Sharing or publishing your research 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.
Australian National Data Service (ANDS). Publishing data. Accessed 02/03/2018, Retrieved from http://www.ands.org.au/working-with-data/publishing-and-reusing-data/publishing
Benefits of Publishing Research Data
What are the benefits of publishing your research data?
- Increased visibility to the Research Community
- Research outputs can be verified and scrutinised
- Research can be shared and re-used
- Maximises funding investment
- Promotes a sharing institutional culture
The Impact of Australian Research Data
"...The #dataimpact eBook brings together 16 of the stories collected during the #dataimpact campaign. The stories showcase the real-life impact of Australian research data."
Australian National Data Service. (2018). #dataimpact. Retrieved from https://www.ands.org.au/news-and-events/dataimpact
Who is already Publishing Research Data?
Where to find and publish research data
Data Repositories and Archives
Repositories can be a rich source of data for reuse, or a place to publish your own data so others can find it.
The Australian Data Archive : National service for the collection, preservation and access of digital Social Research data for secondary analysis by academic researchers and other users.
Data.gov.au : provides an easy way to find, access and reuse public data.
Research Data Australia : helps you find, access, and reuse data for research from over one hundred Australian research organisations, government agencies, and cultural institutions.
Supplementary Material Published with a Research Article
Scholarly publications are encouraging access to research data by developing policies that govern supplementary data to the papers they publish.
This is a list of journals with policies encouraging or requiring authors to provide open data for their published articles
Data journals focus on the research data itself. The data is peer reviewed in a similar manner to scholarly articles.
This list of data journals was complied by the University of Edinburgh.
FAIR data: About describing your data
Are you planning to make your data known to others? Are you planning to share your data?
You will need to describe your data to enable others to easily search for, access and cite your data.
Metadata Schemas: 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 firstname.lastname@example.org
Datasets as described in CRO:
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.
This record is from Research Data Australia.
FAIR data: About persistent identifiers 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 email@example.com
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.
Vines, T. (2018). What's up with Data Citations? Retrieved from https://scholarlykitchen.sspnet.org/2018/05/28/whats-up-with-data-citations/
For data that are open access, you may also wish to add licensing conditions. One way to do this is with creative commons licences.
As a minimum, data needs to be appropriately attributed (cited) so it's a good idea to always add a licence so it is clear what your intentions are for sharing.
A Creative Commons (CC) licence is one of several public copyright licenses that enable the free distribution of an otherwise copyrighted work. A CC licence is used when an author wants to give people the right to share, use, and build upon a work that they have created without infringing copyright. Offering your work under a Creative Commons licence does not mean giving up your copyright but rather permits users to make use of your material in various ways, but only on certain conditions.