O papel das redes nacionais de pesquisa e educação nas ciências sociais

DOI:  https://doi.org/10.12804/revistas.urosario.edu.co/disertaciones/a.7608

Barra lateral de artigos

PDF (Español (España)) HTML (Español (España)) Lector Inteligente (Español (España)) ePub (Español (España)) Video (Español (España))

Publicado: Jan 17, 2020
Edição: v. 13 n. 1 (2020): (Jan-Jun) Tecnologias e métodos computacionais para pesquisa em ciências sociais e comunicação
Seção Ensaios


Palavras-chave: RnEis Ciências da Computação telecomunicações Ciências Sociais

Conteúdo do artigo principal

Autores

Luis E. Cadenas
Red Clara

Resumo

Neste artigo se revisa o impacto da transformação digital na pesquisa em ciências sociais. A possibilidade de usar grandes volumes de dados está limitada pela disponibilidade de infraestrutura. Neste contexto o papel das redes nacionais de pesquisa e educação é fundamental. Com esse fim, deve-se contar com um conjunto de serviços básicos que são expostos e finalmente se propõem algumas ações concretas para fortalecer a capacidade dos pesquisadores de usar esta tecnologia para potenciar a capacidade de produzir conhecimento e enfrentar os imperiosos problemas que enfrenta a humanidade.
Como Citar
Cadenas, L. E. (2020). O papel das redes nacionais de pesquisa e educação nas ciências sociais. Anuario Electrónico De Estudios En Comunicación Social "Disertaciones", 13(1), 8–20. https://doi.org/10.12804/revistas.urosario.edu.co/disertaciones/a.7608
Referências

Abbott, B. P., et al. (2017). GW170817: Observation of Gravitational Waves from a Binary Neutron Star

Inspiral. Physical Review Letters, 119(16), 161101–1-161101–18. Doi: 10.1103/PhysRevLett.119.161101

Andrejevic, M. (2014). Big Data, Big Questions| The Big Data Divide. International Journal of Communication,

(17). Recuperado de https://ijoc.org/index.php/ijoc/article/view/2161

Baumberg, J. J. (2018). The secret life of science: how it really works and why it matters. Princeton: Princeton

University Press.

Boyd, D. & Crawford, K. (2012). Critical Questions for Big Data: Provocations for a cultural, technological, and scholarly phenomenon. Information, Communication & Society, 15(5), 662–679. Doi: 10.1080/1369118X.2012.678878

Cadenas, L. E. & Hernández, E. (2006). Knowledge Perspectives in Data Grids. En Bramer, M. (Ed.), Artificial Intelligence in Theory and Practice (pp. 189-198). Nueva York: International Federation for Information

Processing (ifip).

Carvalho, J., Laranjeira, C., Vaz, V. & Moreira, J. M. (2017). Monitoring a National Open Access Funder

Mandate. Procedia Computer Science, 106, 283-290. Doi: 10.1016/j.procs.2017.03.027

Coccia, M. & Wang, L. (2016). Evolution and convergence of the patterns of international scientific collaboration. Proceedings of the National Academy of Sciences, 113(18), 2057-2061. Doi: 10.1073/pnas.1510820113

Colson, D., Petropoulos, G. P. & Ferentinos, K. P. (2018). Exploring the Potential of Sentinels-1 & 2 of the

Copernicus Mission in Support of Rapid and Cost-effective Wildfire Assessment. International Journal of

Applied Earth Observation and Geoinformation, 73, 262-276. Doi: https://doi.org/10.1016/j.jag.2018.06.011

Conte, R., et al. (2012). Manifesto of computational social science. The European Physical Journal Special

Topics, 214(1), 325-346. Doi: 10.1140/epjst/e2012-01697-8

Education Roaming (EduRoaM) (2019). About. Recuperado de https://www.eduroam.org/about/

Epstein, J. M. (1999). Agent‐based computational models and generative social science. Complexity, 4,

-60. Doi:10.1002/(SICI)1099-0526(199905/06)4:5<41::AID-CPLX9>3.0.CO;2-F

Eysenbach, G. (2006). The open access advantage. Journal of Medical Internet Research, 8(2), e8. Doi:

2196/jmir.8.2.e8

Fehr, E., Fischbacher, U. & Gächter, S. (2002). Strong reciprocity, human cooperation, and the enforcement of

social norms. Human Nature, 13(1), 1-25. Doi: 10.1007/s12110-002-1012-7

Fortunato, S., et al. (2018). Science of science. American Association for the Advancement of Science,

(6379), eaao0185. Doi: 10.1126/science.aao0185

Gold, M. K. (Ed.) (2012). Debates in the Digital Humanities. Minneapolis: University of Minnesota Press.

Group on Earth Observations (GEo) (2019). Geo at a Glance. Recuperado de http://www.earthobservations.

org/geo_wwd.php

Harari, Y. N. (2015). Sapiens: A brief history of humankind. Nueva York: HarperCollins.

