RDIM Introduction

Introduction

The economic and social value of Australia’s research data is becoming increasingly apparent. In fact, it is estimated that research data in Australia is worth up to $6 billion a year (Report to the Australian National Data Service (ANDS) November 2014), much of which is untapped. At the heart of unleashing this value is making data openly available to be shared and reused wherever possible.

For the researcher, publishing findings and sharing research data and methodologies is integral to gaining credibility and advancing in their careers, and for some, becoming recognised as experts in their field.

Research Data Services provides the JCU community with the expertise, tools and infrastructure necessary to manage and steward its research data and information.

This website is one of those tools and aims to provide the researcher with the knowledge and skills to manage the data and information from their research project(s) according to best practice principles. It will guide you through some of the important elements of research data management and introduce you to JCU's data management platform, Research Data JCU.

Contact Us

Contact one of the team if you need assistance.

Research Data and Information Management

Watch Module 1: Overview – Management of Data and Information in Research of the Management of Data and Information in Research series of training videos to learn more about completing your RDMP.

This module is part of the RD7003 Compulsory Workshops for HDR Candidates and can also be accessed via the Higher Degree by Research Students Organisation on LearnJCU.  Completion of a short quiz on LearnJCU is required.

Good data management and sharing your data can help maximise the efficiency and integrity of your research, and increase your visibility and impact as a researcher.

More and more funders, publishers and institutions are mandating data management and sharing, so developing your skills in Research Data Management is essential. Find out more on the seven benefits of data management and sharing.

Benefits of storing and sharing data are: visibility and citations, engagement & impact, collaboration & innovation, research efficiency, research integrity, compliance and security.

The Research (Data and Information) Asset Lifecycle has three defined phases - Pre Project, During Project and Post Project - and within these phases seven steps can be clearly articulated.

Pre-Project

During Project

  • Manage - generate, organise, analyse and finalise data.
  • Archive - Create data record.
  • Publish - Create data publication.

Post-Project Phase

  • Reuse - Action data request.
  • Review - Review custodian roles, embargo period, storage infrastructure, retention schedule and relevance.
  • Dispose - of research asset.

This website has been designed around these seven steps to help the researcher, and others, to navigate the myriad rules, regulations and requirements for managing research data and information in a logical and coherent way. You may also find the Site Map a useful tool to navigate these pages.

Pre-Project Phase: Step 1: Plan.

During Project Phase: Step 2: Manage, Step 3: Archive and Step 4: Publish.

Post-Project Phase: Step 5: Reuse, Step 6: Review and Step 7: Dispose.

The Australian Code for the Responsible Conduct of Research outlines the broad principles and responsibilities that characterise good governance and build an honest, ethical and conscientious research culture. The Australian Code is supported by a suite of eight (8) guides to assist institutions and researchers adhere to the Code.

Visit the Governance and Compliance page to find out more on JCU's Code for responsible Conduct of Research Policy, the Custodianship Model for Research Data and Information and the Research Data Management Working Group.