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Data sharing is increasingly an expectation in health research as part of a general move toward more open sciences. In the United States, in particular, the implementation of the 2023 National Institutes of Health Data Management and Sharing Policy has made it clear that qualitative studies are not exempt from this data sharing requirement. Recognizing this trend, the Palliative Care Research Cooperative Group (PCRC) realized the value of creating a de-identified qualitative data repository to complement its existing de-identified quantitative data repository. The PCRC Data Informatics and Statistics Core leadership partnered with the Qualitative Data Repository (QDR) to establish the first serious illness and palliative care qualitative data repository in the U.S. We describe the processes used to develop this repository, called the PCRC-QDR, as well as our outreach and education among the palliative care researcher community, which led to the first ten projects to share the data in the new repository. Specifically, we discuss how we co-designed the PCRC-QDR and created tailored guidelines for depositing and sharing qualitative data depending on the original research context, establishing uniform expectations for key components of relevant documentation, and the use of suitable access controls for sensitive data. We also describe how PCRC was able to leverage its existing community to recruit and guide early depositors and outline lessons learned in evaluating the experience. This work advances the establishment of best practices in qualitative data sharing.

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BACKGROUND: Public hospital managers in Rio de Janeiro must deal with severe budget costs, which is the only source of income of public hospitals. In this sense, systematic supply chain risk management can contribute to identifying such risks, assessing their severity, and developing mitigating plans, or even revealing the lack of such plans. Private hospital networks must also map their risks since they are facing a diminishing of demand given that unemployment in Brazil, which is growing in the past years, generates an impossibility of affording private healthcare. OBJECTIVE: The purpose of this paper is to investigate how supply chain risk management is being applied in healthcare supply chains from Rio de Janeiro - Brazil. This study considers supply chains located in the state of Rio de Janeiro. To accomplish this objective, we provide answers to two Research Questions: RQ1 - Is SCRM known as a concept among Rio de Janeiro healthcare supply chains? RQ2 - How are risk identification, risk assessment, and risk mitigation being implemented by companies from the healthcare supply chains in Rio de Janeiro - Brazil? METHOD: Our research design is based on four steps: i) Research design; ii) Case selection: iii) Data collection (11 cases selected); iv) Data analysis. RESULTS: The interviews revealed that SCRM is an entirely unknown concept among healthcare supply chains from Rio de Janeiro - Brazil. Managers have empirical knowledge of the risks, and they can identify the most hazardous risks and can come up with solutions to mitigate them, nevertheless, in many situations they do not have the authority or the manpower to implement the solutions, at most, managers implement local risk mitigation initiatives that do not consider the supply chains broader context. CONCLUSION: The healthcare organizations studied by this paper do not apply SCRM. They only apply local isolated solutions not considering a supply chain scope. This can become hazardous since isolated risk mitigation initiatives are often innocuous and have the potential to generate other risks.

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Psychological research often seeks general rules applying across individuals, an aim that is in tension with examining that which is unique to any individual. There are general statistical regularities across individuals' subjective self-report which enable much psychology and psychotherapy research to combine data from self-report questionnaire responses with statistical and psychometric methods to create a fundamental part of Cronbach and Meehl's foundational nomological networks of validity. However, these methods only apply when most participants answer the same questions on measures creating nomothetic data and this has led to a neglect of idiographic data. This paper reviews a method of analysis of idiographic data, of "rigorous idiography": the method of derangements. This is a remarkably simple statistical test of whether purely idiographic data convey reliable information. We show how the method appeared to become stuck in a bibliometric backwater but we expand on its potential for research and practise and hope it will be taken up and used correctly and more widely.

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Resumen En la investigación cualitativa, el análisis y la interpretación de los datos es una tarea de difícil manejo, incluso para los investigadores más experimentados. Si bien existen muchas técnicas disponibles para llevar a cabo el análisis de datos cualitativos, algunos autores relevantes del área proponen que es posible identificar un núcleo básico sin necesidad de hacer coincidir las distintas perspectivas del método cualitativo. Hacer foco en esta comunalidad permitirá hacer más comprensible la tarea de análisis para los investigadores noveles. El objetivo principal del presente trabajo es mostrar en qué consiste este núcleo básico de análisis, dando cuenta de los pasos necesarios para llevarlo a cabo. Además, se revisan técnicas concretas para la detección de temas, se presentan ejemplos haciendo uso del software Atlas.ti, y se muestran las formas posibles de presentación de los resultados.

