Love Data Week

Love Data Week 2022

Love data week

From 14-18 February, QUT Library will be celebrating the role research data plays in improving the lives of people around the world by adopting the international theme of ‘Data is for everyone’.  The purpose of Love Data Week is to raise awareness and build a community to engage on topics related to research data management, analysis, sharing, preservation and re-use and library-based research data services.

There are a bunch of international events and activities that are free for anyone to attend online, available from here, and you can follow along on Twitter using #LoveData22.

QUT Library is facilitating a number of data workshops in celebration of Love Data Week and we hope you can attend.

Research Data Management: Planning – Tuesday, 15 February. 10:00 am – 10:45am.  Register here

An interactive session for research students and staff to introduce Research Data Management and to help you plan for managing research files, information, and data.

What you’ll learn:

 

Research Data Management: Storage, Analysis & Visualisation – Wednesday, 16 February. 10:00 am – 10:45am. Register here

An interactive session for research students and staff to help you identify and select the most suitable digital research data storage, analysis and visualisation and sharing resources.

What you’ll learn:

  • Recommended storage options for research data, including sensitive research data
  • How to request access to QUT’s Research Data Storage Service
  • Managing research data with different purposes and at different stages
  • Using file naming conventions and folder directory structures

 

Research Data Management: Preservation & Publication – Thursday, 17 February. 10:00 am – 10:45am. Register here

An interactive session for research students and staff to help you increase the impact of your research by publishing and sharing your research data in repositories and preserving your research data files using QUT-supported archival data storage.

What you’ll learn:

  • Publishing, licensing, copyright and DOIs for data
  • QUT Research Data Finder
  • How to create a research data record in Research Data Finder
  • Understanding preservation responsibilities, storage options, and formats.

 

Secondary datasets for research: Financial data – Tuesday, 15 February. 2:00 – 3:00pm. Register here

This workshop introduces you to secondary datasets, their benefits, and how to find and use them.

Also known as existing or third-party datasets, secondary datasets are those that a researcher has not collected or created themselves. This type of data can encompass an enormous range of highly original and extensive studies, including rare, unusual and large datasets. While the majority of datasets are free to access, some are available through a request or application process, and others may require payment.

This workshop features talks by Philippa Frame, Research Data Librarian, Janet Baker, Liaison Librarian (School of Accountancy) and Mathew Fletcher, Liaison Librarian (School of Economics and Finance) and will focus on financial data.

 

Code and data sharing platforms for engineers – Wednesday, 16 February. 2:00 – 3:00pm. Register here

Join us for a Love Data Week 2022 special presentation on two data products relevant to engineers, computer scientists and all who have an interest in accessing this type of data:

Code Ocean is a code and data sharing platform that includes ready-to-use data integration tools such as RStudio, Jupyter, Shiny, Terminal and Git.  With access to a role-based, secure repository, researchers can organise, publish and secure project-bases Compute Capsules, data assets and research results.  Code Ocean is based on Amazon S3 secure storage with server-side encryption and scheduled backups.

IEEE DataPort is a data storage and discovery platform for engineering, computer science and scientific datasets.  Researchers can store up to 2TB of data in DataPort and make their data easily accessible to other researchers, engineers and industry.  Open access datasets are available for all users to discover.

  • Guilherme Fróes Silva will present his experiences using Code Ocean.

Guilherme is a third year PhD student at QUT, working with string stable decentralised control of networked systems. His current research interest is nonlinear control of multi-agent systems. He holds a Master of Philosophy Degree in Electrical Engineering, which focused in image processing, awarded by PUCRS (Brazil).

Graham is a Liaison Librarian with specific responsibilities for the library and information needs of:

  • School of Architecture and Built Environment
  • School of Electrical Engineering and Robotics
  • Centre for Robotics.

 

Australian Bureau of Statistics for researchers: Accessing Microdata and using DataLab – Wednesday, 16 February. 11:30am – 1:00pm. Register here

This session is a presentation on using key Australian Bureau of Statistics (ABS) data assets for researchers followed by a general Q&A.

11:30am-12:30pm 

  • MADIP (Multi-Agency Data Integration Project) – a data asset combining information on health, income, taxation, employment, and population demographics (including the Census), and
  • BLADE (Business Longitudinal Analysis Data Environment) – ATO data from Australian businesses.

12:30-1:00pm

Join a Q&A session on the presentation topics as well as: additional data assets managed by the ABS, and on access to Microdata using tools such as TableBuilder, MicrodataDownload and DataLab.

Talei Parker is the Assistant Director, Data Services (Data Strategy, Integration and Services Division) and University Partnership Manager, Australian Bureau of Statistics.

The Australian Bureau of Statistics is Australia’s national statistical agency and a source of information and data for researchers.

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