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Arch sci symposium presentataion


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Arch sci symposium presentataion

  1. 1. Archaeoinformatics An information systems framework for archaeology Ahmad Alam Supervisor: Professor Andy Brass Co-Supervisor: Professor Robert Stevens Bio-Health Informatics Group
  2. 2. Is sharing information important? • Life sciences have shown the importance • Highlights data quality issues • Generates new avenues for research • Improves preservation
  3. 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. 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. 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. 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. 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. 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. 9. Mepr available on: (password:password) Q Methodology Contacts Me: The Professor: