This month's topic - Information and Data Quality; US and Australia

A special international Tech Talk with US speakers from the Earth Science community and from NCI in Australia. http://wiki.esipfed.org/index.php/Information_Quality

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- Register at: https://info-data-qual-us-au.eventbrite.com.au

- Event: https://www.meetup.com/monthlytechtalk/

- Slides/Videos from recent Tech Talks now at: https://www.meetup.com/monthlytechtalk/about/

- Add and vote on topics for future tech talks! https://poll.ly/#/2JYgEl3G

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Speakers:
1. ESIP presenters: (Yaxing Wei (Oak Ridge National Laboratory Distributed Active Archive Center), Ge Peng (NOAA's Cooperative Institute for Climate and Satellites - North Carolina), Hampapuram Ramapriyan (Science Systems and Applications, Inc.), David F Moroni (JPL, NASA).

The ESIP Information Quality Cluster (IQC) has been active since 2014 covering a broad spectrum of topics related to information quality in Earth sciences. The cluster’s vision is to “become internationally recognized as an authoritative and responsive information resource for guiding the implementation of data quality standards and best practices of the science data systems, datasets, and data/metadata dissemination services.” The IQC considers four aspects of quality – Data Quality, Product Quality, Stewardship Quality and Service Quality.

2. Dr Kelsey Drucken, Data Collections Manager (Acting), National Computational Infrastructure, Canberra
Title: A Data Quality Strategy to enable FAIR, programmatic access across large diverse data collections for High Performance Data Analysis
Contact: Kelsey.Druken -at- anu.edu.au
See recent paper in Informatics: https://doi.org/10.3390/informatics4040045.
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-------------------------------Registration and Venues ---------------------------

For catering purposes and getting remote access, please register now at Eventbrite.(https://info-data-qual-us-au.eventbrite.com.au).

The talks will take about an hour (usually 3:00pm; followed by face-to-face networking and discussion at the hub locations as listed below (usually 4:00pm). The local face-to-face networking and activities are facilitated by our wonderful local organisers..

Venues:
You are encouraged to go to your local hub (listed below) to participate. For those who aren't able to attend at any of the hubs, we will email you the virtual meeting ID after you register yourself at the Eventbrite.

Adelaide: University of Adelaide: Ira Raymond Room, Barr Smith Library, University of Adelaide North Terrace Campus (starts 10.30am ACDT)

Brisbane/Toowoomba:
1. UQ: Room 505, level 5, Axon Building 47, University of Queensland, St Lucia Campus (starts 10.00am AEST)
2. USQ: Q528B, QBlock, Toowoomba Campus, University of Southern Queensland (starts 10.00am AEST)

Canberra: ANU: Meeting room 1, 9 Liversidge Street, Acton, ACT 2601 (starts 11.00am AEDT)

Hobart: Huon Room, CSIRO Oceans and Atmosphere, Castray Esplanade, Battery Point. (starts 11.00am AEDT)

Melbourne:
1. Deakin University: Deakin Downtown, 727 Collins Street (starts 11.00am AEDT)
2. Monash University: Room G37, (south-west corner) S.T.R.I.P. 1, 15 Innovation Walk, Monash Clayton Campus (starts 11.00am AEDT)
3. La Trobe University, Bundoora: Vislab, Research Commons, La Trobe Library (starts 11.00am AEDT)
4. Victoria University, Footscray: Room A323, Footscray Park Campus (starts 11:00am AEDT)

Perth:
1.ARRC Boardroom - online only this month (26 Dick Perry Ave, Kensington) (starts 8.00am AWST)
2.Edith Cowan University - online only this month, Building 31, Level 4, Room 447, Joondalup Campus (starts 8.00am AWST)

Sydney: UTS: Room CB01.09.29, Level 9, UTS Tower, 15 Broadway, Ultimo, City Campus (starts 11:00am AEDT)

Contact: richard.ferrers or mingfang.wu -at- ardc.edu.au for more information about venues.

Register here

CSIRO and the Australian Research Data Commons (ARDC) are seeking to engage with the medical research community in developing a ‘National framework for capturing value from publicly funded clinical research data’.

Australian invests a large amount of money in clinical trials, cohort studies and registries each year. In the main, once the research has been completed these data sets lay dormant, inaccessible and isolated with significant untapped latent value. With the accelerating advances in harmonised data and analytics further investment in expanding the digital infrastructure can realise significant additional value from these datasets

Given the emerging opportunities for rethinking clinical trials, cohorts, meta-analyses, registries, therapeutic guidelines and new science and technologies emerging in a dynamic and networked data-driven world, it has been suggested that a nationally supported approach to data storage, enhanced access, curation, provenance, standards, analysis, sharing and reward systems, while protecting privacy, might contribute positively to the health research community.

CSIRO and the Australian Research Data Commons (ARDC) will be running workshops to understand the current environment, investigate this premise, and if appropriate build a research-community-led alliance and develop a ‘National framework for capturing value from publicly funded clinical research data’, to guide further infrastructure, research and community activity.

There will be one workshop in Canberra on 6 March 2019 from 9:30am to 3:30pm AEDT, and potentially another mid 2019 to be announced.

These workshops are consultations aimed ONLY at:

research funders
research institutions
peak medical research bodies
national infrastructure providers
research leaders in the clinical trials and cohort studies community
key opinion leaders

For more information about the project please see the project proposal.

Please note that space is limited for this workshop, and registration via Eventbrite may not guarantee a place.

For further information about the workshop please contact Kate LeMay at ARDC, kate.lemay@ardc.edu.au.

Webinar start time is 12:00 noon, AEDT

To enable reproducibility of research results, it is important for a researcher to be able to cite the exact dataset that was used to underpin their research, especially when the dataset is large, dynamic and evolving over time. One aspect of reproducibility is the need for unambiguous references to a specific version of a dataset. However, such systematic data versioning practices are currently not available. 

Versioning procedures and best practices are well established for scientific software and can be used to enable reproducibility of scientific results. The code base of large software projects does bear some resemblance to large dynamic datasets. Are versioning practices for code also suitable for datasets? When are the differences sufficient to warrant defining a new version and minting a new Digital Object Identifier (DOI)?

Over the past two years, the Research Data Alliance (RD-A) Data Versioning Working Group has collected numerous use cases of data versioning practices and extracted data versioning patterns. Many of these use cases have been drawn from Australian research and data intensive organisations representing a variety of perspectives and practices.

Join this webinar to hear a summary of the use cases collected, learn about the versioning patterns identified and review a draft of the Groups’ final report and recommendations. There will be time for your input and questions.

The webinar will be presented by Working Group Co-Chairs, Dr Jens Klump and Dr Lesley Wyborn.

Register:  https://attendee.gotowebinar.com/register/999978734813386765