RDIM Introduction
Introduction
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-
RDIM
- Introduction
- RDIM Overview
- My Responsibilities
- Research Data JCU Platform
- Step 1 - Plan
- Step 2 - Manage
- Step 3 - Archive
- Step 4 - Publish
- Step 5 - Reuse
- Step 6 - Review
- Step 7 - Dispose
-
Terminology
- Access Conditions (Open, Conditional, Restricted)
- Active Data
- Active Storage and Collaboration Options
- Citations
- Collaborator
- Completed Data
- Conditional Access
- Confidentiality
- Consent
- Contracts
- Copyright
- Creative Commons Licence
- Creative Commons Zero (CC0)
- Custodian
- Custodianship
- Data
- Data Creator
- Data Custodian
- Data Manager
- Digital Object Identifier (DOI)
- Data Package
- Data Papers
- Data Publication
- Data Record
- Data Repositories
- Data Retention
- Data Storage - Active Data or Working Data
- Data Storage - Completed Data
- Data Visualisation
- Data Wrangling (Cleaning)
- De-identifying Data
- Digital Object Identifier (DOI)
- DIKW Model
- DOI Minting Services
- Embargo
- Ethics and Ethical Clearance
- FAIR Data Principles
- File Formats
- File Names
- Folder Structures
- HDR Candidate
- Information
- Intellectual Property
- JCU Researcher
- Lead Investigator
- Licensing Data
- Metadata
- Moral Rights
- Open Access
- Primary Advisor
- Primary Materials
- Privacy and Personal Information
- Repositories
- Research Data
- Research (Data and Information) Asset
- Research (Data and Information) Asset Lifecycle
- Research Data JCU Platform
- Research Data Management Plan (RDMP)
- Research Information
- Research Project
- Restricted Access
- Retention
- Retention Rules for Specific Data Types
- Sensitive Data
- Storage
- Supporting Documents
- Triangulation, Data Linkage and Integrating Authorities
- Version Control
- Working Data
- Wrangling (Cleaning) Data
- Frequently Asked Questions
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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 and Information 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 will introduce you to JCU's data repository, Research Data JCU.
Acknowledgment
It is acknowledged that much of the content of this website has been drawn from the wonderful work of the JCU Library Team.
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 storing and sharing, so developing your skills in Research Data Management is essential. Find out more on the seven benefits of data storing and sharing.
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
- Plan - create RDMP.
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.
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.