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Research Data Management: Open Access and FAIR Data

Open Access - Sharing or publishing your data

Research data is increasingly seen as part of the corpus of scholarly publications.  Publishers, funders and government agencies may require researchers to publish their data outputs, or make data Open Access.

Will your Open Access data be Findable, Accessible, Interoperable and Reusable (FAIR)?

FAIRsharing policies: A catalogue of data preservation, management and sharing policies from international funding agencies, regulators and journals.

The FAIR Data management principles and a FAIR assessment tool are available from ARDC.

Australian Research Data Commons (ARDC). Publishing data.  Accessed 02/03/2018, Retrieved from

The Open Research Toolkit

The Open Research Toolkit was created by the Open Research Working Group.

The Toolkit contains information, resources and good practice examples related to all aspects of open research, including policy, governance, pathways and processes. It also includes resources for individual researchers interested in engaging in open research practices and training materials for support services fostering open research within their organisations.

FAIR data: about describing your data

Are you planning to make your data known to others? Are you planning to share your data by making it Open Access?
You will need to describe your data to enable others to easily search for, access and cite your data.

The Australian National Data Service recommended metadata schema for data description and citation is RIF-CS. The Schema has guidelines and Elements and usage suggestions.

Dublin Core is another commonly used metadata schema.

Which ever Schema you use, remember that you need to include a number of elements of description to assist others with correctly citing and referencing your data.

Research Vocabularies Australia:  Your data will need subject terms that describe the nature of your research and the data collected to help researchers and others to discover your data. Research Vocabularies are available to support this.

These descriptive metadata elements are essential to your shared data being identified, located, or cited by others in their research.

For support with metadata for your data contact

Datasets as described in CRO:

Cahill, M. A. (Creator), & Thejer, B.(Creator) (2017). MIA Paca2 cell line with haemagglutinin tagged double mutant PGRMC1 insert - Forward sequence : Pancreatic Carcinoma Cells with TripleMutant PGRMC1 insert. Data set/Database, Retrieved from

Kennan, M. A. (Creator), Corrall, S. (Creator), Afzal, W. (Creator). (2012): Academic library survey responses data: Research support services, including bibliometrics and research data management, Charles Sturt University. 68708_ResearchSupportServicesSurvey2012(.xlsx).

The Australian National Data Service Metadata guide gives a detailed overview of Metadata used to describe data.

The dataset record below links to an example of metadata description:

Thapa, Roshan (2015): Botanal and Seedling Data: Rehabilitation of perennial pastures PhD Project. Charles Sturt University.
10.4225/43/54eab173bd39a   (This record is from  Research Data Australia.)

FAIR data: About persistent identifiers (or DOIs) for your data

Persistent identifiers for data can facilitate data sharing, access, attribution and tracking impact or usage. One of the most common form of identifier is the Digital Object Identifier (DOI).

To request support with metadata, subject terms or a DOI for your data contact

Further Information:

ANDS Guide: Digital Object Identifier (DOI) for research data.

This DDC guide gives an explanation of data citation and some strategies for creating links for your data sets. 

DataCite is a global non-profit organisation that provides persistent identifiers (DOIs) for research data. DataCite is also a database of all datasets that have been issued a DOI.

Further Reading

Vines, T. (2018). What's up with Data Citations?  Retrieved from

About Open Data and FAIR - further information

Further Reading

Australian National Data Service. (2019). The FAIR data principles. Retrieved from

Future of Research Communications and e-Scholarship. (2014). The FAIR Data Principles | FORCE11. Retrieved from

Higman, R., Bangert, D., & Jones, S. (2019). Three camps, one destination: the intersections of research data management, FAIR and Open. Insights, 32(1), 18. DOI:

Charles Sturt University acknowledges the traditional custodians of the lands on which its campuses are located, paying respect to Elders, both past and present, and extend that respect to all First Nations Peoples.Acknowledgement of Country

Charles Sturt University is an Australian University, TEQSA Provider Identification: PRV12018. CRICOS Provider: 00005F.