Trusted Data Community – Reaching for Trust

Dr Richard Ferrers1, Ms Margie Smith2, Dr Natalia Atkins5, Dr Siddeswara Guru4, Ms Katina Toufexis3

1Australian Research Data Commons, Melbourne, Australia
2Geoscience Australia, Canberra, Australia
3University of Western Australia, Perth, Australia
4TERN, University of Queensland, Brisbane, Australia
5IMOS, Hobart, Australia

Introduction.

The Trusted Data Community is a collaborative activity of 21 organisations seeking to gain an international certification (called Core Trust Seal, CTS) about the trustworthiness of their respective data repositories. Since 2019, the community has been meeting regularly to discuss and share progress and gathered for workshops and writing sessions.

Method.

This BOF will bring together lead community members and conference guests to :

(1) strengthen the community relationships through online interaction;

(2) discuss different approaches and methods to assess requirements for CoreTrustSeal;

(3) share current work, successes and challenges facing us individually and communally,  and

(4) allow the community to work together on challenging issues.

Results/Conclusion.

This BoF will provide an opportunity to bring the community together to share learnings with other organisations who are interested in CTS and for them to hear about and meet the community which will widen the potential benefits and interest in the existing community. As such, the BoF will feature a small number of guest speakers representing the broad perspective of community activity to date who will briefly (3-5 min) share with delegates what progress they have made to date with learning, costing and undertaking  Trusted data certification. In the second phase, community members will convene around, and report back on, one or two particularly challenging topics, allowing for in-depth discussion, sharing strategies and opportunities for progress.


Biography:

Richard is a Research Data Specialist at ARDC, based in Melbourne, where he works in the ARDC Engagements Team with Victorian and Tasmanian institutions.

https://orcid.org/0000-0002-2923-9889

Getting from knowing to doing: The importance of data storage and preservation practices in research translation

Dr Michelle Krahe1, Malcolm Wolski2, Julie Toohey3, Professor Paul Scuffham4,5, Professor Sheena Reilly1,5

1Health Group, Griffith University, Gold Coast, Australia
2eResearch Services, Griffith University, Nathan, Australia
3Library and Learning Services, Griffith University, Gold Coast, Australia
4Centre for Applied Health Economics, Griffith University, Nathan, Australia
5Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia

Introduction

Research is driven by and a generator of large and diverse amounts of data. Despite this, a substantial gap between the evidence generated and that which is translated into practice or policy still exists. We propose that since the ability to translate knowledge is dependent upon access to and integrity of quality data and information, the importance where data is recorded (stored) and how it is secured and preserved during the research process is important.

Methods

As part of a larger evaluation of the research data management (RDM) practices of health and biomedical researchers, here we explore data storage and preservation practices from one Australian academic institution. Participants were researchers actively involved in the production of digital data and were invited to complete an online survey about RDM.

Results

The results indicate that practices are variable and not harmonious with best-practice. The majority of research data is stored on personal devices during data creation (49%), analysis (55%) and preservation (50%) and predominantly on personal computers (73%, 69% and 43%), a USB stick (36%, 36% and 21%), or external hard drive (33%, 31% and 38%). This trend was similar for both identifiable and non-identifiable data.

Conclusion

The findings highlight that researchers are primarily using storage devices and employing preservation techniques that are limiting the ability to translate knowledge into action. If data cannot be meaningfully and contextually interpreted, then its potential may not be realised and opportunities for the translation of knowledge and open science will be lost.


Biography:

Bio to come

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