RDIM Terminology Copyright
Copyright
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RDIM
- Introduction
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- Research Data JCU Platform
- Step 1 - Plan
- Step 2 - Manage
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Terminology
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- Custodian
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- Data
- Data Creator
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- Data Manager
- Digital Object Identifier (DOI)
- Data Package
- Data Papers
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- 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
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- File Formats
- File Names
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- 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
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- Supporting Documents
- Triangulation, Data Linkage and Integrating Authorities
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In most jurisdictions, including Australia, copyright protection applies to the expression of ideas rather than the ideas or facts themselves. Datasets will be protected by copyright if they meet certain threshold criteria of human authorship, originality, or creativity. Compiling and presenting raw data (e.g. adding labels, units, performing calculations etc.) is often sufficient to attract copyright protection.
Copyright in research data produced at JCU is governed by JCU's Intellectual Property Policy and Procedure.
Here's an example: If a data logging machine placed in a creek generates 'raw data' about (for example) water quality, that data may not attract copyright protection, despite the fact that researchers may have used considerable skill, effort and expertise in siting the machine. Since the 'raw' data itself would have no human authorship and originality, it would not satisfy the legal basis of copyright. However, if a researcher were to examine the data from the data logging machine, notes certain errors and makes corrections to the data, or reforms the selection and arrangement of the dataset; that (sometimes relatively minor) act of human authorship, originality, and application of skill and judgment may be sufficient for the resulting dataset to attract copyright protection.
Even if your data does not meet the threshold for copyright there is no harm in applying a Creative Commons licence when publishing the data. It lets others know how you would like to be attributed and applies a limitation of liability and warranty clause to the data.
Refer also to Moral Rights and the Library website for further information about Copyright.