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Keywords: Data Management 

Principles Aligned Institutionally-Contextualised (PAI-C) RDM Training

This GitHub repository contains resources for an institution to contextualise a principles-based RDM training with its institution's research data management policies, processes and systems.

The adoption of PAI-C across institutions will contribute to a common baseline understanding of RDM...

Keywords: PAI-C, Training, Data Management

Principles Aligned Institutionally-Contextualised (PAI-C) RDM Training https://dresa.org.au/materials/principles-aligned-institutionally-contextualised-pai-c-rdm-training This GitHub repository contains resources for an institution to contextualise a principles-based RDM training with its institution's research data management policies, processes and systems. The adoption of PAI-C across institutions will contribute to a common baseline understanding of RDM across institutions, which in turn will facilitate cross institutional management of data (e.g. when researchers move between institutions, and collaborate across institutions). Dr Adrian W. Chew (w.l.chew@unsw.edu.au) Dr Anesh Nair Dr Kyle Hemming Iftikhar Hayat Joanna Dziedzic Janice Chan Kaitlyn Houston Linlin Zhao Caitlin Savage Jessica Suna Dr Emilia Decker Sharron Stapleton PAI-C, Training, Data Management
Research Data Management Techniques

Are you drowning in research data? Do you want to know where you should be storing your data? Are you required to comply with funding body data management requirements, but don't know how?

This workshop is ideal for researchers who want to know how research data management can support project...

Keywords: Data Management, Data Management

Research Data Management Techniques https://dresa.org.au/materials/research-data-management-techniques Are you drowning in research data? Do you want to know where you should be storing your data? Are you required to comply with funding body data management requirements, but don't know how? This workshop is ideal for researchers who want to know how research data management can support project success and are interested in research data management services and support available at their institution. Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data. #### You'll learn: - How to manage research data according to legal, statutory, ethical, funding body and university requirements - Approaches to planning, collecting, organising, managing, storing, backing up, preserving, and sharing your data - Services supporting research data at your institution #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/rdmt001).** training@intersect.org.au Data Management, Data Management
Collecting Web Data

Web scraping is a technique for extracting information from websites. This can be done manually but it is usually faster, more efficient and less error-prone if it can be automated.

Web scraping allows you to convert non-tabular or poorly structured data into a usable, structured format, such as...

Keywords: Data Management, Python

Collecting Web Data https://dresa.org.au/materials/collecting-web-data Web scraping is a technique for extracting information from websites. This can be done manually but it is usually faster, more efficient and less error-prone if it can be automated. Web scraping allows you to convert non-tabular or poorly structured data into a usable, structured format, such as a .csv file or spreadsheet. But scraping is about more than just acquiring data: it can help you track changes to data online, and help you archive data. In short, it's a skill worth learning. So join us for this web scraping workshop to learn web scraping, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - The concept of structured data - The use of XPath queries on HTML document - How to scrape data using browser extensions - How to scrape using Python and Scrapy - How to automate the scraping of multiple web pages #### Prerequisites: A good knowledge of the basic concepts and techniques in Python. Consider taking our [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) courses to come up to speed beforehand. **For more information, please click [here](https://intersect.org.au/training/course/webdata201).** training@intersect.org.au Data Management, Python
Data Capture and Surveys with REDCap

Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you.

This course will introduce you to REDCap, a rapidly evolving web tool developed by...

Keywords: Data Management, REDCap

Data Capture and Surveys with REDCap https://dresa.org.au/materials/data-capture-and-surveys-with-redcap Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Learn how to use branching logic, piping, and calculations - Enter data via forms and distribute surveys - Create, view and export data reports - Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** training@intersect.org.au Data Management, REDCap
Longitudinal Trials with REDCap

REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with...

Keywords: Data Management, REDCap

Longitudinal Trials with REDCap https://dresa.org.au/materials/longitudinal-trials-with-redcap REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap's more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 - Managing Data Capture and Surveys with REDCap. #### You'll learn: - Build a longitudinal project - Manage participants throughout multiple events - Configure and use Automated Survey Invitations - Use Smart Variables to add powerful features to your logic - Take advantage of high-granularity permissions for your collaborators - Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our [Data Capture and Surveys with REDCap](https://intersect.org.au/training/course/redcap101/) workshop. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** training@intersect.org.au Data Management, REDCap
Databases and SQL

A relational database is an extremely efficient, fast and widespread means of storing structured data, and Structured Query Language (SQL) is the standard means for reading from and writing to databases. Databases use multiple tables, linked by well-defined relationships, to store large amounts...