Abstract Within the research process, the analysis of the data emerges as one of the most important steps. In qualitative research, the analysis of data is a difficult task for even the most experienced researchers and often brings up many doubts about the way to implement it. It is therefore necessary to have material that facilitates the analysis process. Even though there are numerous manuals that focus on the analysis of qualitative data, researchers often can be confused with the large number of names that this type of analysis receives (e.g. Thematic Analysis, Content Analysis) or with the various qualitative methods (e.g. Phenomenology, Grounded Theory) that are available. Each of these qualitative approaches presents a particular language to detail the research process, which makes it difficult to recognize common aspects shared by these methods. Recently, the American Psychological Association has emphasized the need to identify, within the various qualitative methods and procedures, shared standards for reporting this type of work. In agreement with the above, several qualitative researchers have pointed out that beyond the aforementioned diversity it is possible to identify a basic core with regard to qualitative analysis, without having to match the different perspectives of the qualitative method, such as Grounded Theory, Ethnography ore Phenomenology. Focusing on this communality will facilitate a simpler and clearer approach to the data analysis process. The analysis process mainly involves 1) data condensation, and 2) presentation of results. Following this line, the present manuscript aims to: (a) develop what the basic core of data analysis consists of, (b) show the necessary steps to carry out this analysis process, (c) review specific techniques for the detection of categories, (d) present examples using the Atlas.ti software, and (e) show the possible ways of presenting the results. Researchers have realized the importance of having methodological works that facilitate the analysis of qualitative data, and allow answering the question: What does qualitative analysis look like in practice?. The development of this type of work pretends on the one hand to facilitate the understanding of the process of qualitative data analysis and, on the other hand, serve to shape better and in a more standard way which was the data analysis procedure applied in the respective investigations. This material should be taken as a first step in the understanding of the process, and it should not be understood that the qualitative analysis is reduced only to what is developed in this article. For example, in the first level grouping step or first coding cycle, the researcher can make use of 25 different types or forms of coding (e.g., live coding). Even so, the development of works such as the present manuscript is intended to facilitate the understanding and reporting the process of qualitative data analysis. Beyond the name with which the researcher calls the analysis procedure carried out, it is relevant to report in his works the basic steps (i.e. Identification, First and Second Level of Categorization), and the specific techniques used to detect categories or topics (e.g. repetition or similarities). Likewise, it is advisable to follow the guidelines recently published by the APA for the publication of qualitative research. We hope that this material will be useful especially for new researchers who need an introductory text to carry out the qualitative data analysis.

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RESUMEN Introducción: Especialistas de la Facultad de Psicología de la Universidad de La Habana propusieron el cuestionario sobre Bienestar Humano Personal, Laboral y Social (BHPLS), que se aplicó a 135 trabajadores cubanos de tres grupos sociolaborales. Dada la variedad de respuestas, se impuso un análisis de contenido (AC) para la Pregunta 1 del cuestionario. Objetivo: Proponer e implementar un software que permita la categorización semiautomática en un AC para dicha pregunta. Material y Métodos: Se utilizó el índice de concordancia Kappa para evaluar el acuerdo entre expertos respecto al esquema de categorías. Se implementó un software en el lenguaje de programación Python para cumplir el objetivo, considerando las funcionalidades de softwares similares. Resultados: Se implementó, validó y registró un software "BHPLS data processing-UH®" que permite establecer las categorías, cargar los datos, categorizarlos semiautomáticamente y guardar el resultado, entre otras funcionalidades. La categorización manual con estudiantes de Psicología obtuvo un índice de concordancia Kappa negativo (bajo acuerdo entre expertos), mientras que usando el software propuesto, se alcanzó un Kappa global 0.7871 con p=0.00 (alta concordancia y alta significación estadística). Además, se propuso un algoritmo para la unificación de las categorizaciones de expertos y se ejecutó un Análisis de Correspondencias (ANACOR) sobre la combinación de categorizaciones obtenidas. Conclusiones: Dada la alta concordancia alcanzada, se recomienda el uso del software por su adaptabilidad, facilidad de uso y la "humanización" del AC. El ANACOR permitió observar similitudes entre los grupos sociolaborales. Las funcionalidades del software pueden aplicarse para el procesamiento de asociaciones libres en otros escenarios.

ABSTRACT Introduction: Experts of the Faculty of Psychology of the University of Havana proposed the Personal, Labor and Social Human Well-being questionnaire (BHPLS, in Spanish), that was applied to 135 Cuban workers of three social and occupational groups. Given the variety of responses, a content analysis (CA) was used for Question 1 of the mentioned questionnaire. Objective: To present and implement a software that allows a semi-automatic categorization in a CA used for this question. Material and Methods: The Kappa index test was used to evaluate experts´ agreement with respect to category schemes. We implemented a software with the Python programming language to achieve our objective, considering other similar software functionalities. Results: We implemented, validated and registered the software BHPLS data processing-UH® that allows to set up a categories system, load the collected data, categorize associations in a semi-automatic way, and save the results, among other functionalities. This software was validated by Psychology students and, when they performed the manual categorization, a negative Kappa agreement index (low categorization agreement between experts) was obtained whereas using the proposed software, a global Kappa index of 0.7871 with p=0.00 (high and statistically significant categorization agreement between experts) was obtained. Besides, we proposed a unified algorithm for expert's categorizations, and carried out a Correspondence Analysis (ANACOR) on the basis of the categorizations achieved. Conclusions: According to the high concordance attained, we recommend the software due to its adaptability, ease of use, and "humanization'' of the process. The CA allowed us to observe similarities in social and occupational groups. The software functionalities can be applied for processing free associations in other scenarios.

