Re-publication and Duplication of Data: Authority, Identity, Ethics

Dr Jens Klump1, Dr Mingfang Wu3, Dr Lesley Wyborn2, Farnoosh Sadeghian4

1CSIRO, Perth, Australia
2ANU/NCI, Canberra, Australia
3ARDC, Melbourne, Australia
4Monash University, Australia

Research data in digital form, once published and made accessible online, can be easily copied, stored in multiple places, and re-published through more than one repository or service. Mirroring resources is a common practice, but offering exactly the same version of the data in multiple places raises questions as to why? Further, the owner/custodian of the original dataset often does not know it has happened and there is no recognition of their role in making the dataset available in the first place.

So what are the pros and cons of data re-publication? Reproducibility can become a major issue. How can humans and machines know whether they are accessing an authoritative copy of the data? How can the authoritative source (data centre) be attributed or acknowledged in mirror sites? Which site gets credit for the used and cited data? What needs to be replicated in order to preserve the quality standards of the original data? In this session, we will explore these and other questions and discuss possible next steps to develop best-practice guidelines on data re-publication.

The BoF will be in panel format and will start with 5 minute lightning talks from panel members on four key issues of republication (20 minutes):

1) pro republication (why is it a good idea);

2) counter republication (why it is a bad idea);

2) authority and identity; and

3) credit and ethics.

This will be followed with Panel and plenary discussion (30 minutes) and then closing remarks and next steps (10 minutes).


Biography:

Jens Klump is a geochemist by training and leads the Geoscience Analytics Team in CSIRO Mineral Resources based in Perth, Western Australia. In his work on data infrastructures, Jens covers the entire chain of digital value creation from data acquisition to data analysis with a focus on data in minerals exploration. This includes automated data and metadata capture, sensor data integration, both in the field and in the laboratory, data processing workflows, and data provenance, but also data analysis by statistical methods, machine learning and numerical modelling.

GDA2020 and AGRS metadata guide – bringing consistency in implementation of standards across Australia

Ms Irina Bastrakova1, Mr Joel Haasdyk2, Mr Byron Cochrane3

1Geoscience Australia, Canberra, Australia
2Spatial Services, Department of Customer Service, Australia
3OpenWork Ltd, Nelson, New Zealand

The reliance on positioning technology in areas like digital twins, in-vehicle navigation, automated mining operations and precision agriculture will grow as high position accuracy continues to improve. In Australia it means upgrade to the Australian Geospatial Reference System (AGRS) and GDA2020 datum which provide best support for this higher positional accuracy and enables accounting for the Australian plate tectonic shifts.

While the Australian governments, research and industry sectors were encouraged to work with the new datum, many of them struggled to understand how to be ready for it. The ICSM Metadata and Geodesy Working Groups joint effort ensured the development of a guide explaining how to document the transitioning process using the ISO 19115-1 metadata standard.

The ISO 19115-1 contains a number of classes and elements which help to consistently store information related to upgrades to new datum and reference system, and the history of data transformation. The ‘Preparing metadata for GDA2020 and the AGRS’ guide explains how to use the existing ISO19115-1 standard and XML schema for immediate adoption of GDA2020 and AGRS across Australia to ensure capture of correct data positioning information and minimise risk of incorrect position calculations into the future. It also provides multiple examples to demonstrate common scenarios for recording upgrades to GDA2020 and AGRS and history of data transformation to assist data managers and custodians with understanding how to apply the standard to their particular cases.

This guide illustrates how effective collaboration can contribute toward improved consistency of standard adoption while resolving business needs.


Biography:

Irina Bastrakova is a Director, Spatial Data Architecture at Geoscience Australia.

Irina has been actively involved with international and national geoinformatics communities for more than 19 years. Irina focuses her work on maximising potential of multidisciplinary data assets by leveraging common information models, data patterns and vocabularies.

Irina is the Chair of the Australian Metadata Working Group and a member of many international and national geoinformatics and standards committees.

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