RIMPA GLOBAL Changing it up: Data? Is it really that big? Seminar Wed 12th Oct 2022

Data and evidence in the age of algorithms – Dr Leisa Gibbons & Dean Britton, Program Managers, State Records Office WA

Data and AI systems considerations

• Context understanding (users and clients/customers)
• Robustness and accuracy
• Works as intended: planning & design
• Data as a record for evidence

Data clouds considerations

• Privacy
• Resilience – integrated into economy, tied to operational infrastructure
• Integrity: accuracy, governance
• Security

Can data be a record?

• Exemplar ‘data driven’ version – direct user interface to client ‘outsourcing’ data validation to user, but some online verification services might be improving data quality e.g. address verification
•  How do we re-construct the story for evidence?
• Data governance becomes important to verify legal integrity in cases
•  Integrity of transactional logs – are they protected and controlled? Can you piece them together? i.e. will they stack up as evidence
•  Preservation of entity relationships + web services to re-create records – what are the dependencies e.g. Curtin Handbook drawing on multiple databases/systems
•  In place records for structured data in corporate systems?
•  Robert S Seiner’s book Non-invasive data governance: The path of least resistance and greatest success. https://technicspub.com/non-invasive-data-governance/
•  What does deleting/disposition mean for cloud storage? Sanitisation?

AI’s Role in Mineral Exploration Through Legacy Unstructured Data – Alex Jenkins, Director WADSI & Russell Menezes, CEO Radixplore

• WA Data Science Innovation Hub (WA Govt and Curtin collaboration) To shift WA’s economy to a broader base of industries
• Priority areas for WADSI: supply (of talent), advocacy, collaboration, research translation
• DALLE AI as image compression – recall images from text
• Radixplore (AI application for mineral exploration data https://www.radixplore.com) How does this relate to the WA Geological survey and Curtin’s efforts (Open access Digital Mineral Library) https://news.curtin.edu.au/media-releases/researchers-help-expand-mineral-exploration-using-machine-learning/
• AI search for unstructured data in the mining exploration domain, future work on de-commissioning facilities and equipment What are possible applications in other industries?

Humans, machines and data: what the future might look like – Linda Shave UK

• Digital DNA storage – NFSA storing Cathy Freeman’s 2000 Olympics 400m race https://www.nfsa.gov.au/latest/nfsa-dna
• Data archaeology
• Quantum computing
• 6G and Metaverse – more data storage at the ‘edge’ on devices; and how do we cope with fake data?

Tips and Techniques for promotion of good RM/IM practices in your organisation – Tabitha Walker, Senior Records and Information Management Consultant, Information Proficiency

• Choose an ‘AVATAR’ for representing RM in your organisation
• Be Accessible – to end users and management, talk their language, use analogies
• Be Visual – walkarounds – get to know the users, different mindset (setting expectations for interest) capture stats and publish them i.e. co-opt area competitiveness (leaderboards and scores for teams/areas on compliance)
• Adapt to the users – poll your audience, change training style, find what is working, customise systems
• Training can be fun – simplify, self led upskilling, understand bugbears, identify champions, find fun
• Be Amusing – embrace the meme, engage users, make it interesting
• Be Relatable and relevant – carrot vs stick (find fixes, new things), fit to workplace culture, make it relevant to the organisation and to users, show that you are not perfect, aim for inclusion