Quality of Open Research Data: Values, Convergences and Governance

Koltay, Tibor

doi:10.3390/info11040175

Cited by 18 publications

(19 citation statements)

References 58 publications

(71 reference statements)

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“…Data repositories, particularly specialist or domain repositories, facilitate the reuse of data within and across disciplines by offering extensive data curation and stewardship services (Boté & Térmens, 2019). Quality control, documentation, and peer-review also are necessary data curation functions of repositories that facilitate reuse (Koltay, 2020). When open data are described and curated, potential users have an opportunity to explore data products to determine their potential usefulness for a particular purpose.…”

Section: Added-value Of Data Repositoriesmentioning

confidence: 99%

Improving Opportunities for New Value of Open Data: Assessing and Certifying Research Data Repositories

Downs¹

2021

Data Science Journal

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Investments in research that produce scientific and scholarly data can be leveraged by enabling the resulting research data products and services to be used by broader communities and for new purposes, extending reuse beyond the initial users and purposes for which the data were originally collected. Submitting research data to a data repository offers opportunities for the data to be used in the future, providing ways for new benefits to be realized from data reuse. Improvements to data repositories that facilitate new uses of data increase the potential for data reuse and for gains in the value of open data products and services that are associated with such reuse. Assessing and certifying the capabilities and services offered by data repositories provides opportunities for improving the repositories and for realizing the value to be attained from new uses of data. The evolution of data repository certification instruments is described and discussed in terms of the implications for the curation and continuing use of research data.

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Section: Added-value Of Data Repositoriesmentioning

confidence: 99%

Improving Opportunities for New Value of Open Data: Assessing and Certifying Research Data Repositories

Downs¹

2021

Data Science Journal

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“…Finally, ensuring security for a data-sharing infrastructure and the ability for the NR fellows and mentors working in different geographic areas to remotely access the data is a challenge for protecting sensitive research information and maintaining strong privacy practices among investigators. [ 19 20 ]…”

Section: Introductionmentioning

confidence: 99%

A Model for Building Research Capacity and Infrastructure in Oncology: A Nursing Research Fellowship

Ebstein

Barton-Burke

Fessele

2020

Asia-Pacific Journal of Oncology Nursing

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Objective: This article describes how one comprehensive cancer center in the Northeast United States reorganized their nursing research fellowship (NRF) with the goals of engaging nurses in research processes, developing a culture of inquiry, building nursing research capacity, and sustaining infrastructures for facilitating high-quality, nurse-led oncology research studies. Methods: The basis for the curriculum, course work, and research practicum is derived from academic courses taught at the undergraduate, graduate, and doctoral levels. Evidence from the current literature, expertise of nurse-scientists, and feedback from former fellows provided the background for a fellowship model that included: (1) amending curriculum timeframes; (2) incorporating protected time; (3) improving access to resources; (4) enhancing the protection, data sharing, and accessibility of data; and (5) involving nurse-scientists as mentors and facilitators of research processes. These factors were incorporated over 3 years. Metrics included individual class and overall course evaluations and ongoing assessments. Results: In three cohorts from 2016 to 2019, a total of 21 nurses were accepted, and 18 (86%) nurses completed the NRF. In cohort 1 through cohort 3, 17 fellows presented their research findings internally, and a total of nine projects were presented at external forums. There were seven fellows whose manuscript submissions resulted in 21 journal publications. Of the 18 fellows, 15 (83%) conducted institutional review board-approved studies and three (17%) fellows developed studies involving one concept analysis and two systematic reviews. Conclusions: Utilizing technology, the fellowship improved access beyond the classroom setting. Improved application processes, the inclusion of protected time for nurses, and mentoring from nurse-scientists demonstrate a commitment to fostering a culture supporting new knowledge and innovation for improving patient care.

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“…Aptitud para el uso: Asegurar la capacidad del dato para servir a un propósito definido [5], [6], [14], [20], [23], [24], [28], [33]- [37].…”

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“… Orientado a procesos: Gestionar la calidad de los datos, a través de procesos que permitan implementar la estrategia de calidad de forma efectiva, con actividades interrelacionadas para una ejecución sistemática [14], [23], [33], [36]- [38].…”

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Principios, lineamientos, dimensiones y atributos para la evaluación de calidad de Datos Abiertos de Gobierno

Rangel-Carrillo

Maestre-Góngora

Osorio-Sanabria

2020

AiBi Revista de Investigación, Administración e Ingeniería

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El propósito de esta investigación fue establecer una base conceptual para la evaluación de calidad de los datos abiertos de gobierno, al delimitar los principios, lineamientos, dimesiones y atributos de calidad requeridos para implementar una operación efectiva de las directrices dadas por el Ministerio de Tecnologías de la Información y las Comunicaciones de Colombia. Se realizó una revisión de literatura, en la cual se definió el objetivo de la investigación, se realizó una consulta en diferentes fuentes, se prepararon los datos y se clasificó la literatura de acuerdo con los criterios de selección definidos y así alinear los componentes seleccionados en un esquema estratégico que prioriza la explotación de los datos como fuente de tendencias e innovaciones. Se identificaron tres principios esenciales: Aptitud para el Uso, Orientación a Procesos y Mejora Continua de los cuales se desprenden tres dimensiones para considerar el contexto, las propiedades y representación de valor de los datos, con 6 lineamientos y 12 atributos que aportan de manera gradual con el nivel de calidad requerido según los documentos técnicos de referente para el contexto colombiano. En conclusión, el modelo propuesto permite desarrollar una evaluación de calidad de los datos abiertos de gobierno para habilitar, a través de su publicación y reutilización, los beneficios de la conversión de la materia prima de los datos en productos que se materializan en información relevante y coherente para el sector público, privado y la ciudadanía en general.

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Quality of Open Research Data: Values, Convergences and Governance

Cited by 18 publications

References 58 publications

Improving Opportunities for New Value of Open Data: Assessing and Certifying Research Data Repositories

Improving Opportunities for New Value of Open Data: Assessing and Certifying Research Data Repositories

A Model for Building Research Capacity and Infrastructure in Oncology: A Nursing Research Fellowship

Principios, lineamientos, dimensiones y atributos para la evaluación de calidad de Datos Abiertos de Gobierno

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