Difference between revisions of "Sampling with GPS-enabled smartphone and DII"
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| − | Between 2015 and 2017 a team of researchers involved in the projects [http://www.mod-co.net/wiki/Main_Page MOD-CO] and [https://www.gfbio.org/ GFBio] worked on a best practice workflow for field ecologists. The aim was to enable researchers for effective sampling environmental vouchers with digital documentation of essential parameters already during the field campaign. The workflow established together with co-worekers from Kenya and Algeria included the sampling with GPS-enabled smartphone and the set up of a generic, effective procedure which is basically independent from any data management solution or specific collection management system. The DWB team was involved in the design and implementation of | + | Between 2015 and 2017 a team of researchers involved in the projects [http://www.mod-co.net/wiki/Main_Page MOD-CO] and [https://www.gfbio.org/ GFBio] worked on a best practice workflow for field ecologists. The aim was to enable researchers for effective sampling environmental vouchers with digital documentation of essential parameters already during the field campaign. The workflow established together with co-worekers from Kenya and Algeria included the sampling with GPS-enabled smartphone and the set up of a generic, effective procedure which is basically independent from any data management solution or specific collection management system. The DWB team was involved in the design and implementation of the new data processing tool [[DiversityImageInspector]] (DII) which finally is generating CSV tables. |
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Revision as of 18:17, 12 January 2018
Between 2015 and 2017 a team of researchers involved in the projects MOD-CO and GFBio worked on a best practice workflow for field ecologists. The aim was to enable researchers for effective sampling environmental vouchers with digital documentation of essential parameters already during the field campaign. The workflow established together with co-worekers from Kenya and Algeria included the sampling with GPS-enabled smartphone and the set up of a generic, effective procedure which is basically independent from any data management solution or specific collection management system. The DWB team was involved in the design and implementation of the new data processing tool DiversityImageInspector (DII) which finally is generating CSV tables.
- Detailed information on Step 2 of the workflow with tools for creating QR-codes and how to manually prepare UUID-QR-coded paper envelopes, useful hints concerning carrier types and their subsequent use of UUID-QR-coding of samples during analysis processes are provided in the Wiki platform of the Diversity Workbench (DWB) (http://diversityworkbench.net/Portal/Training_materials) and in the MOD-CO Wiki.
- Sample datasets with csv table are deposited under https://github.com/SNSB/DWB-Contrib/tree/master/DiversityCollection/Import/Schemas/DiversityImageInspector (to be improuved). This file (with import schema applied)is appropriate to be imported in DC.
Reference:
- Triebel, D., Reichert, W., Bosert, S., Feulner, M., Osieko Okach, D., Slimani, A. & Rambold, G. 2018. A generic workflow for effective sampling of environmental vouchers with UUID assignment and image processing. – Database, 2018 (Article ID bax096), 1–10. (doi.org/10.1093/database/bax096), see https://academic.oup.com/database/article-abstract/doi/10.1093/database/bax096/4797113.
