In the course of our supervisory work over the years, we have noticed that qualitative research tends to evoke a lot of questions and worries, so-called frequently asked questions (FAQs). This series of four articles intends to provide novice researchers with practical guidance for conducting high-quality qualitative research in primary care. By ‘novice’ we mean Master’s students and junior researchers, as well as experienced quantitative researchers who are engaging in qualitative research for the first time. This series addresses their questions and provides researchers, readers, reviewers and editors with references to criteria and tools for judging the quality of qualitative research papers. The second article focused on context, research questions and designs, and referred to publications for further reading. This third article addresses FAQs about sampling, data collection and analysis. The data collection plan needs to be broadly defined and open at first, and become flexible during data collection. Sampling strategies should be chosen in such a way that they yield rich information and are consistent with the methodological approach used. Data saturation determines sample size and will be different for each study. The most commonly used data collection methods are participant observation, face-to-face in-depth interviews and focus group discussions. Analyses in ethnographic, phenomenological, grounded theory, and content analysis studies yield different narrative findings: a detailed description of a culture, the essence of the lived experience, a theory, and a descriptive summary, respectively. The fourth and final article will focus on trustworthiness and publishing qualitative research.
In the course of our supervisory work over the years we have noticed that qualitative research tends to evoke a lot of questions and worries, so-called frequently asked questions (FAQs). This series of four articles intends to provide novice researchers with practical guidance for conducting high-quality qualitative research in primary care. By ‘novice’ we mean Master’s students and junior researchers, as well as experienced quantitative researchers who are engaging in qualitative research for the first time. This series addresses their questions and provides researchers, readers, reviewers and editors with references to criteria and tools for judging the quality of qualitative research papers. The first article provides an introduction to this series. The second article focused on context, research questions and designs. The third article focused on sampling, data collection and analysis. This fourth article addresses FAQs about trustworthiness and publishing. Quality criteria for all qualitative research are credibility, transferability, dependability, and confirmability. Reflexivity is an integral part of ensuring the transparency and quality of qualitative research. Writing a qualitative research article reflects the iterative nature of the qualitative research process: data analysis continues while writing. A qualitative research article is mostly narrative and tends to be longer than a quantitative paper, and sometimes requires a different structure. Editors essentially use the criteria: is it new, is it true, is it relevant? An effective cover letter enhances confidence in the newness, trueness and relevance, and explains why your study required a qualitative design. It provides information about the way you applied quality criteria or a checklist, and you can attach the checklist to the manuscript.
In the course of our supervisory work over the years, we have noticed that qualitative research tends to evoke a lot of questions and worries, so-called frequently asked questions (FAQs). This series of four articles intends to provide novice researchers with practical guidance for conducting high-quality qualitative research in primary care. By ‘novice’ we mean Master’s students and junior researchers, as well as experienced quantitative researchers who are engaging in qualitative research for the first time. This series addresses their questions and provides researchers, readers, reviewers and editors with references to criteria and tools for judging the quality of qualitative research papers. This second article addresses FAQs about context, research questions and designs. Qualitative research takes into account the natural contexts in which individuals or groups function to provide an in-depth understanding of real-world problems. The research questions are generally broad and open to unexpected findings. The choice of a qualitative design primarily depends on the nature of the research problem, the research question(s) and the scientific knowledge one seeks. Ethnography, phenomenology and grounded theory are considered to represent the ‘big three’ qualitative approaches. Theory guides the researcher through the research process by providing a ‘lens’ to look at the phenomenon under study. Since qualitative researchers and the participants of their studies interact in a social process, researchers influence the research process. The first article described the key features of qualitative research, the third article will focus on sampling, data collection and analysis, while the last article focuses on trustworthiness and publishing.
Developing a framework that integrates Advanced Language Models into the qualitative research process.Qualitative research, vital for understanding complex phenomena, is often limited by labour-intensive data collection, transcription, and analysis processes. This hinders scalability, accessibility, and efficiency in both academic and industry contexts. As a result, insights are often delayed or incomplete, impacting decision-making, policy development, and innovation. The lack of tools to enhance accuracy and reduce human error exacerbates these challenges, particularly for projects requiring large datasets or quick iterations. Addressing these inefficiencies through AI-driven solutions like AIDA can empower researchers, enhance outcomes, and make qualitative research more inclusive, impactful, and efficient.The AIDA project enhances qualitative research by integrating AI technologies to streamline transcription, coding, and analysis processes. This innovation enables researchers to analyse larger datasets with greater efficiency and accuracy, providing faster and more comprehensive insights. By reducing manual effort and human error, AIDA empowers organisations to make informed decisions and implement evidence-based policies more effectively. Its scalability supports diverse societal and industry applications, from healthcare to market research, fostering innovation and addressing complex challenges. Ultimately, AIDA contributes to improving research quality, accessibility, and societal relevance, driving advancements across multiple sectors.
