Contenido principal del artículo

Luis E. Cadenas

En este artículo se revisa el impacto de la transformación digital en las investigación en ciencias sociales. La posibilidad de usar grandes volúmenes de datos está limitada por la disponibilidad de infraestructura. En este contexto el rol de las redes nacionales de investigación y educación es fundamental. A tal fin se debe contar con un conjunto de servicios básicos expuestos a lo largo del texto y, finalmente, se proponen algunas acciones concretas para fortalecer la capacidad de los investigadores de usar esta tecnología para potenciar la capacidad de producir conocimiento y enfrentar los acuciantes problemas que enfrenta la humanidad.


Los datos de descargas todavía no están disponibles.

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

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:

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

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:


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.


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/


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:


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:


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.


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.

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:


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.


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


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

Detalles del artículo