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      A generic workflow for effective sampling of environmental vouchers with UUID assignment and image processing

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          Abstract

          Sampling of biological and environmental vouchers in the field is rather challenging, particularly under adverse habitat conditions and when various activities need to be handled simultaneously. The workflow described here includes five procedural steps, which result in professional sampling and the generation of universally identifiable data. In preparation for the field campaign, sample containers need to be labelled with universally unique identifier (UUID)-QR-codes. At the collection site, labelled containers, sampled material and attached supplementary information are imaged using a GNSS- respectively GPS-enabled smartphone or camera. Image processing, tagging and data storage as CSV text file is subsequently achieved in a field station or laboratory. For this purposes, the newly implemented tool DiversityImageInspector (URL: http://diversityworkbench.net/Portal/DiversityImageInspector) is used . It addresses combined image and data processing in such a context including the extraction of the QR-coded UUID from the image content and the extraction of geodata and time information from the Exif image header. The import of the resulting data files into a relational database or other kind of data management systems is optional but recommended. If applied, the import might be guided by a data transformation tool with compliant schema as described here. The new approach is discussed also with regard to implications for virtual research environments and data publication networks.

          Database URL: http://diversityworkbench.net/Portal/DiversityImageInspector

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          Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud

          The FAIR Data Principles propose that all scholarly output should be Findable, Accessible, Interoperable, and Reusable. As a set of guiding principles, expressing only the kinds of behaviours that researchers should expect from contemporary data resources, how the FAIR principles should manifest in reality was largely open to interpretation. As support for the Principles has spread, so has the breadth of these interpretations. In observing this creeping spread of interpretation, several of the original authors felt it was now appropriate to revisit the Principles, to clarify both what FAIRness is, and is not.
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              Actionable, long-term stable and semantic web compatible identifiers for access to biological collection objects

              With biodiversity research activities being increasingly shifted to the web, the need for a system of persistent and stable identifiers for physical collection objects becomes increasingly pressing. The Consortium of European Taxonomic Facilities agreed on a common system of HTTP-URI-based stable identifiers which is now rolled out to its member organizations. The system follows Linked Open Data principles and implements redirection mechanisms to human-readable and machine-readable representations of specimens facilitating seamless integration into the growing semantic web. The implementation of stable identifiers across collection organizations is supported with open source provider software scripts, best practices documentations and recommendations for RDF metadata elements facilitating harmonized access to collection information in web portals. Database URL: http://cetaf.org/cetaf-stable-identifiers
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                Author and article information

                Journal
                Database (Oxford)
                Database (Oxford)
                databa
                Database: The Journal of Biological Databases and Curation
                Oxford University Press
                1758-0463
                2018
                09 January 2018
                09 January 2018
                : 2018
                : bax096
                Affiliations
                [1 ]Staatliche Naturwissenschaftliche Sammlungen Bayerns, 80638 München, Germany
                [2 ]University of Bayreuth, 95440 Bayreuth, Germany
                [3 ]JOOUST, 40601 Bondo, Kenya
                [4 ]BADJI Mokhtar University, 23000 Annaba, Algeria
                Author notes
                Corresponding author: Tel: +49 8917861252; Fax: +49 8917861193; Email: triebel@ 123456bsm.mwn.de

                Citation details: Triebel,D., Reichert,W., Bosert,S. et al. A generic workflow for effective sampling of environmental vouchers with UUID assignment and image processing. Database (2017) Vol. 2017: article ID bax096; doi:10.1093/database/bax096

                Article
                bax096
                10.1093/database/bax096
                7206647
                29688348
                fc147832-5559-4eac-b63e-2130f92bfcd3
                © The Author(s) 2018. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 25 September 2017
                : 14 November 2017
                : 28 November 2017
                Page count
                Pages: 10
                Funding
                Funded by: Deutsche Forschungsgemeinschaft 10.13039/501100001659
                Award ID: RA 731/16-1
                Award ID: TR 290/7-2
                Award ID: TR 290/8-1
                Categories
                Original Article

                Bioinformatics & Computational biology
                Bioinformatics & Computational biology

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