DEIMS-SDR – A web portal to document research sites and their associated data

Wohner, Christoph; Peterseil, Johannes; Poursanidis, Dimitris; Kliment, Tomáš; Wilson, Mike; Mirtl, Michael; Chrysoulakis, Nektarios. 2019 DEIMS-SDR – A web portal to document research sites and their associated data. Ecological Informatics, 51. 15-24.

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Climate change and other drivers are affecting ecosystems around the globe. In order to enable a better understanding of ecosystem functioning and to develop mitigation and adaptation strategies in response to environmental change, a broad range of information, including in-situ observations of both biotic and abiotic parameters, needs to be considered. Access to sufficient and well documented in-situ data from long term observations is therefore one of the key requirements for modelling and assessing the effects of global change on ecosystems. Usually, such data is generated by multiple providers; often not openly available and with improper documentation. In this regard, metadata plays an important role in aiding the findability, accessibility and reusability of data as well as enabling reproducibility of the results leading to management decisions. This metadata needs to include information on the observation location and the research context. For this purpose we developed the Dynamic Ecological Information Management System – Site and Dataset Registry (DEIMS-SDR), a research and monitoring site registry ( that not only makes it possible to describe in-situ observation or experimentation sites, generating persistent, unique and resolvable identifiers for each site, but also to document associated data linked to each site. This article describes the system architecture and illustrates the linkage of contextual information to observational data. The aim of DEIMS-SDR is to be a globally comprehensive site catalogue describing a wide range of sites, providing a wealth of information, including each site's location, ecosystems, facilities, measured parameters and research themes and enabling that standardised information to be openly available.

Item Type: Publication - Article
Digital Object Identifier (DOI):
UKCEH and CEH Sections/Science Areas: Pollution (Science Area 2017-)
ISSN: 1574-9541
Additional Information. Not used in RCUK Gateway to Research.: Open Access paper - full text available via Official URL link.
Additional Keywords: DEIMS-SDR, metadata, protected areas, research sites, long term observations, ecosystem status, persistent identification
NORA Subject Terms: Ecology and Environment
Computer Science
Data and Information
Date made live: 27 Feb 2019 17:34 +0 (UTC)

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