Video length: 3 min 17 sec
Articles on the benefits of sharing data:
UK Data Service. n.d. "Why share research data?" https://ukdataservice.ac.uk/learning-hub/new-to-using-data/#why-share-research-data
Christensen, G, Dafoe, A, Miguel, E, Moore, DA and Rose, AK. 2019. "A Study of the Impact of Data Sharing on Article Citations Using Journal Policies as a Natural Experiment". PLoS ONE 14 (12): e0225883. DOI: https://doi.org/10.1371/journal.pone.0225883
Piwowar, HA, Day, RS and Fridsma, DB. 2007. "Sharing Detailed Research Data is Associated with Increased Citation Rate". PLoS ONE 2 (3): e308. DOI: https://doi.org/10.1371/journal.pone.0000308
Having an explicit licence is critical. It allows users to know exactly how they can use your data.
Reuse is freely permitted with only a requirement for attribution or that similar licensing is retained.
Some form of limiting or restrictive condition applies. May apply to personal or confidential information.
All rights reserved. No reuse permitted.
*Table adapted from Australian Research Data Commons (ARDC). Other licensing options can be viewed from the Australian Research Data Commons Licence webpage.
Data needs to be both openly licensed and accessible online. However there may be occasions when a data provider does not have the mechanism to make the data available online. In this instance, although the dataset is Openly licensed it requires mediated access.
|Data is easily discoverable, fully accessible and immediately downloadable.
Data is discoverable but access is facilitated (mediated) through a custodian.
|Data is not discoverable or accessible to others.
Before you can share data you need to clarify who owns it.
Find out more about ethics and consent:
Video length: 2 min 24 sec
Short video (3 min 11 sec) by the Office of Scholarly Communication, Cambridge
The NHMRC and ARC do not mandate open data but strongly encourage that you make data available for re-use. You also need to specify clearly how you plan to manage data when apply for grants. For more help see Create a plan.
Some journals now require that you make supporting data available if you publish with them. Examples include:
Many repositories, where you can expose your data, also include information about data downloads and citation metrics of data.
De-identification aims to allow data to be used by others without the possibility of individuals being identified. Data de-identification may be used to:
Data that is still identifiable (i.e. contains personal information) needs to be managed carefully, through access control and data security measures.
For more information review the Office of the Australian Information Commissioner De-identification decision-making framework.
Sensitive data are data that can be used to identify individuals, places of importance, objects or species that could cause discrimination or harm. Sensitive data can still be published!
For more information see the ARDC page on Sensitive data, which includes information on managing health and medical as well as Indigenous data.
Digital Object Identifiers (DOIs) provide you with a persistent point of access for information or data. Unlike URLs, which can change, or disappear, a DOI stays with information or data at all times.
Example DOI - https://doi.org/10.25954/fjrj-vm54
DOIs are the internationally accepted standard for data citation. It is important that any data you want to be discoverable and re-usable has a DOI attached to it.
This video (4 min 51 sec) by Research Data Netherlands explains the importance of data citations and Digital Object Identifies (DOIs) for data.
DOIs can only be minted for datasets already added to UniSA’s Data Access Portal. If the dataset is already in the Data Access Portal, email the Library’s Discovery Services team with the dataset title, publication year, and the names, affiliations and ORCID identifers of all authors/creators.
If the dataset is not in the Data Access Portal, please contact Ask the Library to discuss depositing your dataset.