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Queen’s researchers to discuss ways they give VOICE to their research

The fifth annual Queen's University Data Day features presentations and panels on national initiatives and local services for managing, linking, and promoting research data.

Queen's researchers will explore the importance of providing a VOICE – Value, Openness, Inclusivity, Collaborative Platforms, Engaged Researchers – to their work during Data Day.

The fifth annual event at Queen’s will be held on Wednesday, May 2, from 8:30 am to 1:30 pm in the Douglas Library 1966 Reading Room. The conference-style program features presentations and panels on national initiatives and local services for managing, linking and promoting research data.

The Queen’s Researcher Experience Panel highlights research projects from a variety of disciplines that generate research data. This panel is an opportunity for researchers to share some of the successes and challenges associated with managing research data.

Giving research a VOICE
Value The university’s evaluation of research impact includes a wide range of measures, including not only bibliometric analytics but also assessments appropriately based in qualitative analysis.
Openness The results of research and scholarship should be disseminated as widely as possible for the advancement of research and the benefit of society.
Inclusivity All disciplines, areas of study and human differences are supported, and it is recognized that they have unique and particular needs.
Collaborative Platforms The university supports the development and use of distributed, reputable platforms for research dissemination and preservation that reduce cost barriers and are guided by the FAIR data principles – that data must be Findable, Accessible, Interoperable and Reusable.
Engaged Researchers The university supports researchers in their engagement in the research enterprise, including regaining control of the scholarly communication ecosystem (e.g. by intentionally licensing their publications and other research results so that they retain their ownership while sharing them openly).

During this panel, Danielle Beaulne (Geological Sciences and Geological Engineering) of the Geophysics & Geodesy Lab, will take a closer look at the scalability of spatiotemporal data in geological sciences and engineering, specifically promoting the accessibility of geoscientific data and advancing the integration of big data into the geological sciences. Analyzing  data from hand samples, gravity, magnetometry, seismic, SAR, optical, LiDAR, laser imaging and genetic data collected from the lab, field surveys, UAV’s, airplanes and satellites requires an equivalently diverse set of software and services including the geophysics high performance computing lab and the cluster hosted by Queen’s Center for Advanced Computing.

Andrew Coombs, a doctoral student in the Faculty of Education and a member of the Assessment & Evaluation Group, will speak to his doctoral research that examines how and why classroom teachers’ assessment practices vary. These assessment practices, such as tests, observations, presentations, and exams, are important as they generate classroom-level data that teachers use to make decisions about what to teach and next steps for their students’ learning. As Andrew’s research spans the globe, he will share some of his recent experiences that have highlighted both the promise and peril of global data collection.

As the director at the Strathy Language Unit, Anastasia Riehl pursues and supports projects that explore change and variation in Canadian English using text corpora. She will introduce two different types of corpus projects based at the Strathy Language Unit: the Strathy Corpus of Canadian English and the Wolfe Island English Corpus.

Stephen W. Thomas (Smith School of Business) will share insights on Advanced Analytics at SCENE, a loyalty program for movie/entertainment lovers that collects a massive volume of member data. Using member demographics and member transactions data, his research aims to increase member engagement and recruit new members by uncovering patterns of behaviour in the data, and making predictions about future member behaviour while making use of the Centre for Advanced Computing (CAC) for data hosting and computational power for this research.

Data Day provides a forum for researchers to connect and discuss their data strategies in their research, and learn more about what supports and services Queen’s has to offer.

“Data Day allows us to highlight the ways the library, University Research Services (URS), and Information Technology Services (ITS) have partnered to raise awareness and advance the services Queen’s offers to researchers to manage their data and make it accessible and reusable by the wider research community for years to come,” says Heather McMullen, Associate University Librarian, Queen's University Library.

Full program details and registration are available on the library website. A light lunch will be provided.

Data Day is hosted by: Queen's University Library, Office of Vice-Principal (Research), Centre for Advanced Computing, Information Technology Services (ITS).

Queen’s University Research Development Day (hosted by URS) will be held the day after Data Day in the same location. For more information, see the URS website.