De afgelopen twee decennia is er veel meer aandacht ontstaan bij onderzoekers en beleidsmakers voor het begrip co-creatie. Bijna altijd wordt de rol van co-creatie als positief en essentieel gezien in een proces waarin maatschappelijke of publieke uitdagingen worden onderzocht en opgelost (zogenaamde sociale innovatie). Het meeste onderzoek naar deze twee begrippen is kwalitatief van aard en gebaseerd op ‘case studies’.In zijn promotieonderzoek kijkt Peter Broekema naar de rol van co-creatie binnen sociale innovatie in Europese samenwerkingsprojecten. In zijn eerste artikel heeft hij de begrippen co-creatie en sociale innovatie tussen 1995 en 2018 binnen de EU geanalyseerd en geconcludeerd dat beide begrippen steeds breder gebruikt worden en samen met het begrip impact zijn getransformeerd tot een beleidsparadigma.In het tweede artikel keek Peter Broekema hoe beide begrippen doorwerken in specifieke subsidieoproepen en hoe consortia deze begrippen toepassen en samenwerken. Hierbij bleek dat er weliswaar verschillende typen consortia bestaan, maar dat zij geen specifieke co-creatiestrategie hadden.In zijn laatste twee artikelen zal hij gedetailleerd kijken naar een aantal EU projecten en vaststellen hoe de samenwerking is verlopen en hoe tevreden de verschillende partners zijn met het resultaat. Peter Broekema maakt hiervoor gebruik van projecten waarin hij zelf participeert (ACCOMPLISSH, INEDIT en SHIINE).EU beleidsparadigma van sociale innovatie in combinatie met co-creatie en impact. Co-creatie vindt vaak binnen eigen type stakehodlers plaatsAbstractSocial innovation and co-creation are both relatively new concepts, that have been studied by scholars for roughly twenty years and are still heavily contested. The former emerged as a response to the more technologically focused concept of innovation and the latter originally solely described the collaboration of end-users in the development of new products, processes or services. Between 2010-2015, both concepts have been adapted and started to be used more widely by for example EU policymakers in their effort to tackle so called ‘grand societal challenges’. Within this narrative – which could be called co-creation for social innovation, it is almost a prerequisite that partners – especially citizens - from different backgrounds and sectors actively work together towards specific societal challenges. Relevance and aimHowever, the exact contribution of co-creation to social innovation projects is still unclear. Most research on co-creation has been focussing on the involvement of end-users in the development of products, processes and services. In general, scholars conclude that the involvement of end-users is effective and leads to a higher level of customer satisfaction. Only recently, research into the involvement of citizens in social innovation projects has started to emerge. However, the majority of research on co-creation for social innovation has been focusing on collaborations between two types of partners in the quadruple helix (citizens, governments, enterprises and universities). Because of this, it is still unclear what co-creation in social innovation projects with more different type of partners entails exactly. More importantly however, is that most research has been based on national case studies in which partners from different sectors collaborate in a familiar ‘national’ setting. Normally institutional and/or cultural contexts influence co-creation (for example the ‘poldermodel’in the Netherlands or the more confrontational model in France), so by looking at projects in a central EU and different local contexts it becomes clear how context effects co-creation for social innovation.Therefore this project will analyse a number of international co-creation projects that aim for social innovation with different types of stakeholders in a European and multi-stakeholder setting.With this research we will find out what people in different contexts believe is co-creation and social innovation, how this process works in different contexts and how co-creation contributes to social innovation.Research question and - sub questionsThe project will answer the following question: “What is the added value of co-creation in European funded collaboration projects that aim for social innovation?” To answer the main question, the research has been subdivided into four sub questions:1) What is the assumed added value of co-creation for social innovation?2) How is the added value of co-creation for social innovation being expressed ex ante and ex post in EU projects that aim specifically for social innovation by co-creation?3) How do partners and stakeholders envision the co-creation process beforehand and continuously shape this process in EU projects to maximise social innovation?4) How do partners and stakeholders regard the added value of co-creation for social innovation in EU projects that that aim for social innovation?Key conceptsThe research will focus on the interplay between the two main concepts a) co-creation and b) social innovation. For now, we are using the following working definitions:a) co-creation is a non-linear process that involves multiple actors and stakeholders