Cómo Promover la Colaboración en Plataformas de Datos Abiertos?
DOI:
https://doi.org/10.5007/2175-8077.2024.e76382Palabras clave:
Datos abiertos, Colaboración, Plataforma de datos abiertosResumen
Objetivo: Identificar y explorar elementos colaborativos en datos abiertos gubernamentales, con enfoque en plataformas de datos abiertos.
Metodología/enfoque: Se realizó una investigación exploratoria, cualitativa y bibliográfica en las bases de datos Scopus, SienceDirect, Web of Science, Scielo, ACM, Proquest e IEEE con el objetivo de identificar estudios que contemplen el desarrollo de datos de gobierno abierto a través de la colaboración. Además, también se realizó un análisis de benchmarking en 32 plataformas interactivas para identificar mejores prácticas y funcionalidades en materia de colaboración.
Originalidad/relevancia: Los datos gubernamentales abiertos pueden considerarse una innovación importante e influyente que tiene el potencial de impulsar la creación de valor público. Aunque muchos países mantienen portales de datos gubernamentales abiertos, los elementos colaborativos de los portales son limitados.
Principales resultados: Los resultados revelaron 25 elementos colaborativos que pueden ampliar el potencial colaborativo del entorno de datos de gobierno abierto. Estos elementos han demostrado contribuir sustancialmente a un enfoque más colaborativo y eficiente, proporcionando acceso universal y fortaleciendo el uso de datos abiertos para diversos fines, alineados con la promoción de la transparencia y la rendición de cuentas en múltiples sectores.
Contribuciones teóricas: La investigación contribuye resaltando la necesidad de profundizar el estudio de la colaboración en datos abiertos, proponiendo nuevos enfoques para desarrollar ecosistemas más integradores y colaborativos.
Contribución a la gestión: Este trabajo resalta la importancia de buscar colaboración en plataformas de datos abiertos gubernamentales, contribuyendo a lograr mayor transparencia, efectividad e innovación en el uso de datos.
Citas
Adamou, A., Brown, S., Barlow, H., Allocca, C., & d’Aquin, M. (2019). Crowdsourcing Linked Data on listening experiences through reuse and enhancement of library data. International Journal on Digital Libraries.
Aguilera, U., López-de-Ipiña, D., & Pérez, J. 2016. “Collaboration-Centered Cities through Urban Apps based on Open and User-Generated Data”, Sensors.
Alani, H., Chandler, P., Hall, W., O'hara, K., Shadbolt, N., and Szomszor, M. 2008. “Building a Pragmatic Semantic Web”, IEEE Intelligent Systems.
Albano, C. S., & Júnior, W. L. (2019). Condições para coprodução e inovação aberta: um estudo no ecossistema brasileiro de dados governamentais abertos. Ciências da Administração.
Albano, C. S., & Leaes Júnior, W. 2019. “Condições para coprodução e inovação aberta: um estudo no ecossistema brasileiro de dados governamentais abertos”. Revista de Ciências da Administração.
Alexopoulos, C., Spiliotopoulou, L. &Charalabidis, Y. 2013. "Open Data Movement in Greece: a Case Study on Open Government Data Sources", Proceedings of the 17th Panhellenic Conference on Informatics, Thessaloniki, Greece. New York, NY: Association for Computing Machinery.
Almendros-Jiménez, J. M., Becerra-Terón, A., & Torres, M. (2019). Integrating and querying OpenStreetMap and linked geo open data. The Computer Journal.
Arsenopoulos, A., Mastromichalakis, N., & Psarras, J. (2020, July). Developing a software-based platform for strengthening public participation in Greece. In 2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA (pp. 1-6). IEEE.
Barcellos, R., Bernardini, F., & Viterbo, J. (2022). Towards defining data interpretability in open data portals: Challenges and research opportunities. Information systems, 106, 101961.
Barni, G. A. C. 2017. “Valor e Visibilidade em Dados Governamentais Abertos: o Cenário Brasileiro a partir do Desenvolvimento de um Construto”, Doctoral dissertation, Florianópolis: Universidade do Estado de Santa Catarina.
