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Making molehills out of mountains

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Rapid Data Entry Supporting high-throughput digitisation workflows in EMu Laurence Livermore1 Alex Fell2, Muhammad Nadat2, Andrew Brown2 and Ben Sullivan2 – PowerPoint PPT presentation

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Title: Making molehills out of mountains


1
Rapid Data Entry Supporting high-throughput
digitisation workflows in EMu
Laurence Livermore1 Alex Fell2, Muhammad Nadat2,
Andrew Brown2 and Ben Sullivan2 1 The Natural
History Museum, London 2 KE Software, an Axiell
Group Company
2
The Digitisation Challenge
  • Increased government and public expectation
  • Aim to digitise 20 million specimens in 5 years
  • Current CMS little provision for rapid data entry
  • Need new tools to support digitisation

3
Solving the problem Rapid Data Entry (RDE)
  • Browser-based interface for KE EMu
  • Customisable apps
  • Support rapid data entry
  • Bulk record creation
  • Field validation
  • Normalise and atomise data
  • Project-based approach

4
Project-based Digitisation
  • Managed by one or more leads
  • People may be members of more than one project
  • Project information stored in the collections
    database
  • Most projects will have multiple project-specific
    apps

5
Project Dashboard
  • Permission dependent
  • Three app categories
  • Forms
  • Editors
  • Statistics
  • Multiple apps support various stages/components
    of digitisation

6
Forms
  • Creates new records, including label
    transcription
  • Record sets can be filtered
  • Filtered records are offered to
    editors/transcribers randomly
  • Bulk editing and customised operations through
    scripts

7
Editors
  • Global updater
  • Resolve attachments
  • Apply consistency
  • More targeted than EMu global editor
  • Also created by project lead

8
Statistics
  • Simple reporting mechanism
  • Based on record status
  • Visualisation tool
  • Bar chart
  • Pie chart

9
Project Creation Administration
  • Browser-based configuration
  • Can reference any backend field
  • Permissions can be set per users on both projects
    and apps

10
Example Project Workflow Botanical Sheets
Form 1 - Stub record creation from barcoded sheets
Form 2 - Transcription of localities and
collectors
11
Future RDE Development
  • UX/UI improvements (desktop/tablets)
  • Record navigation and management
  • Ongoing improvements for NHMs digital
    collections programme
  • Support for non-digitisation activities
  • Statistics and reporting

12
Advantages Disadvantages
  • Apps are very flexible
  • No clientside installation required
  • Display and customisation does not
    (necessarily) require core client modifications
  • Steamlined field selection allows for rapid
    data entry
  • Digitisation occurs directly into collections
    database means all data are in one place from
    creation through to
  • Normalisation tools within collections database

Support for mobile/tablet devices allows
novel/unanticipated workflows /- Apps and record
sets need to be configured by a Data
Manager/super user /- Complex normalisation (of
complex data) requires desktop client - Requires
WiFi in collections areas - Mobile/tablets less
suitable for typing - Another system and
interface to support and maintain
13
New Workflows
  • Applications outside of rapid digitisation
  • Specimen relocation loans
  • Condition checking collections audit
  • Data capture from visiting scientists
  • Crowdsourcing

Original photograph taken by John Cummings
http//bit.ly/1vTrzvk
14
Acknowledgements
  • Management and testing
  • Darrell Siebert, Annette Ure and testing staff
    (curators and data managers)
  • Software development
  • Alex Fell, Muhammad Nadat, Andrew Brown and Ben
    Sullivan (KE Software)
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