IR to RIMS Transforming an Institutional Repository Into a Research - - PowerPoint PPT Presentation

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IR to RIMS Transforming an Institutional Repository Into a Research - - PowerPoint PPT Presentation

IR to RIMS Transforming an Institutional Repository Into a Research Information Management System Craig Feldman & Darryl Meyer Supervised by Prof Hussein Suleman 1 Introduction (1) Migrate two NRF databases to DSpace Current and


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SLIDE 1

IR to RIMS

Craig Feldman & Darryl Meyer Supervised by Prof Hussein Suleman

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Transforming an Institutional Repository Into a Research Information Management System

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SLIDE 2

Introduction (1)

  • Migrate two NRF databases to DSpace

○ Current and Complete Research Projects ○ NRF Funded Projects

  • Using Nexus StarWeb legacy databases
  • Currently submissions are time consuming
  • DSpace will allow remote submissions

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SLIDE 3

Introduction (2)

  • Build features of an RIMS into DSpace

○ Like those found in InfoEd, e.g. Reporting

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  • DSpace is the most widely used digital

repository i.e. features widely received

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SLIDE 4

Objectives

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  • Streamline the NRF submission process
  • Reduce submission workload
  • Build features we think are missing in

DSpace

  • Transform DSpace into a RIMS
  • Produce generalised tools
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SLIDE 5

Proposed Solution

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  • Build 4 tools as add-on features

○ Craig Feldman ■ Automatic Mapper ■ Manual Mapper ○ Darryl Meyer ■ Ingestion Manager ■ Report Writer

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SLIDE 6

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SLIDE 7

Automatic and Manual Metadata Mappers

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SLIDE 8

Automatic and Manual Mappers (1)

  • CSV legacy data input
  • Automatically map to metadata fields
  • Regular expression and dictionary lookup
  • Manual corrections to errors and omissions
  • Web-based GUI

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SLIDE 9

Automatic and Manual Mappers (2)

Evaluated using:

  • Accuracy measures
  • Usability tests

Key success factors:

  • Successfully map most fields
  • Easy to correct any errors or omissions

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SLIDE 10

Current Progress

  • Looked at previous similar projects
  • Gathering user requirements and input
  • Looking at various techniques

○ e.g. Machine Learning

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SLIDE 11

What’s Next

  • Machine learning?
  • Development and user interface
  • Testing and evaluation

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SLIDE 12

Ingestion Manager

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SLIDE 13

Ingestion Manager (1)

  • Standardized mapping as input
  • Interface with the DSpace REST API
  • Allow user to remotely submit batches
  • Web-based GUI

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SLIDE 14

Ingestion Manager (2)

Evaluated using:

  • Accuracy measures
  • Usability tests

Key success factors:

  • Generate correct files and folders from mapping
  • All content correctly ingested into DSpace

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SLIDE 15

Current Progress

  • Basic UI implemented
  • Interfaces with DSpace REST API
  • Accepts single submissions
  • Gathering user requirements and input

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SLIDE 16

What’s Next

  • Accept mapping from the mappers
  • Allow for batch submissions
  • Integrate with submission workflow
  • Refine UI

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SLIDE 17

Report Writer

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SLIDE 18

Report Writer (1)

  • Introduce advanced reporting capabilities
  • Allow for user designed reports
  • Automatic report generation
  • Integrate open source reporting solution
  • Web-based GUI

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SLIDE 19

Report Writer (2)

Evaluated using:

  • Flexibility measures
  • Usability tests

Key success factors:

  • Meaningful, exportable & printable reports

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SLIDE 20

Current Progress

  • Integrated the open source business

intelligence solution ReportServer

  • Reports designed in Eclipse BIRT
  • Gathering user requirements and input

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SLIDE 21

What’s Next

  • Design useful reports based on feedback
  • Configure to run alongside DSpace

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SLIDE 22

System Overview

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SLIDE 23

Related Work

  • South Africa National ETD portal
  • DSpace plugins

○ @mire report writer

  • Scripts to batch ingest data into DSpace

○ Need for a generic import tool

  • Schema mappings

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SLIDE 24

Thank You

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goo.gl/khtx6z

Link to our survey: