{panel} *Title of the session:* Characterisation components {panel}
{panel}{*}Topic/Aim(s) of the session: *{panel}
{panel} *Learning Outcomes (by the end of the session the attendees will be able to): *
* {color:#993300}{_}Distinguish{_}{color} between different file types and identify the requirements for characterizing each.
* {color:#993300}{_}Carry out{_}{color} a number of identification and characterisation experiments on a number of example files.
* {color:#993300}{_}Critically evaluate{_}{color} a number of characterisation tools and advantages and disadvantages in different scenarios.
* {color:#993300}{_}Compare and contrast{_}{color} the differences in running a number of characterisation tools both stand-alone and within taverna workflows.
* {color:#993300}{_}Conduct in-depth analysis{_}{color} {color:#000000}over large volumes of identification & characterisation data and find representative sample records for planning experiments {color}{panel}
{tip}{_}The intended learning outcomes should outline:_
_• Knowledge and understanding_
_• Intellectual skills_
_• Practical skills_
_• Transferable skills_
{color:#993300}{*}_(Refer to Appendix A, Bloom's Taxonomy, in the training plan for the verbs to support the learning outcomes)_{*}{color}{tip}
h4. Session One:
|| Time || Outline Plan/Teacher Activity || Attendee Activity || Resources || Speakers/Trainers ||
| 09.30 - 11.30 | Introduce File Formats - Image/doc/multimedia and the tools to process these | Basic identification experiments \\
(running tools on sample files) \\ | Access to machine running all required tools. \\ | |
\\
h4. Session Two:
|| Time || Outline Plan/Teacher Activity || Attendee Activity || Resources || Speakers/Trainers ||
| 09.30 - 11.30 | {color:#000000}Discuss application of different tools to various situations{color}\\ | {color:#000000}Synthesize a plan to help with a pre-defined scenario (group work, presented back){color} \\ | {color:#000000}Scenario documents{color} \\ | |
\\
h4. Session Three:
|| Time || Outline Plan/Teacher Activity || Attendee Activity || Resources || Speakers/Trainers ||
| 09.30 - 11.30 | {color:#000000}Introduce Taverna{color}\\ | Listen and take notes | {color:#000000}Taverna system{color} \\ | |
\\
h4. Session Four:
|| Time || Outline Plan/Teacher Activity || Attendee Activity || Resources || Speakers/Trainers ||
| 09.30 - 11.30 | {color:#000000}Apply scenario solution to taverna{color}\\ | {color:#000000}Group work (part 2){color} \\ | \\ | |
\\
h4. Session Five:
|| Time || Outline Plan/Teacher Activity || Attendee Activity || Resources || Speakers/Trainers ||
| 09.30 - 11.30 | {color:#000000}Present solution and evaluate what could be done differently{color}\\ | {color:#000000}Discussion{color} \\ | \\ | |
\\
h4. Session Six:
|| Time || Outline Plan/Teacher Activity || Attendee Activity || Resources || Speakers/Trainers ||
| 09.30 - 11.30 | {color:#000000}Assessment (discussion) against learning outcomes{color}\\ | {color:#000000}Discussion{color} | Feedback forms | |
h4. Session Seven:
|| Time || Outline Plan/Teacher Activity || Attendee Activity || Resources || Speakers/Trainers ||
| 09.30 - 10.00 | Introduction and motivation of large-scale content profiling for preservation analysis | | Beamer | Petar Petrov |
| 10.00 - 10.15 | Scenario (set files (identification + characterisation data) e.g. govdocs1, webarchive, etc.) | Make familiar with content set | VM with files (e.g. part of govdocs) + characterisation tools + FITS | ~ |
| 10.15 - 10.45 | Analysis without content profiler | Obtain overview of the content and \\
find representative samples | VM with files (e.g. part of govdocs) + characterisation tools + FITS | \~ |
| 10.45 - 11.00 | Discussion | Discussion | Beamer, Flipchart/Whiteboard? | \~ |
| 11.00 - 11.30 | c3po (content profiler) + Demo | | Beamer/WiFi | \~ |
| 11.30 - 12.00 | analysis of the same data as before (with c3po) | Obtain overview of the content and \\
find representative samples \\ | VM with files (e.g. part of govdocs) + characterisation tools + FITS + WiFI | \~ |
| 12.00 - 12.30 | Discussion + Lessons Learned | | Beamer | \~ |
{panel}{*}Topic/Aim(s) of the session: *{panel}
{panel} *Learning Outcomes (by the end of the session the attendees will be able to): *
* {color:#993300}{_}Distinguish{_}{color} between different file types and identify the requirements for characterizing each.
