dc.creatorArancio, Julieta
dc.creatorVelis, Emilio
dc.creatorTorres, Diego
dc.date2022
dc.date.accessioned2023-08-31T00:53:03Z
dc.date.available2023-08-31T00:53:03Z
dc.identifierhttps://digital.cic.gba.gob.ar/handle/11746/11695
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8543933
dc.descriptionChallenge competitions have recently resurged for promoting open innovation in areas where markets fail to provide incentives, such as the Sustainable Development Goals (SDGs). Challenges call for the general public to contribute novel solutions to a well-defined problem, in exchange for prizes, credentials and the promise of further development of selected solutions. The aim of this paper is to report on the development of an open and collaborative data model to document and evaluate innovations in the context of a challenge competition, while also being compatible with the work of other open source communities to validate and improve them. By reusing open documentation standards and embedding them into a semantic collaborative platform, the model aimed to be flexible enough to respond to the evaluation needs of the project organisers and self-assessment for participants. We expect our experience provides insights on the potential of semantic, collaborative platforms and standards for increasing the impact of innovations towards the SDGs.
dc.formatapplication/pdf
dc.format81-93
dc.languageInglés
dc.relationISSN: 1726-6629
dc.relationDOI: 10.22163/fteval.2022.574
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.subjectCiencias de la Computación e Información
dc.subjectInnovation prizes
dc.subjectSurgery
dc.subjectRemote learning
dc.subjectCollaboration
dc.subjectOpen source
dc.titleDocumenting and assessing open innovation: co-creation of an open data model for surgical training


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