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Event Evaluation Survey

Please complete the event evaluation survey at: http://www.surveymonkey.com/s/TCZHBTD

Aim

This training course will cover elements dealing with scalable identification, characterisation and validation of large collections of varying file types. Users will be introduced to a number of toolsdesigned for each of these purposes and involved in problem solving scenarios. Further, users will be required to evaluate the use of scalable and cloud based technologies in developing solutions for given scenarios.

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 (the agenda is subject to change)

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, fido, tika, exiftool
What can they do?
File Format Identification, File Format Characterisation,
File Format Validation, File Format Signature Files

Carl Wilson, OPF
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 
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
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    

Open Feedback - Day 1

  • Need to provide cheet sheets for each tool so people can choose their options and experiments they wish to run
  • The datasets need to be, unzipped in the virtual machines ready for instant use.
  • Need to focus a little closer on what data is output by the different tools for different formats.
  • Need to get to the quickscripts that use some of the tools in more complex ways to produce summaries in excel.
  • Need to put fits on the machines and allow people to look at a fits profile
  • The discussion at the end of the day was effective, a good result. 

Friday  7 December

Time Session Facilitator Learning outcomes
09.15 - 09.30 Welcome back, overview of agenda for the day Dave Tarrant, OPF  
09.30 - 10.15 Content profiling and planning  
Introduction and motivation of large-scale content profiling for preservation analysis
Petar Petrov, TUWIEN
5
10.15 - 10.45 Practical exercise: analysing an example scenario file set without a content profiler  
Discussion of results
Petar Petrov, TUWIEN
6
10.45 - 11.00 Coffee    
11.00 - 11.30 c3po (A content profiling prototype) demonstration of the tool and its capabilities
Petar Petrov, TUWIEN 6
11.30 - 12.00 Practical exercise: analysing the scenario file set using c3po  
Comparing the results and lessons learned
Petar Petrov, TUWIEN 6
12.00 - 12.30 Quality control for digital collections: the matchbox tool  
Identifying duplicate images in digital collections
Roman Graf, AIT 4
12.30 - 13.30 Lunch and presentation of certificates    
13.45 - 15.15 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
15.15 - 15.30 Coffee    
15.30 - 16.30 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
16.00 - 16.30 Comparison of results Sven Schlarb, ONB
 
16.30 - 17.00 Wrap up discussion and event evaluation Dave Tarrant, OPF
 
17.00 Close    

Open Feedback - Day 2

  • Need to make sure data is pre-loaded into VMs. Also the contents of data.zip didn't seem to hold any significance, e.g. documents, images etc
  • A recap was good, but needs to be more in line with day 1.
  • c3po needs a bit of work to ensure it is running and it is clear how to find a collection. 
  • The graphs and discussion on why the system is modular worked well. 
  • Perhaps matchbox does have a practical exercise, maybe something to add to the machine images for next time. 

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