Progress in Digitization

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This wiki supports the SPNHC 2014 Symposium: Update on Initiatives and Progress in Digitization of Natural History Collections, Millennium Centre Cardiff Bay, Cardiff, Wales, June 26th.

All across the globe, many Natural History Collections (NHC) are digitising their holdings, seeking funding to digitise, or trying to figure out how they can get started. Logically, with the development of these digital resources, researchers, providers and users are interested in any specimen data gaps noticed, and specimen data use and re-use cases. No matter where you are on this continuum at your institution, keeping up-to-date on what is going on and what is possible is no easy task. In this session, our aim is to provide a broad and deep coverage of current world-wide NHC digitization efforts and encourage collaboration.

Digitization Resources Wiki Home

SPNHC 2014 Progress in Digitization Symposium Agenda and Logistics

Collaborative Notes Documents

Workshop Recordings

Thursday June 26, 2014



PowerPoints and Presentations

Thursday, 26 June 2014

  1. Introduction to this Progress in Digitization Symposium
  2. Slides for Symposium Breaks

  1. Abstract: Developing and Testing Tools and Processes for Creating a Swedish Digital Natural History Collection, (Per Ericson, Fredrik Ronquist, Anders Telenius, Stefan Daume,Kevin Holston, and Karin Karlsson) keywords: automation, optical character recognition, citizen science, e-science,
  2. Abstract: From massive digitisation of Paris Herbarium to a nation-wide program (Simon Chagnoux, Marc Pignal) keywords: optical character recognition, crowdsourcing, e-ReColNat, Muséum national d'Histoire naturelle of Paris, herbarium
  3. Abstract: Barcodes, conveyor belts and laser scanners: putting the contents of the Geological Museum (South Kensington, 1935 - 1985) on the web (Mike Howe, Bob McIntosh, Simon Harris, Michela Contessi & Graham Tulloch (National Geological Repository, British Geological Survey)) keywords: British Geological Survey, fossils, 3D models, conveyor belt, automation
  4. Abstract: Automated mass-digitization line for individual insect specimens (Riitta Tegelberg, Janne Karppinen, Tero Mononen, Mira Sääskilahti, Hannu Saarenmaa) keywords: Finnish Museum of Natural History, digitarium, insects, conveyor belt, automation
  5. Abstract: Image segmentation in high throughput digitisation workflows (Vladimir Blagoderov,Laurence Livermore, Ben Price, Stéfan van der Walt, Pieter Holtzhausen, Vince Smith) keywords: Natural History Museum, automation, insects, microscope slides, synchronization
  6. Abstract: Workflows in the cooperative IMLS Silurian Digitization project between Milwaukee Public Museum and The Field Museum (Patricia Coorough Burke, A. Caywood, M. James, E. Malueg, D. Miller) keywords: Milwaukee Public Museum, Field Museum, Silurian, taxonomy, fossils, workflow
  7. Abstract: Designing a Workflow to Help with Error Detection in a Paleontology (IMLS Silurian Reef) Digitization Project (Paul S. Mayer, L. Connolly, N. Karpus, A. P. Layng) keywords: Field Museum, fossils, workflow, interns, error checking
  8. Abstract: Making molehills out of mountains: crowdsourcing digital access to natural history collections (Laurence Livermore, Vince Smith, John Tweddle) keywords: Natural History Museum, crowdsourcing, transcription, access
  9. Abstract: Exploitation of digital collection data at the Museum für Naturkunde Berlin (Saskia Jancke, Dirk Striebing, Frieder Mayer) keywords: Museum für Naturkunde Berlin, database management, Specify, standardization
  10. Abstract: ZooSphere - A tool for automated spheric image capturing and interactive 3D visualization of biological collection objects (Alexander S. Kroupa, Martin Pluta, Bernhard Schurian, Falko Glöckler) keywords: Museum für Naturkunde Berlin, automation, imaging, 3D, insects, ZooSphere
  11. Abstract: Using optical character recognition (OCR) output in digitization: see your data before it's in the database and after (Deborah L Paul, Andrea Matsunaga, Miao Chen, Jason Best, Sylvia Orli, Elspeth M Haston, William Ulate) keywords: optical character recognition, machine learning, natural language processing, data visualization, confidence scores
  12. Abstract: Incorporating OCR into a digitisation and curation workflow (Elspeth Haston, Robyn Drinkwater, Robert Cubey) keywords:
  13. Abstract: The virtually browseable collection: connecting GIS to whole drawer imaging (Ann Molineux, Robert W. Burroughs, Faye Geigerman) keywords: accessibility, GIS map, Specify, whole drawer imaging, education
  14. Abstract: Georeferencing Fish Collections from the FishNet Network: An Update of Progress and Evaluation of Collaborative Georeferencing Techniques (Nelson E. Rios, Henry L. Bart, Michael H. Doosey) keywords: FishNet, georeference, GEOLocate, Collaborative Georeferencing Client (CoGe)
  15. Abstract: iDigBio's Biospex System for Engaging the Public in Biodiversity Research Specimen Digitization (Elizabeth Ellwood, Austin Mast, Greg Riccardi, Robert Bruhn, Jeremy Spinks) keywords: iDigBio, citizen science, digitization management, Biospex
  16. Abstract: Integrating High Throughput Digitization with Distributed Software: Supporting Data Flows in the New England Vascular Plant Network with FilteredPush Technologies (Paul J. Morris, James Hanken, Maureen Kelly, David B. Lowery, Bertram Ludäscher, James A. Macklin, Chuck McCallum, Robert A. Morris, Tianhong Song, Patrick Sweeney) keywords: FilteredPush, DarwinCore, Symbiota, Specify, quality control
  17. Abstract: Using Complementarity to Improve Plant Specimen Digitization (Rusty Russell, Elspeth Haston & Nicola Nicolson) keywords: botanical specimens, duplication, efficiency, herbaria, exsiccatae
  18. Abstract: Seaweed Collections Online: Mobilising data from national and regional museums (Jo Wilbraham, Juliet Brodie) keywords: Britain, seaweed, Scratchpad, Data Deficient, species distributions
  19. Abstract: From Museum Specimen Database to Ecological Statement (Christine A. Johnson, Richard K. Rabeler, Charles Bartlett) keywords: museum specimen database, data quality, collector bias, pseudoreplication, data analyses, ecological statement

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