A vision for Open Archaeology

Dados Bibliográficos

ID5086420
AutoresAnthony Beck (0000-0002-2991-811X, University of Leeds), Cameron Neylon (0000-0002-0068-716X, Research Complex at Harwell)
Ano2012
Volume44
Fascículo4
Páginas479-497
Data de publicação2012-12-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoWorld Archaeology (JOURNAL)
Identificadores do periódicoISSN: 0043-8243 • E-ISSN: 1470-1375
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00438243.2012.737581
OpenAlexW2133267362
IdiomaEN
Citações recebidas10
Referências citadas6

By unblocking knowledge bottle-necks and enhancing collaborative and creative input ‘open’ approaches have the potential to revolutionize science, humanities and arts. ‘Open’ has captured the Zeitgeist, but what is it all about? Is it about providing clear and transparent access to knowledge objects: data, theories and knowledge (open access, open data, open methods, open knowledge)? Is it about providing similar access to knowledge acquisition processes (open science)? Obviously it is; however, this is not the whole story. Open approaches require active engagement. This is not just engagement from the ‘usual suspects’ but engagement from a broader societal base. For example, primary data creators need the appropriate incentives to provide access to Open Data – these incentives will vary between different groups: contract archaeologists, curatorial archaeologists and research archaeologists all have different drivers. Equally important is that open approaches raise a number of issues about data access and downstream data reuse. This paper will discuss these issues in relation to the current situation in the UK and in the context of the DART project: an Open Science research project

Archaeology · Context (archaeology · Data science · Database · Incentive · Knowledge management · Open data · Open Science · Relation (database · Reuse · Sociology · World Wide Web · Computer Science · Data Visualization and Analytics · Engineering · History · Mobile Crowdsensing and Crowdsourcing · Research Data Management Practices