Bernardo, W. M., Nobre, M. R. C., and Janete, F. B. 2004. “Prática Clínica Baseada em Evidência: Parte II - Buscando as Evidências em Fontes de Informação, Rev. Assoc. Med. Bras. (50:1). (http://www.scielo.br/pdf/ramb/v50n1/a45v50n1.pdf)
Biswas, R. (2020). Embedding based link prediction for knowledge graph completion. In Proceedings of the 29th ACM international conference on information & knowledge management.
Boytcheva, S., Angelova, G., Angelov, Z., Tcharaktchiev, D., & Vodenicharov, V. (2019). Enrichment of EHR with linked open data for risk factors identification. In Proceedings of the 20th International Conference on Computer Systems and Technologies.
Bravo, J. V. M., and Sluter, C. R. 2018. “O Mapeamento Colaborativo: seu Surgimento, suas Características e o Funcionamento das Plataformas”, Revista Brasileira de Geografia Física.
Brovelli, M. A., Celino, I., Fiano, A., Molinari, M. E., and Venkatachalam, V. 2018. “A Crowdsourcing-based Game for Land Cover Validation”, Applied Geomatics .
Burégio, V., Brito, K., Rosa, N., Neto, M., Garcia, V., & Meira, S. 2015. “Towards Government as a Social Machine”. Proceedings of the 24th International Conference on World Wide Web. Florence, Italy. New York, NY: Association for Computing Machinery.
Cáceres, P., Sierra-Alonso, A., Cuesta, C. E., & Vela, B. (2020). Improving urban mobility by defining a smart data integration platform. IEEE.
Camilo, S. P. O., Manenti, R. V. A., & Yamaguchi, C. K. (2018). Práticas de governança pública municipal: análise informacional dos sítios eletrônicos em portais de transparência. Revista de Ciências da Administração.
Chan, C. M. 2013. “From Open Data to Open Innovation Strategies: Creating E-Services using Open Government Data”. Proceedings of the 46th Hawaii International Conference on System Sciences. Washington, DC: IEEE Computer Society.
Charalabidis, Y., Loukis, E. and Alexopoulos, C. 2014. "Evaluating Second Generation Open Government Data Infrastructures Using Value Models", Proceedings of the 47th Hawaii International Conference on System Sciences, Washington, DC: IEEE Computer Society.
Chen, L., Ali Babar, M., and Zhang, H. 2010. “Towards Evidence-Based Understanding of Electronic Data Sources”, Proceedings of the 14th International Conference on Evaluation and Assessment in Software Engineering (EASE). Keele, UK. London: British Computer Society.
Chokki, A. P., & Vanderose, B. (2023). From Conventional Open Government Data Portals to Storytelling Portals: The StoryOGD Prototype. In Proceedings of the 24th Annual International Conference on Digital Government Research.
Chua, U. C., Santiago, K. L., Ona, I. B. M., Peña, R. M. N., Marasigan, G. Z. S., Reyes, P. G. A. D., & Samson, B. P. V. (2020). From Access to Effective Use: Open Data Portals for Everyday Citizens. In Proceedings of the 2020 Symposium on Emerging Research from Asia and on Asian Contexts and Cultures.
Coladangelo, L. P., Thomson, E., & Ransom, L. (2023). Leveraging the Power of Crowdsourcing and Linked Open Data: Transformation of the Schoenberg Database of Manuscripts and the SDBM Name and Place Authorities. Journal of Library Metadata.
Collazo-Reyes, F., Luna-Morales, M. E., and Luna-Morales, E. 2017. “Change in the Publishing Regime in Latin America: from a Local to Universal Journal, Archivos de Investigación Médica/Archives of Medical Research (1970–2014)”, Scientometrics (110:2).
Concilio, G., Molinari, F., and Morelli, N. 2017. “Empowering Citizens with Open Data by Urban Hackathons”. Proceedings of the 2017 Conference for E-Democracy and Open Government (CeDEM) (pp. 125-134). Washington, DC: IEEE Computer Society.
