrad masters mbr phd ecr researcher support professional
Learn R or Python, generate Species Distribution Models (SDM) or SDM Climate Projections

EcoCommons has a variety of videos, R scripts, and support articles that introduce users to learning how to code in R or Python, how to generate Species Distribution Models (SDMs) or generate SDM climate projections.

We also have a growing number of use cases where users can see and work...

Keywords: Species Distribution Modelling, Beginner R coding, Beginer ecological modelling, Climate projections

Learn R or Python, generate Species Distribution Models (SDM) or SDM Climate Projections https://dresa.org.au/materials/learn-r-or-python-generate-species-distribution-models-sdm-or-sdm-climate-projections EcoCommons has a variety of videos, R scripts, and support articles that introduce users to learning how to code in R or Python, how to generate Species Distribution Models (SDMs) or generate SDM climate projections. We also have a growing number of use cases where users can see and work through examples that highlight the power of bringing data together. support@ecocommons.org.au EcoCommons Species Distribution Modelling, Beginner R coding, Beginer ecological modelling, Climate projections ugrad mbr phd ecr professional
ARDC Research Data Rights Management Guide

A practical guide for people and organisations working with data, about rights information and licences, and to raise awareness of the implications of not having licences on data.

Who is this for? This guide is primarily directed toward members of the research sector, particularly data rights...

Keywords: research data

Resource type: guide

ARDC Research Data Rights Management Guide https://dresa.org.au/materials/ardc-research-data-rights-management-guide A practical guide for people and organisations working with data, about rights information and licences, and to raise awareness of the implications of not having licences on data. Who is this for? This guide is primarily directed toward members of the research sector, particularly data rights holders users and suppliers. Some general reference is made to characteristics and management of government data, acknowledging that this kind of data can be input to the research process. Government readers should consult their agency’s data management policies, in addition to reading this guide. **Cite as** Australian Research Data Commons. (2019). ARDC Research Data Rights Management Guide. Zenodo. https://doi.org/10.5281/zenodo.5091580 ARDC Contact us: contact@ardc.edu.au research data mbr phd ecr researcher support professional