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An open data infrastructure for the study of anthropogenic hazards linked to georesource exploitation.

ABSTRACT: Mining, water-reservoir impoundment, underground gas storage, geothermal energy exploitation and hydrocarbon extraction have the potential to cause rock deformation and earthquakes, which may be hazardous for people, infrastructure and the environment. Restricted access to data constitutes a barrier to assessing and mitigating the associated hazards. Thematic Core Service Anthropogenic Hazards (TCS AH) of the European Plate Observing System (EPOS) provides a novel e-research infrastructure. The core of this infrastructure, the IS-EPOS Platform (tcs.ah-epos.eu) connected to international data storage nodes offers open access to large grouped datasets (here termed episodes), comprising geoscientific and associated data from industrial activity along with a large set of embedded applications for their efficient data processing, analysis and visualization. The novel team-working features of the IS-EPOS Platform facilitate collaborative and interdisciplinary scientific research, public understanding of science, citizen science applications, knowledge dissemination, data-informed policy-making and the teaching of anthropogenic hazards related to georesource exploitation. TCS AH is one of 10 thematic core services forming EPOS, a solid earth science European Research Infrastructure Consortium (ERIC) (www.epos-ip.org).

SUBMITTER: Orlecka-Sikora B

PROVIDER: S-EPMC7066136 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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An open data infrastructure for the study of anthropogenic hazards linked to georesource exploitation.

Orlecka-Sikora Beata B Lasocki Stanisław S Kocot Joanna J Szepieniec Tomasz T Grasso Jean Robert JR Garcia-Aristizabal Alexander A Schaming Marc M Urban Paweł P Jones Glenda G Stimpson Ian I Dineva Savka S Sałek Piotr P Leptokaropoulos Konstantinos K Lizurek Grzegorz G Olszewska Dorota D Schmittbuhl Jean J Kwiatek Grzegorz G Blanke Aglaja A Saccorotti Gilberto G Chodzińska Karolina K Rudziński Łukasz Ł Dobrzycka Izabela I Mutke Grzegorz G Barański Adam A Pierzyna Aleksandra A Kozlovskaya Elena E Nevalainen Jouni J Kinscher Jannes J Sileny Jan J Sterzel Mariusz M Cielesta Szymon S Fischer Tomas T

Scientific data 20200311 1

Mining, water-reservoir impoundment, underground gas storage, geothermal energy exploitation and hydrocarbon extraction have the potential to cause rock deformation and earthquakes, which may be hazardous for people, infrastructure and the environment. Restricted access to data constitutes a barrier to assessing and mitigating the associated hazards. Thematic Core Service Anthropogenic Hazards (TCS AH) of the European Plate Observing System (EPOS) provides a novel e-research infrastructure. The ...[more]

PMID: 32161264

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Project description:With the advent of high-throughput technologies, a great wealth of variation data is being produced. Such information may constitute the basis for correlation analyses between genotypes and phenotypes and, in the future, for personalized medicine. Several databases on gene variation exist, but this kind of information is still scarce in the Semantic Web framework. In this paper, we discuss issues related to the integration of mutation data in the Linked Open Data infrastructure, part of the Semantic Web framework. We present the development of a mapping from the IARC TP53 Mutation database to RDF and the implementation of servers publishing this data.A version of the IARC TP53 Mutation database implemented in a relational database was used as first test set. Automatic mappings to RDF were first created by using D2RQ and later manually refined by introducing concepts and properties from domain vocabularies and ontologies, as well as links to Linked Open Data implementations of various systems of biomedical interest. Since D2RQ query performances are lower than those that can be achieved by using an RDF archive, generated data was also loaded into a dedicated system based on tools from the Jena software suite.We have implemented a D2RQ Server for TP53 mutation data, providing data on a subset of the IARC database, including gene variations, somatic mutations, and bibliographic references. The server allows to browse the RDF graph by using links both between classes and to external systems. An alternative interface offers improved performances for SPARQL queries. The resulting data can be explored by using any Semantic Web browser or application.This has been the first case of a mutation database exposed as Linked Data. A revised version of our prototype, including further concepts and IARC TP53 Mutation database data sets, is under development.The publication of variation information as Linked Data opens new perspectives: the exploitation of SPARQL searches on mutation data and other biological databases may support data retrieval which is presently not possible. Moreover, reasoning on integrated variation data may support discoveries towards personalized medicine.

Dataset Information

An open data infrastructure for the study of anthropogenic hazards linked to georesource exploitation.

Publications

An open data infrastructure for the study of anthropogenic hazards linked to georesource exploitation.

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