Use and Re use of Scientific Data in Archaeology and Heritage - Part 1
Channel: SSH Open Cloud
Date: 2020-04-30

Part 1 of the half-day webinar jointly organised by SSHOC, SEADDA and E-RIHS, on Thursday 2nd April, from 12.00 to 16:30 CEST. Part 2 Here: https://youtu.be/z_YV-EnbQL0
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Webinar agenda and presentations available here: https://www.sshopencloud.eu/use-and-re-use-scientific-data-archaeology-and-heritage
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An opportunity to learn about novel policy and best practice around use and re-use of scientific data within the heritage science and archaeology contexts.

We presented the new heritage science data curation policy developed by E-RIHS and SEADDA, discussed practice challenges and shared best tools to support on data re-use. Participation (live) by invitation.

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Speakers
  
Holly Wright: Dr Wright is International Projects Manager for the Archaeology Data Service, including participation in the SEADDA, ArchAIDE, NEARCH, E-RIHS, ARIADNE, ARIADNEplus, LoCloud, CARARE, and SENESCHAL projects. Her research focuses on archaeological field drawing and the Semantic Web, including specialisation in visual documentation and communication, archaeological data management, the use of Web standards and the Semantic Web in archaeology. 

Jessica Hendy: Dr Hendy is Lecturer in Palaeoproteomics at the University of York. Her research focuses on the study of ancient proteins, and how these biomolecules can be used for understanding the past. She is interested in developing and applying proteomic methods to a diverse range of multidisciplinary projects, particularly in the study of past foods and diets. Her research seeks to characterise the culinary diversity of past societies, and in particular her research explores the antiquity and modern diversity of dairying practices, as well as food fermentation.

Scott Allan Orr: Dr Scott Allan Orr is a Lecturer in Heritage Data Science at the UCL Institute for Sustainable Heritage. He is the Deputy Course Director on the MSc in Data Science for Cultural Heritage, a programme pioneering a new way of teaching data science through application in a cross-disciplinary context. Scott’s research within heritage science uses data-driven methods to further understanding, improve management, and widen participation within the heritage sector. He primarily works on assessing climate impacts on buildings, the use of non-destructive tools, and incorporating value and perception into scientific evaluations.

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