Keywords: Data Management, SQL

Databases and SQL https://dresa.org.au/materials/databases-and-sql A relational database is an extremely efficient, fast and widespread means of storing structured data, and Structured Query Language (SQL) is the standard means for reading from and writing to databases. Databases use multiple tables, linked by well-defined relationships, to store large amounts of data without needless repetition while maintaining the integrity of your data. Moving from spreadsheets and text documents to a structured relational database can be a steep learning curve, but one that will reward you many times over in speed, efficiency and power. Developed using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Understand and compose a query using SQL - Use the SQL syntax to select, sort and filter data - Calculate new values from existing data - Aggregate data into sums, averages, and other operations - Combine data from multiple tables - Design and build your own relational databases #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/sql101).** training@intersect.org.au Data Management, SQL
Version Control with Git

Have you mistakenly overwritten programs or data and want to learn techniques to avoid repeating the loss? Version control systems are one of the most powerful tools available for avoiding data loss and enabling reproducible research. While the learning curve can be steep, our trainers are there...

Keywords: Data Management, Git

Version Control with Git https://dresa.org.au/materials/version-control-with-git Have you mistakenly overwritten programs or data and want to learn techniques to avoid repeating the loss? Version control systems are one of the most powerful tools available for avoiding data loss and enabling reproducible research. While the learning curve can be steep, our trainers are there to answer all your questions while you gain hands on experience in using Git, one of the most popular version control systems available. Join us for this workshop where we cover the fundamentals of version control using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - keep versions of data, scripts, and other files - examine commit logs to find which files were changed when - restore earlier versions of files - compare changes between versions of a file - push your versioned files to a remote location, for backup and to facilitate collaboration #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/git101).** training@intersect.org.au Data Management, Git
Getting Started with NVivo for Mac

Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers.

NVivo allows researchers to simply...

Keywords: Data Management, NVivo

Getting Started with NVivo for Mac https://dresa.org.au/materials/getting-started-with-nvivo-for-mac Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: In order to participate, attendees must have a licensed copy of NVivo installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. This course is taught using NVivo 12 Pro for Mac and is not suitable for NVivo for Windows users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo102).** training@intersect.org.au Data Management, NVivo
Surveying with Qualtrics

Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics?

Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow...

Keywords: Data Management, Qualtrics

Surveying with Qualtrics https://dresa.org.au/materials/surveying-with-qualtrics Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: - Format a sample survey using the Qualtrics online platform - Configure the survey using a range of design features to improve user experience - Decide which distribution channel is right for your needs - Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. **For more information, please click [here](https://intersect.org.au/training/course/qltrics101).** training@intersect.org.au Data Management, Qualtrics
Survey Tools in Research: REDCap and Qualtrics

Now more than ever researchers are needing to embrace electronic data capture methods to keep their research moving in the midst of social distancing restrictions and decreased access to survey participants. Using a research specific survey tool can not only solve this problem, but also set your...

Keywords: Data Management, REDCap, Qualtrics

Survey Tools in Research: REDCap and Qualtrics https://dresa.org.au/materials/survey-tools-in-research-redcap-and-qualtrics Now more than ever researchers are needing to embrace electronic data capture methods to keep their research moving in the midst of social distancing restrictions and decreased access to survey participants. Using a research specific survey tool can not only solve this problem, but also set your research up for success through intuitive data collection and validation, scheduling and reporting. This webinar will introduce and compare two of the most popular research tools for the collection of survey data and patient records: REDCap and Qualtrics. #### You'll learn: - Electronic Data Capture: Surveys vs Forms - Confidential vs Anonymous data collection - Strengths and weaknesses of Qualtrics and REDCap - Real-life use cases for each tool - Using survey tools for longitudinal studies #### Prerequisites: The webinar has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/surveys001).** training@intersect.org.au Data Management, REDCap, Qualtrics