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior [Capes] 2018. Portal de Periódicos. http://www.periodicos.capes.gov.br
Cordasco, G., De Donato, R., Malandrino, D., Palmieri, G., Petta, A., Pirozzi, D., Santangelo, G., Scarano, V., Serra, L., Spagnuolo, C., and Vicidomini, L. 2017. Engaging citizens with a social platform for open data. In Proceedings of the 18th Annual International Conference on Digital Government Research. Staten Island, New York (pp. 242-249). New York, NY: Association for Computing Machinery (http://hdl.handle.net/11591/377468)
Cordasco, G., Malandrino, D., Pirozzi, D., Scarano, V., and Spagnuolo, C. 2018. A Layered Architecture for Open Data: design, implementation and experiences. In Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance. Galway, Ireland (pp. 371-381). New York, NY: Association for Computing Machinery.
Costa, A. F. D., D'Addio, R. M., Fressato, E. P., & Manzato, M. G. (2019). A personalized clustering-based approach using open linked data for search space reduction in recommender systems. In Proceedings of the 25th Brazillian Symposium on Multimedia and the Web.
Daquino, M., Wigham, M., Daga, E., Giagnolini, L., & Tomasi, F. (2023). Clef. a linked open data native system for crowdsourcing. Acm Journal on computing and cultural heritage.
Drew, D., Nguyen, L., Steves, C., Wolf, J., Spector, T., & Chan, A. (2020). Rapid implementation of mobile technology for real-time epidemiology of COVID-19. Science (New York, N.y.), 368, 1362 - 1367. https://doi.org/10.1126/science.abc0473.
Duc, K., Vu, T., & Ban, Y. (2014). Ushahidi and Sahana Eden Open-Source Platforms to Assist Disaster Relief: Geospatial Components and Capabilities. https://doi.org/10.1007/978-3-319-03644-1_12.
Faria, H. A. 2014. “Por Onde Vamos? O Engajamento, a Colaboração e o Crowdsourcing no Aplicativo Waze”, Bachelor Thesis, Brasília: Universidade de Brasília.
Frey, J., & Hellmann, S. (2021). Fair linked data-towards a linked data backbone for users and machines. In Companion Proceedings of the Web Conference.
Garcia Saez, C. (2022). Improving open data quality through citizen engagement and data engineering. In Proceedings of the 18th International Symposium on Open Collaboration.
Gascó-Hernández, M., Martin, E. G., Reggi, L., Pyo, S., and Luna-Reyes, L. F. 2018. “Promoting the Use of Open Government Data: Cases of Training and Engagement”. Government Information Quarterly (35:2), pp. 233-242.
Gougousis, A., & Bailly, N. (2016). LifeWatchGreece Portal development: architecture, implementation and challenges for a biodiversity research e-infrastructure. Biodiversity Data Journal. https://doi.org/10.3897/BDJ.4.e9434.
Handler, R. A., and Conill, R. F. 2016. “Open Data, Crowdsourcing and Game Mechanics. A Case Study on Civic Participation in the Digital Age”. Computer Supported Cooperative Work (CSCW) (25:2-3), pp. 153-166.
Hivon, J., and Titah, R. 2017. “Conceptualizing Citizen Participation in Open Data Use at the City Level”. Transforming Government: People, Process and Policy (11:1), pp. 99-118.
Jackson, V., Hoek, A., Prikladnicki, R., & Ebert, C. (2022). Collaboration Tools for Developers. IEEE Software, 39, 7-15. https://doi.org/10.1109/ms.2021.3132137.
Janssen, M., Charalabidis, Y. and Zuiderwijk, A. 2012. “Benefits, Adoption Barriers and Myths of Open Data and Open Government”, Information Systems Management (29:4), pp. 258-268.
Johansson, D., Lassinantti, J., and Wiberg, M. 2015. “Mobile e-services and open data in e-government processes: transforming citizen involvement”. Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services, Brussels, BE. New York, NY: Association for Computing Machinery.
Kassen, M. 2018. Adopting and Managing Open Data: Stakeholder Perspectives, Challenges and Policy Recommendations. Aslib Journal of Information Management (70:5), pp. 518-537.
Kitsios, F., & Kamariotou, M. (2023). Digital innovation and entrepreneurship transformation through open data hackathons: Design strategies for successful start-up settings. International Journal of Information Management.
Komninos, A. 2019. “Pro-social Behaviour in Crowdsourcing Systems: Experiences from a Field Deployment for Beach Monitoring”. International Journal of Human-Computer Studies.
