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      Ponderación de la información generada en la Estación Experimental Agropecuaria Oliveros del INTA (INTA EEA Oliveros) mediante el proceso analítico jerárquico

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          Abstract

          En el siglo xxi, el subsistema de conocimiento científico-tecnológico se convirtió en el principal componente del capital cultural de un país viabilizando el desarrollo socioeconómico y la potencialidad de los países desarrollados. El Instituto Nacional de Tecnología Agropecuaria (INTA) es un organismo de ciencia y tecnología de Argentina entre cuyos objetivos está la generación y transferencia de conocimiento científico al sector agropecuario. Dicha información se genera en estaciones experimentales agropecuarias e institutos de investigación que lo integran y que abordan los problemas del sector en distintas regiones el país. Los sectores destinados a la investigación, experimentación y transferencia del conocimiento tienen como producto las publicaciones científicas, manuales, informes técnicos, cursos y talleres entre otros. Los objetivos de este estudio fueron: 1) clasificar la formas de presentación del conocimiento producido en la EEA Oliveros, así como seleccionar y definir los criterios y alternativas requeridos en la ponderación de este y 2) aplicar la ponderación a la producción de conocimientos de la EEA Oliveros para el año 2014. Para clasificar, agrupar y ponderar el producto de la investigación/extensión generada por el INTA Oliveros se reunió un equipo de investigadores y extensionistas de la institución. El Proceso Analítico Jerárquico (AHP) fue utilizado para el presente estudio. Este permite, a partir de valoraciones preasignadas, priorizar un conjunto de elementos, según los juicios, y preferencias de los individuos del equipo, adoptando un valor consensuado. Los resultados mostraron que los productos generados como información original (IO=revistas con y sin referato, así como presentación a congresos) representaron el 60.8% de la producción de conocimiento total; la información elaborada (IE=libros, capítulos libros, manuales y producción audiovisual) representó el 10.8% y la transferencia de conocimiento (TC=cursos, jornadas y disertaciones), el 28.4%. La metodología empleada resultó útil para ponderar la generación de conocimiento. Estos resultados pueden ser utilizados para comparar la producción de conocimiento entre períodos, entre unidades, consensuando los criterios con un equipo representativo de las estas, e incluso para ser utilizadas como insumo en análisis o evaluaciones de otras temáticas. De todas maneras, es aconsejable revisar y adecuar periódicamente los criterios y alternativas seleccionadas para acompañar los posibles cambios en enfoques y desarrollos que ocurren en investigación, según los períodos que se van atravesando.

          Translated abstract

          The scientific and technological knowledge subsystem becomes one of the main components of a country cultural capital, fostering its economic development. The National Institute of Agricultural Technology (INTA) is a science and technology body in Argentina whose objectives include the generation and transfer of scientific knowledge to the agricultural sector through experimental stations and research institutes located in different regions of the country. Research, experimentation and knowledge transfer produce scientific publications, manuals, technical reports, courses, congress presentations and workshops. The objectives of this study were: 1) to classify the way of featuring knowledge production in the EEA Oliveros, as well as to select and define the criteria and alternatives used for weighting (without seeking to qualify it) the original and elaborate knowledge produced, and 2) to apply the weighting to the EEA Oliveros' knowledge production for the year 2014. A team of researchers and extensionists was gathered to classify, group and weight the research/extension produced by the EEA Oliveros. The Analytic Hierarchy Process (AHP) method was used for this study. It allows to prioritize a set of elements based on an established valuation scale, according to the team individuals' judge, preferences and agreement. The results showed that the products generated as original information (OI=journals with and without peer review and congress presentation) accounted for 60.8% of total knowledge production; elaborated information (EI=books, book's chapters, manuals and audiovisual production) 10.8% and the knowledge transfer (KT=courses, seminars and lectures) 28.4%.The methodology was useful to weigh the generation of knowledge. These results can be used to compare the production of knowledge between periods, between INTA units by the consensus of the criteria used, and even it can be used as input for analysis or evaluation of other issues. However, it is desirable to periodically review and adjust the selected criteria and alternatives to join the possible research changes along the periods that go through on approaches and developments.

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          Most cited references14

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          Decision making with the analytic hierarchy process

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            The analytic hierarchy process—what it is and how it is used

            R.W. Saaty (1987)
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              Nine Criteria for a Measure of Scientific Output

              Scientific research produces new knowledge, technologies, and clinical treatments that can lead to enormous returns. Often, the path from basic research to new paradigms and direct impact on society takes time. Precise quantification of scientific output in the short-term is not an easy task but is critical for evaluating scientists, laboratories, departments, and institutions. While there have been attempts to quantifying scientific output, we argue that current methods are not ideal and suffer from solvable difficulties. Here we propose criteria that a metric should have to be considered a good index of scientific output. Specifically, we argue that such an index should be quantitative, based on robust data, rapidly updated and retrospective, presented with confidence intervals, normalized by number of contributors, career stage and discipline, impractical to manipulate, and focused on quality over quantity. Such an index should be validated through empirical testing. The purpose of quantitatively evaluating scientific output is not to replace careful, rigorous review by experts but rather to complement those efforts. Because it has the potential to greatly influence the efficiency of scientific research, we have a duty to reflect upon and implement novel and rigorous ways of evaluating scientific output. The criteria proposed here provide initial steps toward the systematic development and validation of a metric to evaluate scientific output.
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                ria
                RIA. Revista de investigaciones agropecuarias
                RIA. Rev. investig. agropecu.
                Instituto Nacional de Tecnologia Agropecuaria (INTA) (Ciudad Autónoma de Buenos Aires, , Argentina )
                1669-2314
                August 2016
                : 42
                : 2
                : 138-143
                Affiliations
                [02] Rosario Santa Fe orgnamePontificia Universidad Católica Argentina orgdiv1Facultad de Química e Ingeniería Argentina
                [01] Oliveros Santa Fe orgnameINTA orgdiv1EEA OLIVEROS Argentina
                Article
                S1669-23142016000200013
                a112d9aa-53ac-4171-85bc-90865dd6ebe7

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 23 May 2016
                : 23 December 2015
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 14, Pages: 6
                Product

                SciELO Argentina


                Producción científica,Conocimiento,Valoración,Research evaluation,Analytic Hierarchy Process (AHP),Experimental Station efficacy

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