Arch sci symposium presentataion

Ahmad Alam
Ahmad AlamGraduate Teaching Assistant
Archaeoinformatics
An information systems framework for
archaeology

Ahmad Alam
Supervisor: Professor Andy Brass
Co-Supervisor: Professor Robert Stevens

Bio-Health Informatics Group
Is sharing information important?
•

Life sciences have shown the importance

•

Highlights data quality issues

•

Generates new avenues for research

•

Improves preservation
Archaeological data “Big Bang”
Dig Site

Metals
Expert

Mummy
Pathologist

Pottery
Specialist

Linguistics
expert
Stakeholders

Museums

Public Sector/
Local government

Researchers

Just like the expansion of the Universe,
everything moving further away
Mummies On Rails
A system for recoding mummy data using a modern
development framework.
Ahmad Alam, Ian Dunlop, Robert Stevens, Andrew Brass
(Comp. Sci.)
Jenefer Cockitt, Rosalie David, Ryan Metcalfe (KNH)
Bio-Health Informatics Group

Result? No publication
•

Permission was needed from the record set holder

•

Author had retired; difficult to work out who can
give permission to use it.
Non-functional requirement had been missed
Functional Requirements

Non-Functional Requirements

•
•
•
•

•
•
•
•
•
•

Extensive standards
Ontologies
Web 2.0
Tried and tested
methods
• Effective
• Working technologies

Governance
Organisational Structures
Maintainability
Longevity
Ease of use
Capture very difficult

Issues and Problems
Issues and Problems
• Usually Rectifiable

• Can be catastrophic, i.e.
non adoption of a system
• User hostility
• Un-Implementable
Q Methodology
•

Proven to work through numerous studies, especially
attitudinal studies in life sciences

•

Allows for qualitative analysis that can be analysed
quantitatively : Factor Analysis
Application of Q Methodology: The Concourse
Semi structured interviews with archaeologists from
contrasting archaeological communities:•
•

Forensic Egyptologists - KNH
Industrial Archaeologist – University of Salford

Preliminary findings
•

No such things an archaeological ‘community’ with
regards to data sharing

•

One sees governance and ownership as a major barrier
to sharing the other has to share but has quality issues
What’s next?
• Q Sort volunteers needed
• 30 minutes of card sorting
• The more merrier

• Apply results to make useful tools for
archaeological data sharing
• Resultant research to help formal requirements
analysis in computing sciences for ‘nonfunctional’ requirements
Mepr available on:http://mepr.herokuapp.com/admin/login
admin@example.com (password:password)
Q Methodology http://qmethod.org

Contacts
Me:
ahmad.alam@manchester.ac.uk
The Professor:
andy.brass@manchester.ac.uk
1 of 9

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Arch sci symposium presentataion

  • 1. Archaeoinformatics An information systems framework for archaeology Ahmad Alam Supervisor: Professor Andy Brass Co-Supervisor: Professor Robert Stevens Bio-Health Informatics Group
  • 2. Is sharing information important? • Life sciences have shown the importance • Highlights data quality issues • Generates new avenues for research • Improves preservation
  • 3. Archaeological data “Big Bang” Dig Site Metals Expert Mummy Pathologist Pottery Specialist Linguistics expert Stakeholders Museums Public Sector/ Local government Researchers Just like the expansion of the Universe, everything moving further away
  • 4. Mummies On Rails A system for recoding mummy data using a modern development framework. Ahmad Alam, Ian Dunlop, Robert Stevens, Andrew Brass (Comp. Sci.) Jenefer Cockitt, Rosalie David, Ryan Metcalfe (KNH) Bio-Health Informatics Group Result? No publication • Permission was needed from the record set holder • Author had retired; difficult to work out who can give permission to use it.
  • 5. Non-functional requirement had been missed Functional Requirements Non-Functional Requirements • • • • • • • • • • Extensive standards Ontologies Web 2.0 Tried and tested methods • Effective • Working technologies Governance Organisational Structures Maintainability Longevity Ease of use Capture very difficult Issues and Problems Issues and Problems • Usually Rectifiable • Can be catastrophic, i.e. non adoption of a system • User hostility • Un-Implementable
  • 6. Q Methodology • Proven to work through numerous studies, especially attitudinal studies in life sciences • Allows for qualitative analysis that can be analysed quantitatively : Factor Analysis
  • 7. Application of Q Methodology: The Concourse Semi structured interviews with archaeologists from contrasting archaeological communities:• • Forensic Egyptologists - KNH Industrial Archaeologist – University of Salford Preliminary findings • No such things an archaeological ‘community’ with regards to data sharing • One sees governance and ownership as a major barrier to sharing the other has to share but has quality issues
  • 8. What’s next? • Q Sort volunteers needed • 30 minutes of card sorting • The more merrier • Apply results to make useful tools for archaeological data sharing • Resultant research to help formal requirements analysis in computing sciences for ‘nonfunctional’ requirements
  • 9. Mepr available on:http://mepr.herokuapp.com/admin/login admin@example.com (password:password) Q Methodology http://qmethod.org Contacts Me: ahmad.alam@manchester.ac.uk The Professor: andy.brass@manchester.ac.uk