GB1900:engaging the public in very large scale gazetteer construction from the Ordnance Survey 'County Series' 1:10,560 mapping of Great Britain
| Autor: | Michael Stoner, Humphrey Southall, Paula Aucott, Christopher Fleet, Tom Pert |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
History
InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Geography Planning and Development 0211 other engineering and technologies Library science 02 engineering and technology Library and Information Sciences Ordnance Survey 020204 information systems crowd-sourcing citizen science 0202 electrical engineering electronic engineering information engineering Citizen science 021101 geological & geomatics engineering Geography Great Britain Ordnance survey gazetteers Crowd sourcing 10 560 mapping [1] Scale (map) Cartography Environmental Sciences Theme (narrative) Meaning (linguistics) |
| Zdroj: | Southall, H, Aucott, P, Fleet, C, Pert, T & Stoner, M 2017, ' GB1900 : engaging the public in very large scale gazetteer construction from the Ordnance Survey “County Series” 1:10,560 mapping of Great Britain ', Journal of Map & Geography Libraries, vol. 13, no. 1, pp. 7-28 . https://doi.org/10.1080/15420353.2017.1307305 |
| DOI: | 10.1080/15420353.2017.1307305 |
| Popis: | “Semantic” gazetteers should form a geographical “backbone” to our knowledge of the past, but they need to contain toponyms appearing in specific sources, to be under open copyrights and to be large, representing all the features of interest. Academic gazetteer projects are achieving the first two goals but are generally either limited to main settlements or cover small areas. The GB1900 project is creating a new spinal gazetteer of Britain from the Ordnance Survey’s County Series 1:10,560 second edition mapping from circa 1900. It will be under Creative Commons licensing. To date, c. 1.7 million features have been identified, and the final result is likely to comprise 3-4 million text strings plus coordinates: possibly the largest specifically historical gazetteer ever built.This has been achieved through large-scale crowd-sourcing, using Zooniverse-based software. The article describes the project’s history, the software system and the transcription process. Over 1,000 volunteer transcribers have been recruited, and the article describes publicity methods, volunteer characteristics and motivation: it is argued that while “citizen science” projects appeal to a general desire to advance knowledge, map-based projects can appeal to more locally-focused individual interests: finding meaning in maps and places. We conclude with recommendations for other similar projects. |
| Databáze: | OpenAIRE |
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