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Library services for researchers - Research data management

Store research data

As a researcher at UOW, your research data must be stored securely with suitable back-up facilities in place. You are encouraged to select the appropriate storage solution prior to data collection to ensure proper management of the data, avoid potential data loss, and security breaches for confidential data. If you need guidance regarding storage space for exceptionally large datasets, contact the IMTS Helpdesk on x3000.

There are several UOW storage options for research data, with details on their capacity to manage sensitive data, external collaborators, version control and data retention. 

Publish research data

Publishing research data can benefit the wider research community, promote research, reduce duplication effort, and increase impact and engagement by allowing the research to be verified, replicated, and extended. Before sharing your data, you will need to consider ownership, copyright and intellectual property, confidentiality of sensitive or identifiable data, FAIR data and CARE principles, and licensing options so others know how your data can be used.

Research data can be shared or published in different ways:

  •  Open - If your research data is open it has been published online in some form. Data is easily discoverable, fully accessible, and immediately downloadable, and may be a funder requirement.
  •  Mediated - If your research data is mediated limited information about the data has been published online in some form. Data is discoverable but access is mediated by you, or through a custodian. This option may be appropriate if you are concerned about how your data may be used.  
  • Restricted - If your research data is restricted limited information about the data may have been published online but the data itself is not openly available online. Controlled access, usually by password, may be applied to sensitive data or where usage protocols exist.  

Further information about publishing research data considerations, including where to publish data, is available on our Data publishing page.

FAIR and CARE data principles  

The FAIR data principles outline the practical aspects necessary to maximise research data discoverability and reusability. The CARE principles for Indigenous data governance, designed to complement the FAIR data principles, outline how to ensure that Indigenous governance over the data and its use are respected.

FAIR data principles

Findable Accessible Interoperable Reusable
The data has a DOI and metadata that allows it to be easily discovered The data can be accessed by people or machines, though not necessarily openly accessible The data is in a community-accepted language and format   The data has clear licensing information and provenance    
You can check if your data meets the FAIR data principles using the ARDC’s FAIR data self-assessment tool.

CARE principles for Indigenous data governance

Collective benefit Authority to control Responsibility Ethics
Data ecosystems shall be designed and function in ways that enable Indigenous peoples to derive benefit from the data Indigenous peoples’ rights and interests in Indigenous data must be recognised and their authority to control such data be empowered Those working with Indigenous data have a responsibility to share how those data are used to support Indigenous peoples’ self-determination and collective benefit Indigenous peoples’ rights and wellbeing should be the primary concern at all stages of the data life cycle and across the data ecosystem

The information on the FAIR and CARE data principles has been derived from ARDC’s The FAIR Principles, ARDC’s CARE Principles, and GIDA’s CARE Principles for Indigenous Data Governance.

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