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Unleashing the potential of collaboration – archaeological detection in the 21st Century
The document discusses the dynamic process of archaeological knowledge acquisition and the importance of integrating various data sources, such as excavation records and specialist reports, to enhance research and policy outcomes. It highlights issues surrounding siloed data and advocates for open data initiatives to improve decision-making. The presentation also suggests envisioning an open archaeology map to facilitate better collaboration and knowledge sharing.
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Unleashing the potential of collaboration – archaeological detection in the 21st Century
- 2. Housekeeping – updatethis • Presentation is available on: – Slideshare:
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- 9. Theories structure thisevidence
- 19. The past isa foreign place • Archaeological knowledge acquisition is a dynamic process • Dynamic feedback allows theories/practice to be tested or revised Interpretation Synthesis
- 20. • Primary data –Excavation records – Remote sensing transcriptions – NMP – Lab Analysis – Specialist reports • Decoupled synthetic data – Site reports – SMR – NMR
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- 24. Implications of silo-eddata • No synergy • Cripples the knowledge frameworks • Less effective – Research – Impact – Policy – Engagement Interpretation Synthesis X
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- 33. Make better decisionbased on the best available evidence.Make better decision based on the best available evidence. >K2 <U2 Known knowns Known unknowns Unknown unknowns
- 34.
- 35. Open contributions Think ofan Open Archaeology Map!
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- 44. Open processing -SaaS http://www.earthlook.org/demos/demo_items/wcps.php
- 66. What is theimpact on detection
- 70. Where do wewant to be?
- 72. Think provision notpossession
Editor's Notes
- #6 Understand complex relationships in the fragmented archaeological record Archaeology as human ecology
- #21 Data Rich Data Archiving - Building the silo
- #22 Formal structures inhibit collaboration and access Informal networks established to make the data work effectively
- #23 Additional drops of data/evidence does not affect the structure of the knowledge landscape
- #34 The nature of knowledge From a policy perspective there are different levels of knowledge awareness know what we know (the data we have access to) know there are things we don't know (the relevant data which is not accessible) and recognise there are things that we are unaware of which may be extremely important (the potential knowledge advances gained by integrating all data, collaborating with different domains and future research avenues). Ideally we want to increase the size of the accessible knowledge so that policy can be formed from a position of ‘perfect’, or ‘near-perfect’, knowledge.
- #72 Formal structures inhibit collaboration and access Informal networks established to make the data work effectively