This Record describes the scope of the Great Artesian Basin (GAB) Automatic Data Processing System and outlines Stage 1(Data Transcription), and describes Stage 2, the checking of coded data. The subject of this record is the permanent storage, updating, and retrieval for processing of the data passed through Stages 1 and 2. The system described was developed for application to drill stem test (DST; Formation Test) data by G.E. Seidel (BMR) and then extended to suit the general GAB data by G. Krebs (BRGM).

Case Study: GeoFrame software helps Geoscience Australia provide quick access to 2D and 3D seismic survey data within newly released license/permit in support of successful Australian Acreage Release bidding rounds

Legacy product - no abstract available

Legacy product - no abstract available

The Australian National Marine Data Group was formed by the Heads of Marine Agencies (HOMA) to promote improved interchange of marine data in Australia. The ANMDG held a workshop of practitioners in May 2002 with the intention of identifying major areas of interest and tasks for working groups to address in order to make progress with development of marine data interchange in Australia. This Proceedings CD contains the presentations by speakers in the form of PowerPoint slides and a few Acrobat documents. It was distributed to participants in the workshop.

GeoSciML is the international standard for transfer of digital geological maps and relational database data. GeoSciML was developed over the past decade by the IUGS Commission for the Management and Application of Geoscience Information (CGI), and was adopted as an Open Geospatial Consortium (OGC) standard in June 2016. Ratification as an official OGC standard marked a coming of age for GeoSciML - it now meets the highest standards for documentation and current best practice for interoperable data transfer. GeoSciML is the preferred standard for geoscience data sharing initiatives worldwide, such as OneGeology, the European INSPIRE directive, the Australian Geoscience Portal, and the US Geoscience Information Network (USGIN). GeoSciML is also used by OGC's GroundwaterML data standard [1] and CGI's EarthResourceML standard [2]. Development of GeoSciML version 4 learnt considerably from user experiences with version 3.2, which was released in 2013 [3]. Although the GeoSciML v3 data model was conceptually sound, its XML schema implementation was considered overly complex for the general user. Version 4 developments focussed strongly on designing simpler XML schemas that allow data providers and users to interact with data at various levels of complexity. As a result, GeoSciML v4 provides three levels of user experience - 1. simple map portrayal, 2. GeoSciML-Basic for common age and lithology data for geological features, and 3. GeoSciML-Extended, which extends GeoSciML-Basic to deliver more detailed and complex relational data. Similar to GeoSciML v3, additional GeoSciML v4 schemas also extend the ISO Observations & Measurements standard to cover geological boreholes, sampling, and analytical measurements. The separate levels of GeoSciML also make it easier for software vendors to develop capabilities to consume relatively simple GeoSciML data without having to deal with the full range of complex GeoSciML schemas. Previously mandatory elements of GeoSciML, that were found to be overly taxing on users in version 3, are now optional in version 4. GeoSciML v4 comes with Schematron validation scripts which can be used by user communities to create profiles of GeoSciML to suit their particular community needs. For example, the European INSPIRE community has developed Schematrons for web service validation which require its users to populate otherwise-optional GeoSciML-Basic elements, and to use particular community vocabularies for geoscience terminology. Online assistance for data providers to use GeoSciML is now better than ever, with user communities such as OneGeology, INSPIRE, and USGIN providing user guides explaining how to create simple and complex GeoSciML web services. CGI also provides a range of standard vocabularies that can be used to populate GeoSciML data services. Full documentation and user guides are at www.geosciml.org.

The Christmas Island Geographic Information System (CIGIS) is a collection of spatial data, viewing and analysis tools dealing with Christmas Island. The data include orthophotography, topographic, mining, cultural and environmental features of the island. Compilation of data and its organisation into a GIS together with documentation was undertaken by the Australian Geological Survey Organisation (AGSO) at the request of the Territories Office, Department of Transport and Regional Services (DOTRS). The data are presented in both ESRI ArcView and ArcExplorer projects. The ArcView projects require a licensed copy of ArcView. ArcExplorer is a free viewer and is distributed with the Cocos GIS CD-ROM. Data are stored as ESRI shapefiles and therefore readily useable with most modern GIS applications. Data were received from a variety of custodians and in many cases had no accompanying documentation. Lack of documentation made it increasingly difficult for AGSO with interpretation, translation and documentation of data. AGSO has attempted to include metadata for all datasets to ANZLIC core metadata standards, but the value of this is limited by the poor initial documentation. In addition to limited documentation, many datasets had inconsistent spatial accuracy. The CocosGIS comprises four main CD-ROMs with additional CD-ROMs containing full-colour orthophotography. A hard-copy user guide is distributed with the main CD-ROM set.

No abstract available

Earth comprises systems of enormous complexity that sustain all life and control the distribution of our mineral, energy and water resources. Increasingly earth scientists are now moving away from focusing on single domain research on understanding isolated parts of these intricate systems to adopting multidisciplinary, computationally intensive integrated methodologies to model and simulate the real world complexities of earth systems science. Simultaneously developments in information technology are increasing the capacity of computational systems to credibly simulate complex systems. Real world Solid Earth and Environmental Science data sets are extremely heterogenous, complex and large, and are currently in the order of terabytes (1012 bytes). However, the size and complexity of geoscience data sets are also exponentially increasing, as more powerful modern computing systems combine with enhanced engineering capacity to design and build automated instruments to collect more data and new data types. We are rapidly moving into an era when Earth Scientists will need to have the capacity to analyse petabyte (1015 bytes) databases if they are to realistically model and simulate complex earth processes. Although digital geoscientific data sets are becoming increasingly available over the Internet, current Internet technologies only allow for the downloading of data (if the connection is fast enough): integration, processing and analysis then has to take place locally. As data sets get larger and more complex, then large computational resources are required to effectively process these data. Such resources are increasingly only available to the major industry players, which in turn creates a strong bias against the Small to Middle Enterprises, as well as many University researchers. For those that do not have access to large-scale computing resources, analysis of these voluminous data sets has to be compromised by dividing the data set into smaller units, accepting sub-optimal solutions and/or introducing sub-optimal approximations. It is clear that if we are to begin grappling with accurate analysis of large-scale geoscientific data sets to enable sustainable management of our mineral, energy and water resources, then current computational infrastructures are no longer viable.

Geoscience data standards as a field of research may come as a surprise to many geoscientists, who probably think of it as a dull peripheral issue, of little relevance to their domain. However, the subject is gaining rapidly in importance as the information revolution begins to take hold, as ultimately billions of dollars worth of information are at stake. In this article we take a look at what has happened recently in this field, where we think it is heading, and AGSO's role in national geoscience standards.