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Crowdsourcing and digitization

Identifieur interne : 000033 ( France/Analysis ); précédent : 000032; suivant : 000034

Crowdsourcing and digitization

Auteurs : Mathieu Andro [France]

Source :

RBID : Hal:hal-00978378

English descriptors

Abstract

Humans spend more and more time on the Internet. With the Web 2.0, they are now able to actively contribute to the development of content rather than be passive consumers. For their part, libraries have fewer resources to do the work necessary to complete their projects. So, they could outsource to the crowd of web users, tasks that cannot be executed automatically by programs and algorithms, instead outsource some of their tasks to providers using the workforce in low-cost countries. The online crowd includes specialists in all domains and individuals likely to engage for reasons as diverse as personal development, entertainment, game, self-promotion or altruism. These persons may respond to libraries calls for participation. Libraries serve common goods, have a good reputation, and have a volunteer tradition. They might get work, skills, knowledge, creativity and money and so, contribute to the digitization projects development for selection of materials for digitization, scanning, OCR correction, cataloging and tagging. They could even fulfill objectives it would have been impossible to imagine and achieve before. Some experiments of crowdsourcing and crowdfunding (like Numalire) at the National Institute for Agricultural Research (INRA) will be presented.

Url:


Affiliations:


Links toward previous steps (curation, corpus...)


Links to Exploration step

Hal:hal-00978378

Le document en format XML

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Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/France/Analysis
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000033 | SxmlIndent | more

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HfdSelect -h $EXPLOR_AREA/Data/France/Analysis/biblio.hfd -nk 000033 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    OcrV1
   |flux=    France
   |étape=   Analysis
   |type=    RBID
   |clé=     Hal:hal-00978378
   |texte=   Crowdsourcing and digitization
}}

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Data generation: Sat Nov 11 16:53:45 2017. Site generation: Mon Mar 11 23:15:16 2024