A fundamental constituent of a biodiversity observation network is the technological infrastructure that underpins it. The European Biodiversity Network project (EU BON) has been working with and improving upon pre-existing tools for data mobilization, sharing and description. This paper provides conceptual and practical advice for the use of these tools. We review tools for managing metadata, occurrence data, and ecological data and give detailed description of these tools, their capabilities and limitations. This is followed by recommendations on their deployment and possible future enhancements. This is done from the perspective of the needs of the biodiversity observation community with a view to the development of a unified user interface to these data -the European Biodiversity Portal ‡ ‡, §This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.(EBP). We described the steps taken to develop, adapt, deploy and test these tools. This document also gives an overview of the objectives that still need to be achieved and challenges to be addressed for the remainder of the project.
Citizen science is an approach of public participation in scientific research which has gained significant momentum in recent years. This is particularly evident in biology and environmental sciences where input from citizen scientists has greatly increased the number of publicly available observation data. However, there are still challenges in effective networking, data sharing and securing data quality. EU BON project has analyzed the citizen science landscape in Europe with regards to biodiversity research and proposes several policy recommendations. One of the recommendations is a Pan-European citizen science gateway for biodiversity data with dedicated tools for data collection and management. The prototypes of the gateway components are part of the EU BON biodiversity portal and described in current report.
PlutoF online platform (https://plutof.ut.ee) is built for the management of biodiversity data. The concept is to provide a common workbench where the full data lifecycle can be managed and support seamless data sharing between single users, workgroups and institutions. Today, large and sophisticated biodiversity datasets are increasingly developed and managed by international workgroups. PlutoF's ambition is to serve such collaborative projects as well as to provide data management services to single users, museum or private collections and research institutions.
Data management in PlutoF follows a logical order of the data lifecycle Fig. 1. At first, project metadata is uploaded including the project description, data management plan, participants, sampling areas, etc. Data upload and management activities then follow which is often linked to the internal data sharing. Some data analyses can be performed directly in the workbench or data can be exported in standard formats. PlutoF includes also data publishing module. Users can publish their data, generating a citable DOI without datasets leaving PlutoF workbench. PlutoF is part of the DataCite collaboration (https://datacite.org) and so far released more than 600 000 DOIs. Another option is to publish observation or collection datasets via the GBIF (Global Biodiversity Information Facility) portal. A. new feature implemented in 2019 allows users to publish High Throughput Sequencing data as taxon occurrences in GBIF. There is an additional option to send specific datasets directly to the Pensoft online journals. Ultimately, PlutoF works as a data archive which completes the data life cycle.
In PlutoF users can manage different data types. Most common types include specimen and living specimen data, nucleotide sequences, human observations, material samples, taxonomic backbones and ecological data. Another important feature is that these data types can be managed as a single datasets or projects.
PlutoF follows several biodiversity standards. Examples include Darwin Core, GGBN (Global Genome Biodiversity Network), EML (Ecological Metadata Language), MCL (Microbiological Common Language), and MIxS (Minimum Information about any (x) Sequence).
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