* {color:#993300}{_}Carry out{_}{color} a number of identification and characterisation experiments on a number of example files.
* {color:#993300}{_}Critically evaluate{_}{color} a number of characterisation tools and advantages and disadvantages in different scenarios.
* {color:#993300}{_}Compare and contrast{_}{color} the differences in running a number of characterisation tools both stand-alone and within taverna workflows.
* {color:#993300}{_}Conduct in-depth analysis{_}{color} {color:#000000}over large volumes of identification & characterisation data and find representative sample records for planning experiments {color}{panel}
{tip}{_}The intended learning outcomes should outline:_
_• Knowledge and understanding_
_• Intellectual skills_
_• Practical skills_
_• Transferable skills_
{color:#993300}{*}_(Refer to Appendix A, Bloom's Taxonomy, in the training plan for the verbs to support the learning outcomes)_{*}{color}{tip}
h4. Session One:
|| Time || Outline Plan/Teacher Activity || Attendee Activity || Resources || Speakers/Trainers ||
| 09.30 - 11.30 | Introduce File Formats - Image/doc/multimedia and the tools to process these | Basic identification experiments \\
(running tools on sample files) \\ | Access to machine running all required tools. \\ | |
\\
h4. Session Two:
|| Time || Outline Plan/Teacher Activity || Attendee Activity || Resources || Speakers/Trainers ||
| 09.30 - 11.30 | {color:#000000}Discuss application of different tools to various situations{color}\\ | {color:#000000}Synthesize a plan to help with a pre-defined scenario (group work, presented back){color} \\ | {color:#000000}Scenario documents{color} \\ | |
\\
h4. Session Three:
|| Time || Outline Plan/Teacher Activity || Attendee Activity || Resources || Speakers/Trainers ||
| 09.30 - 11.30 | {color:#000000}Introduce Taverna{color}\\ | Listen and take notes | {color:#000000}Taverna system{color} \\ | |
\\
h4. Session Four:
|| Time || Outline Plan/Teacher Activity || Attendee Activity || Resources || Speakers/Trainers ||
| 09.30 - 11.30 | {color:#000000}Apply scenario solution to taverna{color}\\ | {color:#000000}Group work (part 2){color} \\ | \\ | |
\\
h4. Session Five:
|| Time || Outline Plan/Teacher Activity || Attendee Activity || Resources || Speakers/Trainers ||
| 09.30 - 11.30 | {color:#000000}Present solution and evaluate what could be done differently{color}\\ | {color:#000000}Discussion{color} \\ | \\ | |
\\
h4. Session Six:
|| Time || Outline Plan/Teacher Activity || Attendee Activity || Resources || Speakers/Trainers ||
| 09.30 - 11.30 | {color:#000000}Assessment (discussion) against learning outcomes{color}\\ | {color:#000000}Discussion{color} | Feedback forms | |
h4. Session Seven:
|| Time || Outline Plan/Teacher Activity || Attendee Activity || Resources || Speakers/Trainers ||
| 09.30 - 10.00 | Introduction and motivation of large-scale content profiling for preservation analysis | | Beamer | Petar Petrov |
| 10.00 - 10.15 | Scenario (set files (identification + characterisation data) e.g. govdocs1, webarchive, etc.) | Make familiar with content set | VM with files (e.g. part of govdocs) + characterisation tools + FITS | ~ |
| 10.15 - 10.45 | Analysis without content profiler | Obtain overview of the content and \\
find representative samples | VM with files (e.g. part of govdocs) + characterisation tools + FITS | \~ |
| 10.45 - 11.00 | Discussion | Discussion | Beamer, Flipchart/Whiteboard? | \~ |
| 11.00 - 11.30 | c3po (content profiler) + Demo | | Beamer/WiFi | \~ |
| 11.30 - 12.00 | analysis of the same data as before (with c3po) | Obtain overview of the content and \\
find representative samples \\ | VM with files (e.g. part of govdocs) + characterisation tools + FITS + WiFI | \~ |
| 12.00 - 12.30 | Discussion + Lessons Learned | | Beamer | \~ |