ORCID Profile
0000-0003-0870-3192
Current Organisations
CSIRO
,
University of Queensland
,
Zentrum fur Marine Umweltwissenschaften
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Publisher: Ubiquity Press, Ltd.
Date: 2020
DOI: 10.5334/DSJ-2020-018
Publisher: Zenodo
Date: 2020
Publisher: Informa UK Limited
Date: 29-07-2014
Publisher: Zenodo
Date: 2020
Publisher: Copernicus GmbH
Date: 23-03-2020
DOI: 10.5194/EGUSPHERE-EGU2020-19895
Abstract: & & In October 2019, a new working group (InteroperAble Descriptions of Observable Property Terminology or I-ADOPT WG& sup& & /sup& ) officially launched its 18-month workplan under the auspices of the Research Data Alliance (RDA) co-led by ENVRI-FAIR& sup& & /sup& project members. The goal of the group is to develop a community-wide, consensus framework for representing observable properties and facilitating semantic mapping between disjoint terminologies used for data annotation. The group has been active for over two years and comprises research communities, data centers, and research infrastructures from environmental sciences. The WG members have been heavily involved in developing or applying terminologies to semantically enrich the descriptions of measured, observed, derived, or computed environmental data. They all recognize the need to enhance interoperability between their efforts through the WG& #8217 s activities.& & & & Ongoing activities of the WG include gathering user stories from research communities (Task 1), reviewing related terminologies and current annotation practices (Task 2) and - based on this - defining and iteratively refining requirements for a community-wide semantic interoperability framework (Task 3). Much like a generic blueprint, this framework will be a basis upon which terminology developers can formulate local design patterns while at the same time remaining globally aligned. This framework will assist interoperability between machine-actionable complex property descriptions observed across the environmental sciences, including Earth, space, and bio ersity science. The WG will seek to synthesize well-adopted but still disparate approaches into global best practice recommendations for improved alignment. Furthermore, the framework will help mediate between generic observation standards (O& M& sup& & /sup& , SSNO& sup& & /sup& , SensorML& sup& & /sup& , OBOE& sup& & /sup& , ..) and current community-led terminologies and annotation practices, fostering harmonized implementations of observable property descriptions. Altogether, the WG& #8217 s work will boost the Interoperability component of the FAIR principles (especially principle I3) by encouraging convergence and by enriching the terminologies with qualified references to other resources. We envisage that this will greatly enhance the global effectiveness and scope of tools operating across terminologies. The WG will thus strengthen existing collaborations and build new connections between terminology developers and providers, disciplinary experts, and representatives of scientific data user groups.& & & & & In this presentation, we introduce the working group to the EGU community, and invite them to join our efforts. We report the methodology applied, the results from our first three tasks and the first deliverable, namely a catalog of domain-specific terminologies in use in environmental research, which will enable us to systematically compare existing resources for building the interoperability framework.& & & & & & sup& & /sup& roups/interoperable-descriptions-observable-property-terminology-wg-i-adopt-wg& br& & sup& & /sup& envri.eu/home-envri-fair/& br& & sup& & /sup& tandard/32574.html& br& & sup& & /sup& www.w3.org/TR/vocab-ssn/& br& & sup& & /sup& tandards/sensorml& br& & sup& & /sup& github.com/NCEAS/oboe/& &
Publisher: MDPI AG
Date: 10-08-2015
DOI: 10.3390/IJGI4031346
Publisher: Copernicus GmbH
Date: 23-03-2020
DOI: 10.5194/EGUSPHERE-EGU2020-7058
Abstract: & & Pressing environmental and societal challenges demand the reuse of data on a much larger scale. Central to improvements on this front are approaches that support structured and detailed data descriptions of published data. In general, the reusability of scientific datasets such as measurements generated by instruments, observations collected in the field, and model simulation outputs, require information about the contexts through which they were produced. These contexts include the instrumentation, methods, and analysis software used. In current data curation practice, data providers often put a significant effort in capturing descriptive metadata about datasets. Nonetheless, metadata about instruments and methods provided by data authors are limited, and in most cases are unstructured.& & & & The & #8216 Interoperability& #8217 principle of FAIR emphasizes the importance of using formal vocabularies to enable machine-understandability of data and metadata, and establishing links between data and related research entities to provide their contextual information (e.g., devices and methods). To support FAIR data, PANGAEA is currently elaborating workflows to enrich instrument information of scientific datasets utilizing internal as well as third party services and ontologies and their identifiers. This abstract presents our ongoing development within the projects FREYA and FAIRsFAIR as follows:& & & ul& & li& Integrating the AWI O2A (Observations to Archives) framework and associated suite of tools within PANGAEA& #8217 s curatorial workflow as well as semi-automatized ingestion of observatory data.& /li& & li& Linking data with their observation sources (devices) by recording the persistent identifiers (PID) from the O2A sensor registry system (sensor.awi.de) as part of the PANGAEA& instrumentation database.& /li& & li& Enriching device and method descriptions of scientific data by annotating them with appropriate vocabularies such as the NERC device type and device vocabularies or scientific methodology classifications.& /li& & /ul& & & In our contribution we will also outline the challenges to be addressed in enabling FAIR vocabularies of instruments and methods. This includes questions regarding reliability and trustworthiness of third party ontologies and services. Further, challenges in content synchronisation across linked resources and implications on FAIRness levels of data sets such as dependencies on interlinked data sources and vocabularies.& & & & We will show in how far adapting, harmonizing and controlling the used vocabularies, as well as identifier systems between data provider and data publisher, improves the findability and re-usability of datasets , while keeping the curational overhead a slow as possible. This use case is a valuable ex le of how improving interoperability through harmonization efforts, though initially problematic and labor intensive, can benefits to a multitude of stakeholders in the long run: data users, publishers, research institutes, and funders.& &
Publisher: Zenodo
Date: 2020
Publisher: Zenodo
Date: 2020
Publisher: Zenodo
Date: 2020
Publisher: Ubiquity Press, Ltd.
Date: 2021
DOI: 10.5334/DSJ-2021-004
Publisher: Zenodo
Date: 2020
Publisher: Zenodo
Date: 2020
Publisher: ACM
Date: 10-09-2007
Publisher: Zenodo
Date: 2020
Publisher: Zenodo
Date: 2018
Publisher: Zenodo
Date: 2020
Publisher: Zenodo
Date: 2020
Publisher: Zenodo
Date: 2020
Publisher: Zenodo
Date: 2020
Publisher: Zenodo
Date: 2020
Publisher: Zenodo
Date: 2020
Publisher: Bentham Science Publishers Ltd.
Date: 10-2012
Publisher: Stef92 Technology
Date: 20-06-2014
Publisher: Zenodo
Date: 2020
Publisher: Zenodo
Date: 2020
Publisher: Elsevier BV
Date: 11-2021
Publisher: Zenodo
Date: 2020
Publisher: Zenodo
Date: 2020
Publisher: Zenodo
Date: 2020
Publisher: Zenodo
Date: 2020
Publisher: Zenodo
Date: 2018
Publisher: Zenodo
Date: 2020
Publisher: Zenodo
Date: 2020
Publisher: Zenodo
Date: 2020
Publisher: Ubiquity Press, Ltd.
Date: 2021
DOI: 10.5334/DSJ-2021-033
Publisher: Zenodo
Date: 2022
Publisher: Ubiquity Press, Ltd.
Date: 2023
DOI: 10.5334/DSJ-2023-005
Publisher: Zenodo
Date: 2020
Publisher: Springer US
Date: 2011
Publisher: IEEE
Date: 2008
Publisher: Zenodo
Date: 2020
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Anusuriya Devaraju.