WAGUL Research Forum 2019: “Mind and Mine your Data”

The 2019 WAGUL Research Forum was held Tuesday, 23 July at Edith Cowan University, Joondalup Campus. The theme selected for the day was “Mind and Mine your Data”. The FAIR principles guide researchers and librarians to make data findable, accessible, interoperable and reusable. Keynote speakers at the Forum were asked to concentrate on the interoperability and reusability of datasets.  During the second half of the morning, participants had an opportunity to attend one of the five workshops offered to help develop a skill in data technologies. Ian Welch, Associate University Librarian: Research and Collections at Edith Cowan University, welcomed 70 participants from the WAGUL Libraries, CSIRO and ARDC.

Dr Sean Goltz, an academic with ECU’s School of Business and Law, gave a presentation covering the ethical concerns when using Artificial Intelligence to analyse large datasets. Dr Goltz argued that when AI takes the centre stage of research there is a risk that the research does not adhere to the “fundamentals of scientific research, nor comply with scientific and industry ethical codes”.

Dr Rebecca Lange, is currently working as a computational specialist with the Curtin Institute for Computation. Rebecca has a PhD in astronomy and provided an insight into her career and work as a data scientist.  Astronomy has a well embedded culture of data sharing and good data practices when sharing the data. Rebecca explained that when sharing data, the metadata and accompanying notes play just as an important role as the data itself.

Workshops covered topics:

Workshop#1 ROOM4.236 Mind your Software!
PRESENTER: Matthias Liffers, Australian Research Data Commons Good management of data is critical for reproducible and reusable research, but data has limited use without the software to analyse it. Research software is valuable and should be managed alongside data. A recent survey of UK researchers indicated that 90% use software and 70% could not continue their research without software. How can librarians apply their skills to offer data and software services?

Workshop#2 ROOM 4.235 Cleaning Data with OpenRefine
PRESENTER: Janice Chan, Curtin Library Goodbye Excel, Hello Open Refine (which is Excel on steroids!) In this workshop, you will learn how OpenRefine can help you to clean and standardise your data, and automatically track any changes that you make. This workshop is based on the Library Carpentry Open Refine lesson. Please Note: To participate in this workshop you will be required to bring your own laptop with Open Refine software installed. Setup instructions and sample data is available here: https:/ /librarycarpentry.org/lc-open-refine/ setup.html

Workshop#3 ROOM 19.119 Meta-analysis: combining published datasets to create new and more compelling information
PRESENTER: Dr Oscar Serrano, ECU, Post-Doctoral Research Fellow within the Centre for Marine Ecosystems Research in the School of Science Data acquisition typically occurs at local spatial scales and short temporal scales. By combining existing (published) datasets it is possible to synthetise existing information to create new and more compelling knowledge. During the workshop, you will compile published datasets in Excel, and explore them (e.g. meta-analysis) to answer new and broader questions.

Workshop#4 ROOM 19.120 Mind your data using Excel
PRESENTER: Rochelle Palmer, ECU Library This workshop is a hands-on introduction to wrangling your data in Microsoft Excel, using readily available tools such as sort and conditional formatting. We all know tidy data is the key to any type of data analysis or use – learn best practice in setting up your data from the beginning of your project and develop a toolbox of tricks for cleaning any messy data.

Workshop#5 ROOM31.234 Machine learning for image analysis using Cloud AutoML
PRESENTERS: Ron Jones, UWA Office of Research Enterprise & Katie Mills, UWA Library This hands-on workshop explores machine learning for image analysis using the latest online tools from Google. During the workshop, you will follow the steps to train the machine-learning model to identify two buildings on the UWA Crawley campus.

A full Post Forum Report will be made available soon.

Recordings and slides from the presentations are available under the Events tab on this website.