Kučera, J., Chlapek, D., and Nečaský, M. 2013. “Open Government Data Catalogs: Current Approaches and Quality Perspective”. In Technology-Enabled Innovation for Democracy, Government and Governance, EGOVIS/EDEM 2013. Lecture Notes in Computer Science, 8061 (pp. 152–166). Berlin: Springer.
Laboratório de Pesquisa em Engenharia de Software [Lapes] 2019. “StArt (State of the Art through Systematic Review)” (http://lapes.dc. ufscar.br/tools/start_tool)
Liu, C., Usta, A., Zhao, J., & Salihoglu, S. (2023). Governor: Turning open government data portals into interactive databases. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Lungati, A. O. (2022). Data sharing and information platforms in crisis response and preparedness: exploring the role of open data sharing platforms and collective intelligence in COVID-19 Response Efforts, and Preparedness for Future Pandemics. Digital Government: Research and Practice.
McArdle, G. and Kitchin, R. 2016. “Improving the Veracity of Open and Real-time Urban Data”. Built Environment.
Molli, P., Breslin, J. G., and Vidal, M. E. 2016. “Challenges for semantically driven collaborative spaces”. In P. Molli, J. G. Breslin, and M. E. Vidal (eds.) Semantic Web Collaborative Spaces.
Neves, C. M. 2014. “Fenômeno Colaborativo nas Organizações: o Crowdsourcing nas Atividades do Profissional de Relações Públicas”, Bachelor Thesis, Curitiba, PR: Universidade Federal do Paraná.
Nikiforov, A., and Singireja, A. 2016. “Open Data and Crowdsourcing Perspectives for Smart City in the United States and Russia”. Proceedings of the International Conference on Electronic Governance and Open Society: Challenges in Eurasia. New York, NY: Association for Computing Machinery.
Ohemeng, F. L., and Ofosu-Adarkwa, K. 2015. “One Way Traffic: The Open Data Initiative Project and the Need for an effective demand side initiative in Ghana”. Government Information Quarterly.
Open Government Partnership [OGP], 2019. “OGP Participation & Co-creation Standards”. (https://www.opengovpartnership.org/ogp-participation-co-creation-standards, accessed November 15, 2019).
Perkmann, M., and Schildt, H. 2015. “Open Data Partnerships between Firms and Universities: The Role of Boundary Organizations”. Research Policy.
Purwanto, A., Zuiderwijk, A., & Janssen, M. (2020). Citizens’ trust in open government data: a quantitative study about the effects of data quality, system quality and service quality. In The 21st annual international conference on digital government research (pp. 310-318).
Reggi, L., and Dawes, S. 2016. “Open Government Data Ecosystems: Linking Transparency for Innovation with Transparency for Participation and Accountability”. Proceedings of the International Conference on Electronic Government - EGOV 2016, Guimarães, Portugal (pp. 74-86). Berlin: Springer.
Repasky, B., Payne, T., & Dick, A. (2020). Automatic assessment of open street maps database quality using aerial imagery. In 2020 Digital Image Computing: Techniques and Applications.
Roy, J. 2014. “Open data and open governance in Canada: A critical examination of new opportunities and old tensions”. Future Internet.
Ruijer, E., and Meijer, A. 2019. “Open Government Data as an Innovation Process: Lessons from a Living Lab Experiment”. Public Performance & Management Review.
Sayogo, D. S., and Yuli, S. B. C. 2018. “Critical Success Factors of Open Government and Open Data at Local Government Level in Indonesia”. International Journal of Electronic Government Research.
Scarano, V., Cordasco, G., Lettieri, N., Malandrino, D., Manno, I., Palmieri, G., Petta, A., Pirozzi, D., Rizzolo, D., Serra, L., Spagnuolo, C., and Vicidomini, L. 2015. “Fostering Transparency and Participation in the Data-based Society: a Sustainable Architecture for a Social Platform for Open Data. E-Challenges e-Conference 2015, Vilnius, Lituania.
Siebenlist, T. and Mainka, A. 2018. “Culture of Openness: The Beginning of Open Government in Municipalities in Germany. Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age. Delft, NLD (p. 59). New York, NY: Association for Computing Machinery.
