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primary topic: V-FOR-WaTer – the virtual research environment to discover and analyse environmental data

V-FOR-WaTer – the virtual research environment to discover and analyse environmental data
type: Article
abstract: The extent and diversity of environmental data continuously increase due to more and new sensors with higher spatial and temporal resolution and due to the growth and automation of observational networks. The observed data form the basis for a better understanding of ecological systems either by data driven methods or by comparisons of the data with model predictions. However, a considerable amount of these data are difficult to access or even still stored on local data storage devices making it difficult or even impossible to find, access and re-use the data. In addition the data lack a proper metadata description required for an interoperable analysis, hence they are barely useful for science. This results in very time consuming preparation and pre-processing of data, especially when datasets from different sources are combined. The main objectives of V-FOR-WaTer are to simplify data access for environmental sciences, foster data publications, and facilitate preparations of data and their analyses with a comprehensive toolbox. Also, bringing data and tools together in a single environment maximises the reproducibility of analyses and models. We will present the status of the V-FOR-WaTer system and describe its components and features. The database contains point and time series data, with an extensive metadata model customized for hydrological and environmental data that fulfils international standards (INSPIRE, ISO19115). The incorporated datasets originate from university projects and state offices. The V-FOR-WaTer web portal provides user-friendly access to the datasets by way of a comprehensive search and filter menu. The toolbox includes tools for pre-processing, common hydrologic applications and geostatistics, and is easily extendable due to the modular design of the system (e.g. various tools for data scaling are planned). In cooperation with the users and data providers, the further development of V-FOR-WaTer is expected to create a significant benefit fo…
date: 2019
author list: authors
type: EPrint
type: ConferenceObjectEPrint
is part of: repository
has document: V-FOR-WaTer – the virtual research environment to discover and analyse environmental data (PDF)
has document: V-FOR-WaTer – the virtual research environment to discover and analyse environmental data (Other)
subject: 004 Informatik
subject: 020 Bibliotheks- und Informationswissenschaft

V-FOR-WaTer – the virtual research environment to discover and analyse environmental data (PDF)
type: Document
has file: 26733_escience2019_V-FOR-WaTer.pdf
has part: 26733_escience2019_V-FOR-WaTer.pdf

Mirko Mälicke
type: Person
given name: Mirko
family name: Mälicke

Elnaz Azmi
type: Person
given name: Elnaz
family name: Azmi

Marcus Strobl
type: Person
given name: Marcus
family name: Strobl

Jörg Meyer
type: Person
given name: Jörg
family name: Meyer

Streit Achim
type: Person
given name: Streit
family name: Achim

Sibylle Hassler
type: Person
given name: Sibylle
family name: Hassler

Erwin Zehe
type: Person
given name: Erwin
family name: Zehe

E-Science-Tage 2019: Data to Knowledge
type: Conference
type: Event

Heidelberg
type: SpatialThing

V-FOR-WaTer – the virtual research environment to discover and analyse environmental data (Other)
type: Document
is version of: V-FOR-WaTer – the virtual research environment to discover and analyse environmental data (PDF)
is volatile version of: V-FOR-WaTer – the virtual research environment to discover and analyse environmental data (PDF)
is index codes version of: V-FOR-WaTer – the virtual research environment to discover and analyse environmental data (PDF)
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HTML Summary of #26733 V-FOR-WaTer – the virtual research environment to discover and analyse environmental data
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primary topic: V-FOR-WaTer – the virtual research environment to discover and analyse environmental data

004 Informatik
type: Concept
preferred label: 004 Data processing Computer science @en

020 Bibliotheks- und Informationswissenschaft
type: Concept
preferred label: 020 Library and information sciences @en