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Presentation at the 2020 SPNHC & ICOM NATHIST Conference Society for the Preservation of Natural History Collections (SPNHC) and International Council of Museums Committee for Museums and Collections of Natural History (ICOM NATHIST) YouTube recording of the presentation Abstract Many types of research, including studies of nutrient flux, environmental health, or crop diseases, require collection and analysis of both biotic (microbial, plant, animal) and soil, water, or rocksamples, yet there is no single resource that can give identifiers tosamplesand track data about all their materials. The current ecosystem of sample and collection management in the U.S. and globally is highly fragmented across stakeholders including museums, federal agencies, academic institutions, and individual researchers, with a multitude of institutional catalogs, diverse practices for sample identification, and discipline-specific data and metadata standards. TheInternetofSamples(iSamples) is an emerging,transdisciplinaryinfrastructureproviding services to uniquely, consistently, and conveniently identifymaterialsamples, record metadata about them, and link them to othersamples, derived data, and research results published in the scientific literature.iSamplesCentral will provide a low-overhead central discovery and resolution service for any community that wishes to participate, whileiSamples-in-a-Box will deliver distributedinfrastructuretailored to the needs of specific research domains.iSampleswill initially focus onnaturalhistorysamples– any sample where geolocation is of primary importance – but can scale to any domain.iSampleswill extend existing domain- and sample-specific cyberinfrastructure, such as the IGSN Global Sample Number, DataONE, CyVerse, Genomic Observatories Metadata Database (GEOME), System for Earth Sample Registration (SESAR), and Open Context, rendering a cross-domaininfrastructurethat can serve allsamplesfrom thenaturaland built environment.iSampleswill allow scientists to tracknaturalhistorysamples, their derivatives, associated metadata, and data products.iSamplesis a single, distributed,transdisciplinaryinfrastructurebased on domain-neutral technologies, standards, and consistent sample identification that is extensible to accommodate domain-specific needs. The project will thus enhance existing research within disciplines while enabling new research across them. A consistent approach to linkingmaterialsampleswith data, literature, and with other identifiable entities in the scholarly research ecosystem is fundamental for broad adoption and implementation by all stakeholders, including federal agencies, museums, publishers, funders, research datainfrastructureproviders, and individual researchers. |