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The gap between ideal and observed fertility is a very common phenomenon in Brazil. However, given the severe criticism of indicators on desired and ideal family sizes, it is important to reflect on how well fertility preferences are grasped by traditional questions. This paper discusses whether having fewer children than desired is a matter of choice or if it represents an inability to implement reproductive preferences, generating dissatisfaction with one´s fertility behavior. Data come from 62 in-depth interviews conducted with 31 couples with high educational levels, living in Belo Horizonte, Brazil, with up to two children. Negative discrepant fertility was predominant among most couples interviewed. Many of them, however, are fully satisfied with their current fertility situation and do not seem to be willing to implement their desire for more children.

No Brasil, o hiato entre fecundidade ideal e observada é cada vez mais comum. Paralelamente, perante as severas críticas feitas aos indicadores disponíveis sobre o tamanho desejado/ideal de família, torna-se relevante refletir sobre até que ponto as respostas das pessoas refletem adequadamente suas preferências. O objetivo deste artigo é discutir se ter menos filhos do que o desejado é fruto de uma escolha ou se representa, de fato, uma incapacidade de implementação das preferências reprodutivas e uma insatisfação com o seu comportamento de fecundidade. Utilizam-se dados de 62 entrevistas em profundidade realizadas com 31 com casais de alta escolaridade com até dois filhos, residentes em Belo Horizonte, Brasil. Pode-se verificar que a fecundidade discrepante negativa predominou para a maioria dos casais entrevistados. Nota-se, porém, que uma parte importante destes casais está totalmente satisfeita com a situação atual de fecundidade, já que não pareciam dispostos a efetivar o desejo de aumentar o número de filhos.

La brecha entre ideales de fecundidad y fecundidad observada es cada vez más común en Brasil. Complementariamente, ante las severas críticas a los indicadores disponibles sobre el tamaño deseado e ideal de familia, es importante reflexionar hasta qué punto las respuestas de las personas reflejan adecuadamente sus preferencias reproductivas. El objetivo de este artículo es discutir si tener menos hijos de los deseados se configura como opción o si, de hecho, representa una incapacidad de implementación de las preferencias reproductivas y un descontento con su comportamiento de fecundidad. Se utilizarán datos de entrevistas en profundidad hechas a 31 parejas con alta escolarización, residentes en Belo Horizonte, Brasil, con hasta dos hijos. Si bien se observa que la fecundidad discrepante negativa predomina en la mayoría de las parejas entrevistadas, también se observa que, dentro de esta mayoría, existe una proporción importante totalmente satisfecha con esta situación, que no parecía estar dispuesta a aumentar su número de hijos.

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Introducción: los contenidos de análisis de datos cualitativos de la residencia de Bioestadística están contemplados en su plan de estudio desde 1981. Sus temas y estrategias docentes han cambiado a lo largo el tiempo. Objetivo: explicar las variaciones ocurridas en su impartición en cuanto a contenidos y estrategias docentes empleadas a partir de la experiencia de su actual profesora principal en la sede de La Habana. Métodos: se realizó análisis de los contenidos del curso en los programas la residencia de Bioestadística aprobados a partir de 1981. Se consideraron las experiencias de la autora que ha sido la profesora principal del curso por más de 20 años. Resultados: se eliminaron temas como Una Variable de Respuesta, se completó el de Regresión Logística y se introdujo el Análisis de Correspondencia, se perfeccionaron las clases teóricas y prácticas por el diseño de monografías docentes y la introducción de paquetes computacionales. Conclusiones: los contenidos han variado con la finalidad de lograr mayor comprensión de las técnicas que se imparten en la solución de problemas de investigación en correspondencia con el desarrollo de software y las posibilidades de contar con más computadoras para la docencia. Las estrategias docentes han cambiado en función de las facilidades informáticas y la utilización de monografías diseñadas para la residencia sobre el tema con el propósito de perfeccionar las habilidades de los residentes en el procesamiento de datos y en su análisis(AU)

Introduction: The contents of qualitative data analysis of the Biostatistics residency have been considered in its plan of studies since 1981. Such topics and teaching strategies have changed over time. Objective: To explain the variations that occurred in its teaching in terms of content and teaching strategies used from the experience of its current main professor at the Havana campus. Methods: The course's subjects were analyzed in the Biostatistics residency programs approved since 1981. The experiences of the author, who has been the course's main profesor for more than 20 years, were considered. Results: Topics such as A response variable were eliminated, Logistics regression was completed, and Correspondence analysis was introduced. Theoretical and practical lessons were improved by the design of teaching monographs and the introduction of computational packages. Conclusions: The contents have varied in order to gain better understanding of the techniques taught in the solution of research problems in correspondence with the development of software and the possibilities of having more computers for teaching. The teaching strategies have changed according to computer facilities and the use of monographs designed for the residency on the subject, in order to improve the residents' skills in data processing and analysis(AU)

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