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Project Homepage:

Data collections can be seen on:!/class=all/q=aad/p=1/group=Australian%20Antarctic%20Data%20Centre/

Project Members:

Kim Finney (Project Manager)

Dave Connell (Scientific Data Coordinator)

Ursula Harris (GIS)

David Smith (GIS)

Matt Mckellar-Spence (Lead Developer)

ANDS Contact:

Karen Visser (

Project Status:


Data Citation Infrastructure Establishment Program

Australian Antarctic Division

Project Description

Increasingly data are becoming more important than the papers that are published from them. Because of this, it is increasingly important to ensure that data are appropriately labelled to ensure they can be correctly re-used. Labelling data with a dataset DOI allows the original collectors of the data to receive credit from other scientists who use their data, as well as allowing them to track the re-use of their data. This affords a degree of “protection” to Australian Antarctic program (AAp) scientists, who know what their data are being used for.

This project addressed a shortcoming in data citation needs by AAp scientists – primarily through providing them with a standard means for citing their own (and others) data, as well as monitoring the re-use of their data over time. From an organisational viewpoint, it was addressing a shortfall in data citation practices by AAp scientists – who are now much more aware of the benefits of data citation, and are now beginning to practice it on a more regular basis.

Project aims

The Data Citation Infrastructure Establishment Program aimed to enhance infrastructure for data citation, test methodologies for tracking impact (through citation and less formal measures), and provide targeted advice for researchers about benefits.

Project outcomes

We now have a large number of dataset DOIs available for citation, and the number is growing steadily. This means that we now have datasets appearing in data citation indexes, and we can now track their re-use by other scientists. We also have a steadily growing base of “on-board” scientists who are asking for DOIs to be assigned to their datasets. We have also come up with a method for assigning DOIs to data that are not yet published (not public) so that the DOIs can be included in publications – and then the data can be made publicly available.

The AADC has a large collection of public and non-pubic data. They can all be found at, and they all are badged with a Creative Commons Attribution licence (CCBY), as well as the Polar Information Commons CCBY licence. As previously mentioned, dataset DOIs are now being allocated to many of these datasets.

Because of an increase in data citation practices, it is expected that scientists will receive greater credit for their work as the existence of their data is more widely known. There should also be a corresponding increase in data collaborations.

Data Type:

Digital Object Identifiers