RDIM Terminology Data Storage - Completed Data
Data Storage - Completed Data
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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
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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
- Information Sheets
- Training Videos
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- Contact Us
- Researcher Development Portal
- Roderick Centre for Australian Literature and Creative Writing
- Contextual Science for Tropical Coastal Ecosystems
- State of the Tropics
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- Pay review
The main or "master" copy used in the active stage of your research project will generally be the version of your research data that you archive as completed data. It is important to retain (refer to Data Retention) completed data for a minimum period to enable the validation of your research findings or (in some cases) reproduction of the research.
Although it is generally only necessary to retain records and data sufficient to support validation (or recordkeeping requirements) some data has long-term value and should be retained beyond the minimum period.
Consider the following criteria when making your decision about retaining your research data and information:
- Uniqueness and non-replicability;
- Reliability, integrity, and usability;
- Relevance to a known research initiative or collection;
- Community, cultural or historical value; and
- Economic benefit.
Refer to Retention Rules for Specific Data Types for more information.
Note that long-term or permanent storage of large datasets may require additional funding, so you should consider this when making funding applications, etc.
Storing completed data in Research Data JCU:
Please create a Data Record and organise storage i.e.
- attach files/zip files if your data is less than 100 MB in total and is not sensitive;
- enter URLs for data held in discipline/funder or other trusted repositories e.g. NCBI, public GitHub sites;
- email researchdata@jcu.edu.au to assist with larger, sensitive or hard copy data and documentation (e.g. paper survey responses and signed consent forms)