ANU Data Management Interest Group meeting

The inaugural meeting of this group was held on Tuesday, 4 September from 9am – 2pm at the Graduate Lounge at ANU University House.  Presentations and associated materials were as follows.

Doug Moncur – ANU ANDS funded projects
Powerpoint presentation 

Margaret Henty – Ethics, consent & data sharing 
ethics guide  
ethics webinar 
MHethicslicensing

Maggie Shapley – Data from an archival perspective
ANU Archives
ANU data management

Ian Wood – Experiences with data management and big science
IOC Workshop Report No. 230 – UNESCO Workshop on Data Publication
IOC Workshop Report No. 230 – UNESCO Workshop on Data Publication 4th Session
IODE Workshop Reports Series

Hans-Joerg Kraus – Teaching about data management
ANU Data Management Manual

Steve McEachern – Australian Data Archive (ADA)
ADA pdf

Ivan Hanigan – NCEPH data management
DataManagementPolicy

Junran Lei – Digital Humanities
OCCAMS
Austlang
Layar – Impactful Augmented Reality in Your Everyday Life
poster_aadh_JL

Jenny Sheehan – CAP cartographic collection
Powerpoint

Karen Visser – Data citation
Karen Visser Data Citation

Tom Worthington’s notes of the meeting are available on his blog

Doug Moncur also took meeting notes available here as a pdf.  20120904dataworkshop.

Do you have some data ?

Development of the data commons infrastructure is now well advanced. We have most of the required functionality to load data in, including self deposit and publish to Research Data Australia.

We’re planning to have a closed beta for mid July, which begs the question – what are we going to put in it.

While we will be carrying out an ANU dataset inventory as part of the project, we’d be really interested to hear from anyone with data to deposit.

We will also be carrying out a set of presentations around the university – if you are interested but either can’t wait or can’t get to a presentation you can view the slides online via slideshare.

Background and context

The ANU EIF Seeding the Commons Project is positioned within the ANU-ANDS Engagement Framework. This Framework is being developed to ensure institutional interests and responsibilities are aligned with ANDS mission and strategies. The Project initiates and develops data management processes in strategic research areas in ways that meet the requirements of the ANDS Seeding the Commons Program. The central goal of the Project is to develop policies and management processes underpinning the ingestion of ANU research data into the Australian Research Data Commons.

In keeping with the goals of the Engagement Framework, an ANU Data Directory will be established within the Project to manage descriptions of research data collections within a common platform. ANDS registry software will be deployed for this task, working with ANDS for the further development of the platform.

The Project will expose research data held at the ANU through the Commons. Funding will be applied to identifying, describing and managing descriptions of the data. Implementation will rest on coordinated contributions from Library, Research Office, Division of Information research support areas, as well as research groups.

Within the Project an inventory of research materials associated with ANU research projects will be carried out to identify materials worthy of exposure as contributions to the University’s and the ANDS data commons vision.

Emphasis will be placed on the sustainable integration of the outcomes of the Project with the procedures, systems and policies of the University. The project will be linked to the University’s access portals, such as Scholar’s Gate, and with the ANDS discovery portal, Research Data Australia (RDA).

The Project will complement the University’s ANDS Data Capture Projects. DC7D (Humanities and allied disciplines) will create a framework for taking existing data, organising it, and depositing it into RDA. SC06 will identify the data to go into the DC7D processes. Humanities, Economics, and Social Sciences will probably offer relevant data. Not all data identified will necessarily feed into DC7D.The Project will also take into account the broader corpus of research collections linked to individual ARC and NHMRC grants.

Realising synergies with University data storage and management services will be an integral part of the Project.

 

The ANU Seeding the Commons Project is positioned within the ANU-ANDS Engagement Framework. This Framework is being developed to ensure institutional interests and responsibilities are aligned with the ANDS mission and strategies. The Project initiates and develops dataset identification and publication processes in a range of research areas in ways that meet the requirements of the ANDS Seeding the Commons Program.

The central goal of the Project is to facilitate the discovery and publication of existing data, metadata, and contextual information from research work carried out by ANU research groups and collaborating partners.

It is recognised that the majority of these small datasets are located within the College of Arts and Social Science and the College of Asia and the Pacific. There are a number of datasets in other colleges. As part of the discovery process the ANU proposes to also identify data suitable for publication held within the Research School of Astronomy and Astrophysics as a demonstrator for data set audits within the sciences.

By identifying these datasets the Division of Information hopes to encourage the development of a culture of dataset publication within these disciplines.

To this end the ANU seeks to modify its publication policies to allow ease of reuse and simplify the administrative framework around dataset publication. Work has already been undertaken in this area, and there is a recognition that further work is required. The work may involve modification of existing policy, the creation of new policy, or both.

Equally it is commonly recognised that one of the barriers to successful dataset publication is the generation of valid item and collection level metadata. The ANU will seek to leverage off the work in its Data Capture projects to put in place tools to facilitate dataset publication.