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The GGBN Data Portal ( http://www.ggbn.org ,  Droege et al. 2014 ) has established standardised data flows for genomic DNA samples, including voucher specimens, tissue samples, DNA samples as well as resulting sequences and publications. Dealing with different types of DNA (aDNA, gDNA, eDNA) is essential and closely related to user-friendly search and display functionalities. GGBN aims both at preserving voucher specimens of all kinds of DNA as well as making these important data accessible on the Internet.In addition to genomic DNA, the development and use of high-throughput-/next-generation-sequencing (HTS formerly designated NGS) has outstripped current plans of SYNTHESYS and GGBN to join natural history collection data with DNA and tissue collection data.  HTS libraries can be considered as a preparation of the genetic material of a single organism or of  multiple organism (e.g. from an environmental mixed sample). From that point of view, they are the actual physical molecular representation of a specimen or sample. However, these libraries come with specific adaptors that limit their transferability to other sequencing systems. The libraries are prepared at great expense, but frequently are only used for a single project, not making use of additional useful information that could potentially be generated. To increase the potential of the HTS libraries to be used for multiple projects they have to be discoverable via published metadata. Optimally, HTS library metadata will include specific standardized keywords (by e.g. organism, HTS method etc.).Here we present our ideas and a prototype for eDNA samples and HTS libraries based on the GGBN Data Standard ( Droege et al. 2016 ). A use case collection from animals, diatoms, fungi and plants has been developed and is available in the GGBN Sandbox (see more details at  http://wiki.ggbn.org/ggbn/Use_Case_Collection ). These examples will be improved upon and kept on-line at least until 2020, so progress can be observed.

Environmental samples, eDNA and HTS libraries – data standard proposals from the Global Genome Biodiversity Network (GGBN)