Just add context levelling up analysis with dimensions on Google BigQuery.pdf.pdf (3.93 MB)Download file
Just add context levelling up analysis with dimensions on Google BigQuery
presentationposted on 2021-02-26, 00:02 authored by Danu PoynerDanu Poyner, Jared WattsJared Watts
ABSTRACT / INTRODUCTION
Levelling up means doing things you haven’t been able to do before. To reach New Zealand’s strategic goals for research impact, we’re going to have to unlock new skills and capabilities – in ourselves, and our organizations. This means empowering a diverse workforce, and finding unique ways to contribute within the research sector. These types of goals require insight and evidence to translate into plans of action – but the contextual information required isn’t always easily accessible. In this talk we will share two case studies, that demonstrate how you can use Dimensions, the world’s largest and most diverse database of research insight, to help you provide the necessary strategic insight across your organisation. The first case study demonstrates how joining Dimensions data with your internal institutional data can support efforts to enable a highly skilled, inclusive and diverse research workforce. The second case study demonstrates how global contextual analysis can level up understanding of your institution’s true research strengths and expertise, so you can identify unique opportunities to contribute to the research environment. By enabling direct access to the underlying data via Google BigQuery, you can now leverage Dimensions’ strengths in contextualising research activity while connecting to and levelling up your existing reporting and analysis infrastructure to meet your organization’s requirements.
Danu has worked in research management roles in Australian and New Zealand universities, focussing on research systems, performance and policy. As a Dimensions Product Specialist based in Auckland, he supports academic institutions throughout the region with data-driven approaches to analysing and improving research performance and impact.
Jared Watts is the Lead Engineer Dimensions Data Platform and BigQuery project. Jared came to Digital Science from the University of Auckland, where he had worked for the past 10 years in library, research information and central information technology roles. Jared has experience managing software development teams, translating end-user requirements into quality software and architecting reliable and dependable solutions. A true polyglot of programming languages, Jared is always ready to learn a new language or technology.