The commercialisation of public data - how does participatory data-mining look on a global scale?

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The commercialisation of public data - how does participatory data-mining look on a global scale?

Popis výsledku v původním jazyce

The commercialisation of local spatial knowledge is an emerging problem across communities all around the world. Users creating spatial and attributive data through the use of commercial tools such as Google Map Maker, are extending corporate databases,but aren't able to use the very same data when they need to. Open-source and participatory mapping projects such as OpenStreetMap are designed to support community empowerment and to ensure that high quality bias-free data are available to everyone regardless of their origin, social status and position within the power structure. In this article, I will point out the danger of commercialisation of public data, with an example of its possible misuse in the international environment and I will show the advantages of participatory datamining, using as an example the OpenStreetMap project in Kibera slum, Nairobi.

Název v anglickém jazyce

The commercialisation of public data - how does participatory data-mining look on a global scale?

Popis výsledku anglicky

The commercialisation of local spatial knowledge is an emerging problem across communities all around the world. Users creating spatial and attributive data through the use of commercial tools such as Google Map Maker, are extending corporate databases,but aren't able to use the very same data when they need to. Open-source and participatory mapping projects such as OpenStreetMap are designed to support community empowerment and to ensure that high quality bias-free data are available to everyone regardless of their origin, social status and position within the power structure. In this article, I will point out the danger of commercialisation of public data, with an example of its possible misuse in the international environment and I will show the advantages of participatory datamining, using as an example the OpenStreetMap project in Kibera slum, Nairobi.

Druh

D - Stať ve sborníku

CEP obor

DE - Zemský magnetismus, geodesie, geografie

OECD FORD obor

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Projekt

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Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

GISSA Ukubuzana 2012

ISBN

978-0-620-52913-6

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

78-87

Název nakladatele

Geo-Information Society of South Africa

Místo vydání

Johannesburg

Místo konání akce

Johannesburg

Datum konání akce

2. 10. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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