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Learning outcomes (by the end of the training event attendees will be able to):

  1. Distinguish between different file types and identify the requirements for characterising each of them.
  2. Carry out a number of identification, characterisation, and duplication detection experiments on example files.
  3. Critically evaluate characterisation and identification tools and assess their advantages and disadvantages when used in different scenarios.
  4. Compare and contrast the differences in running characterisation and identification tools both stand-alone and within workflows.
  5. Envisage a system that combines workflows with identification, characterisation and validation tools to suit a variety of scenarios.
  6. Conduct an in-depth analysis of large volumes of identification and characterisation data and find representative sample records suitable for preservation planning experiments.

Thursday 6 December 

Time Session Facilitator Learning outcomes
09.30 - 10.00 Registration    
10.00 - 10.15 Welcome and housekeeping Miguel Ferreira, KEEPS  
10.15 - 11.15 Introduction to file formats 
Understanding the different requirements for identification and characterisation experiments

File format identification and characterisation tools: file, droid, tika, exiftool
What can they do?
File Format Identification, File Format Characterisation,
File Format Validation, File Format Signature Files

Carl Wilson, OPF
Asger Blekinge, SB
Dave Tarrant, OPF
1
11.15 - 11.30 Coffee    
11.30 - 12.45 Applying file format tools to different scenarios (demonstrations)
How do they compare?
Carl Wilson, OPF 
Asger Blekinge, SB 
Dave Tarrant, OPF
1
12.45 - 13.45 Lunch    
13.45 - 15.15 Break out groups: practical exercises
Creating file format profiles with an example dataset
Command line processing

Evaluation of the results
Carl Wilson, OPF
Asger Blekinge, SB
Dave Tarrant, OPF

2
15:15 - 15.30 Coffee
 
15.30 - 16:30 Wrapping tools for identification and characterisation
FITS (File Information Tool Set) 

Panel session: advantages and disadvantages of wrapping tools
Q&A
Petar Petrov, TUWIEN


All
3
16.30 - 17.00 Wrap up Dave Tarrant, OPF  
17.00 Close    
20.00 Event dinner    

Friday  7 December

Time Session Facilitator Learning outcomes
09.00 - 09.10 Welcome back, overview of agenda for the day Dave Tarrant, OPF  
09.10 - 10.15 Using file format identification tools as part of a workflow
Introduction to Taverna workflows
Demonstration: Web archive content identification over ARC files
using tika in a Taverna workflow
Sven Schlarb, ONB 4
10.15 - 10.30 Coffee    
10.30 - 11.45 Comparing the Taverna workflow with a DROID version of the workflow
Introduction to file format identification using a Hadoop cluster (demonstration)
Understanding the implementation differences
Sven Schlarb, ONB
4
11.45 - 12.15 Comparison of results Sven Schlarb, ONB
 
12.15 - 13.15 Lunch    
13.15 - 13.45 Content profiling and planning
Introduction and motivation of large-scale content profiling for preservation analysis
Petar Petrov, TUWIEN
5
13.45 - 14.15 Practical exercise: analysing an example scenario file set without a content profiler
Discussion of results
Petar Petrov, TUWIEN
6
14.15 - 14.45 c3po (A content profiling prototype) demonstration of the tool and its capabilities
   
14.45 - 15.15 Quality control for digital collections: the matchbox tool
Identifying duplicate images in digital collections
Roman Graf, AIT
15.15 - 15.30 Coffee    
15.30 - 16.30 Practical exercise: analysing the scenario file set using c3po
Comparing the results and lessons learned
Petar Petrov, TUWIEN
6
16.30 - 17.00 Wrap up discussion and event evaluation Dave Tarrant, OPF
 
17.00 Close    
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