RDIM Terminology
Terminology
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-
RDIM
- Introduction
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- 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
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- Conditional Access
- Confidentiality
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- 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
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- Embargo
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- FAIR Data Principles
- File Formats
- File Names
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- 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
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This section provides an alphabetical listing of some of the terminology used in managing research data and information along with the meaning and/or application of these terms.
Click on the letter to see the definitions starting with that letter.
The following access levels can be applied to your data via the Research Data JCU platform.
- Restricted Access
- Most data can be published via open or conditional access but this option is useful for sensitive datasets that cannot be de-identified and for highly confidential data. Making metadata available via a Data Publication ensures your work is more visible and facilitates discussion/collaboration with other researchers.
- Conditional Access
- This can be a good option for sharing sensitive data that has been de-identified. By making access conditional you can ensure requestors are genuine researchers and that they will maintain confidentiality and keep data files secure.
- Open Access
-
Data can be downloaded via a link in Research Data JCU.Genuinely open data is in a machine-readable format on an easily accessible platform with an open licence applied to it. In practice, some licences are more ‘open’ than others. Take a look at our Creative Commons Licence page to learn more about the licences.
This option maximizes the visibility and potential impact of your data and may be required by your funder or publisher.
- More Options
-
You can make data files (in the same dataset) available under different conditions.
Using survey data as an example:- raw data with direct identifiers would need to be stored in a secure location (option 1),
- de-identified and quantitative data might be made available conditionally (2), and
- the survey questions and codebook describing data variables could be public (3).
- Changing Access
- You can change options even after the dataset has been published. Under certain circumstances you may wish to have restricted or conditional access to your data and then open it up after a nominated period.
Consent Types:
It’s important to remember that whatever Access Conditions you apply to your data and information needs to completely align with ethics approvals and consent type. For example:
- If the consent form and related information sheet indicates the data and information is for the ‘specific' purpose of this research project, the data and information CANNOT be used for ANY other purpose, even by the primary researcher.
- However, if the consent form and related information sheet indicates the data and information can be used for ‘extended’ purposes such as related research, the data and information CAN be used for whatever secondary purpose is stated.
- If the consent type is 'unspecified' data and information CAN be used for other (not necessarily related) projects and by other researchers.
Active or working data refers to research data that is being collected, generated, manipulated or otherwise worked with. It is important to make (and regularly update) multiple backup copies of your data, and preferably store them on compliant data storage facilities. It is also important to maintain version control by having a single, clearly defined master copy of your active research data (particularly where your research project involves multiple collaborators and/or data creators).
Active Storage and Collaboration Options
JCU Microsoft OneDrive | JCU Microsoft Teams | Analysis phase only | JCU QCIF Research Data Storage (QRISCloud) | |
---|---|---|---|---|
Storage Capacity | 5 TB | 25 TB per team |
Up to 5 TB and 250, 000 files | > 50 GB up to many TB and 1,000,000 files |
Collaborating with JCU researchers | ✔ | ✔ | ✔ | ✔ |
Collaborating with external researchers | ✔ | ✔1 | ✔2 | ✔ |
Sensitive Data | ✔ | ✔ | ✘ | ✔ |
Remote Access | ✔ | ✔ | ✔ | ✔ |
Data Stored in Australia | ✔ | ✔ | ✔ | ✔ |
Deleted File Recovery | ✔3 via Service Now request | ✘ | ✘ | ✘ |
Suitable for Backups | ✔ | ✔ | ✘ | ✔ |
Best Feature | Quick to setup, easy to use, access from day one. | Includes other methods for collaboration along with file sharing. | Excellent for use with HPC compute for data analysis. | Large-scale data storage |
Getting Setup | JCU Microsoft OneDrive | Make a collaboration tool request. | QRIScloud |
Notes
- Microsoft Team team owners (JCU staff) can add guest accounts or external account.
- Researchers can apply (via ServiceNow) for external collaborators to have access to their JCU HPC account.
- Within 30 days.