Sigweni, B. e Shepperd, M. (2015). Usando análise cega para experimentos de engenharia de software. Anais da 19ª Conferência Internacional sobre Avaliação e Avaliação em Engenharia de Software. https://doi.org/10.1145/2745802.2745832
Silva, R. D. C. G., Zaidan, F. H., Braga, J. L., & Câmara, M. A. (2023). Integração Kaizen e Canvas à gestão do conhecimento. Revista de Ciências da Administração.
Susha, I., Grönlund, Å., and Janssen, M. 2015. “Organizational Measures to Stimulate User Engagement with Open Data”. Transforming Government: People, Process and Policy.
Temiz, S. (2021). Open innovation via crowdsourcing: a digital only hackathon case study from Sweden. Journal of Open Innovation: Technology, Market, and Complexity.
Ubaldi, B. 2013. “Open Government Data: Towards Empirical Analysis of Open Government Data Initiatives”, OECD Working Papers on Public Governance, No. 22. Paris: OECD Publishing.
Vetrò, A., Canova, L., Torchiano, M., Minotas, C. O., Iemma, R., and Morando, F. 2016. “Open Data Quality Measurement Framework: Definition and Application to Open Government Data”. Government Information Quarterly.
Westerlaken, M., Gabrys, J., & Urzedo, D. (2022). Digital Gardening with a Forest Atlas.
Yagui, M. M. M., & Vivacqua, A. S. (2019). A crowdsourcing web system for curating empirical knowledge in linked open data. In Proceedings of the 25th Brazillian Symposium on Multimedia and the Web.
Zeng, A., Fan, Y., Di, Z., Wang, Y., & Havlin, S. (2022). Impactful scientists have higher tendency to involve collaborators in new topics. Proceedings of the National Academy of Sciences of the United States of America, 119. https://doi.org/10.1073/pnas.2207436119.
Zuiderwijk, A., and Janssen, M. 2015. “Participation and Data Quality in Open Data Use: Open Data Infrastructures evaluated”. Proceedings of the 15th European Conference on E-Government – ECEG 2015, Portsmouth, UK.
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2024 Revista de Ciências da Administração
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
El autor deberá garantizar:
- que exista pleno consenso entre todos los coautores para aprobar la versión final del documento y su envío para publicación.
que su trabajo es original, y si se utilizó trabajo y/o palabras de otras personas, estos fueron debidamente reconocidos.
El plagio en todas sus formas constituye un comportamiento editorial poco ético y es inaceptable. RCA se reserva el derecho de utilizar software o cualquier otro método de detección de plagio.
Todos los envíos recibidos para evaluación en la revista RCA pasan por la identificación de plagio y autoplagio. El plagio identificado en los manuscritos durante el proceso de evaluación dará lugar al archivo del envío. Si se identifica plagio en un manuscrito publicado en la revista, el Editor Jefe realizará una investigación preliminar y, de ser necesario, se retractará.
Los autores otorgan a RCA los derechos exclusivos de primera publicación, estando la obra licenciada simultáneamente bajo la Licencia Creative Commons (CC BY) 4.0 Internacional.
Los autores están autorizados a celebrar contratos adicionales por separado, para la distribución no exclusiva de la versión del trabajo publicado en esta revista (por ejemplo, publicación en un repositorio institucional, en un sitio web personal, publicación de una traducción o como capítulo de un libro), con reconocimiento de autoría y publicación inicial en esta revista.
Esta licencia permite a cualquier usuario tener derecho a:
Compartir: copiar, descargar, imprimir o redistribuir el material en cualquier medio o formato.
Adapte: remezcle, transforme y cree a partir del material para cualquier propósito, incluso comercial.
Bajo los siguientes términos:
Atribución: debe dar el crédito apropiado (citar y hacer referencia), proporcionar un enlace a la licencia e indicar si se realizaron cambios. Debe hacerlo bajo cualquier circunstancia razonable, pero de ninguna manera que sugiera que el licenciante lo respalda a usted o su uso.
Sin restricciones adicionales: no puede aplicar términos legales ni medidas tecnológicas que restrinjan legalmente a otros hacer algo que la licencia permite.