Hardin, G. (1968). The Tragedy of the Commons. Science, 62(3859), 1243-1248. Doi: 10.1126/

science.162.3859.1243

Harnad, S., et al. (2008). The Access/Impact Problem and the Green and Gold Roads to Open Access: An

Update. Serials Review, 34(1), 36-40. Doi: 10.1016/j.serrev.2007.12.005

Hey, T. & Trefethen, A. E. (2005). Cyberinfrastructure for e-science. Science, 308(5723), 817-821. Doi:

1126/science.1110410

Jutz, S. & Milagro-Pérez, M. P. (2018). 1.06 - Copernicus Program. En Liang, S. (Ed.), Comprehensive Remote

Sensing (pp. 150-191). Oxford: Elsevier.

Kennedy, H. & Moss, G. (2015). Known or knowing publics? Social media data mining and the question of

public agency. Big Data & Society, 1(1), 1-11. Doi: 10.1177/2053951715611145

Kitchin, R. (2014). Big Data, new epistemologies and paradigm shifts. Big Data & Society, 1(1), 1-12. Doi:

1177/2053951714528481

Kosinski, M., Matz, S. C., Gosling, S. D., Popov, V., & Stillwell, D. (2015). Facebook as a research tool for the

social sciences: Opportunities, challenges, ethical considerations, and practical guidelines. American

Psychologist, 70(6), 543-556. Doi: 10.1037/a0039210

Koutras, N. & Bottis, M. (2013). Institutional Repositories of Open Access: A Paradigm of Innovation and

Changing in Educational Politics. Procedia - Social and Behavioral Sciences, 106, 1499-1504. Doi: 10.1016/j.

sbspro.2013.12.169

Lautenbaucher, C. C. (2006). The Global Earth Observation System of Systems: Science Serving Society.

Space Policy, 22(1), 8-11. Doi: 10.1016/j.spacepol.2005.12.004

Lazer, D., et al. (2009). Computational Social Science. Science, 323(5915), 721-723. Doi: 10.1126/science.1167742

Lindebaum, D. (2015). Book Review of Sapiens: A brief history of humankind. Management Learning, 46(5),

-638. Doi: 10.1177/1350507615602981

Manovich, L. (2012). Trending: The Promises and the Challenges of Big Social Data. En Gold M. K. (Ed.),

Debates in the Digital Humanities (pp. 460-475). Minneapolis: University of Minnesota Press.

McClure, C. R., Bishop, A. P., Doty, P. & Rosenbaum, H. (1991). The National Research and Education

Network (nREn): Research and policy perspectives. Washington: Eric Digest. Recuperado de https://eric.

ed.gov/?q=The+National+Research+and+Education+Network+(NREN)%3a+Research+and+Policy+Perspectives&ft=on&ff1=autBishop%2c+Ann+P.&id=ED340390

Merle, J. & Meek, V. L. (2013). Scientific mobility and international research networks: trends and policy

tools for promoting research excellence and capacity building. Studies in Higher Education, 38(3), 331-344.

Doi: 10.1080/03075079.2013.773789

Metcalf, J. & Crawford, K. (2016). Where are human subjects in Big Data research? The emerging ethics

divide. Big Data & Society, 3(1), 1-14. Doi: 10.1177/2053951716650211

Nativi, S., Mazzetti, P., Santoro, M., Papeschi, F., Craglia, M., & Ochiai, O. (2015). Big Data challenges in

building the Global Earth Observation System of Systems. Environmental Modelling & Software, 68, 1-26.

Doi: 10.1016/j.envsoft.2015.01.017

Popper, K. P. (1967). La lógica de la investigación científica. Madrid: Tecnos.

Roehrig, A. D., Soper, D., Cox, B. E., & Colvin, G. P. (2018). Changing the Default to Support Open Access to

Education Research. Educational Researcher, 47(7), 465-473. Doi: 10.3102/0013189X18782974

Rowlands, I., Nicholas, D., Russell, B., Canty, N., & Watkinson, A. (2011). Social media use in the research

workflow. Learned Publishing, 24(3), 183-195. Doi: 10.1087/20110306

Salles, A., et al. (2019). The Human Brain Project: Responsible Brain Research for the Benefit of Society.

Neuron, 101(3), 380-384. Doi: 10.1016/j.neuron.2019.01.005

Sanchez, J. (2012). Predatory publishers are corrupting open access. Nature, 489(7415), 179. Doi:

1038/489179a

Sugimoto, C. R., Work, S., Larivière, V., & Haustein, S. (2017). Scholarly use of social media and altmetrics:

A review of the literature. Journal of the Association for Information Science and Technology, 68, 2037-2062.

Doi: 10.1002/asi.23833

unEsco (2015). unEsco Science Report: Towards 2030. París: unEsco. Recuperado de https://unesdoc.unesco.

org/ark:/48223/pf0000235406

Van Noorden, R. (2013). Open access: The true cost of science publishing. Nature, 495, 426-429. Doi:

1038/495426a

Wilsdon, J., et al. (2011). Knowledge, networks and nations: global scientific collaboration in the 21st century.

Londres: The Royal Society.

Wulder, M., et al. (2019). Current status of Landsat program, science, and applications. Remote Sensing of

Environment, 225, 127-147. Doi: 10.1016/j.rse.2019.02.015

Zhu, Z., et al. (2019). Benefits of the free and open Landsat data policy. Remote Sensing of Environment,

, 382-385. Doi: 10.1016/j.rse.2019.02.016

Estatísticas de consulta

Downloads

Não há dados estatísticos.
Métricas de publicação

487 35 37




 

Creative Commons License

Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.