in the ideation, implementation and assessment of products, services, policies and systems with the aim of improving their efficiency and effectiveness, and the satisfaction of those who take part in the process.b) social innovation is the invention, development and implementation of new ideas with the purpose to (immediately) relieve and (eventually) solve social problems, which are in the long run directed at the social inclusion of individuals, groups or communities.It is clear that both definitions are quite opaque, but also distinguish roughly the same phases (ideation/invention, development, implementation and assessment) and also distinguish different levels (products/services, policies and systems). Both concepts will be studied within the policy framework of the EU, in which a specific value to both concepts has been attributed, mostly because policymakers regard co-creation with universities and end-users almost as a prerequisite for social innovation. Based on preliminary research, EU policies seem to define social innovation in close reation with ‘societal impact’, which could defined as: “the long lasting effect of an activity on society, because it is aimed at solving social problems”, and therefore in this specific context social innovation seems to encompasses societal impact. For now, I will use this working definition of social innovation and will closely look at the entanglement with impact in the first outlined paper.MethodologyIn general, I will use a qualitative mixed method approach and grounded theory to answer the main research question (mRQ). In order to better understand the added value of co-creation for social innovation in an EU policy setting, the research will:SubRQ1) start with an analysis of academic literature on co-creation and social impact. This analysis will be followed by and confronted with an analysis of EU policy documents. SubRQ2) use a qualitative data analysis at nineteen EU funded projects to understand how co-creation is envisoned within social innovation projects by using the quintuple helix approach (knowledge flows between partners and stakeholders in an EU setting) and the proposed social innovation journey model. By contrasting the findings from the QDA phase of the project with other research on social innovation we will be able to find arachetypes of social innovation in relation with the (perceived) added value of co-creation within social innovation. SubRQ3) These archetypes will be used to understand the process of co-creation for social innovation by looking closely at behavioural interactions within two social innovation projects. This close examination will be carried out by carrying out interviews with key stakeholders and partners and participant observation.SubRQ4) The archetypes will also be used to understand the perceived added value by looking closely at behavioural interactions within two social innovation projects. This close examination will be carried out by carrying out interviews with key stakeholders and partners and participant observation.ImpactThe project will contribute to a better understanding of the relationship between co-creation and social innovation on different levels:a) Theoretical: the research will analyse the concepts of co-creation and social innovation in relation to each other by looking at the origins of the concepts, the adaptation in different fields and the uptake within EU policies;b) Methodological: a model will be developed to study and understand the non-lineair process of co-creation within social innovation, by focusing on social innovation pathways and social innovation strategies within a quintuple helix setting (i) academia, ii) enterprises and iii) governments that work together to improve iv) society in an v) EU setting);c) Empirical: the project will (for the first time) collect data on behavioural interactions and the satisfaction levels of these interactions between stakeholders and partners in an EU project.d) Societal: the results of the research could be used to optimize the support for social innovation projects and also for the development of specific funding calls.
DISTENDER will provide integrated strategies by building a methodological framework that guide the integration of climate change(CC) adaptation and mitigation strategies through participatory approaches in ways that respond to the impacts and risks of climatechange (CC), supported by quantitative and qualitative analysis that facilitates the understanding of interactions, synergies and tradeoffs.Holistic approaches to mitigation and adaptation must be tailored to the context-specific situation and this requires a flexibleand participatory planning process to ensure legitimate and salient action, carried out by all important stakeholders. DISTENDER willdevelop a set of multi-driver qualitative and quantitative socio-economic-climate scenarios through a facilitated participatory processthat integrates bottom-up knowledge and locally-relevant drivers with top-down information from the global European SharedSocioeconomic Pathways (SSPs) and downscaled Representative Concentration Pathways (RCPs) from IPCC. A cross-sectorial andmulti-scale impact assessment modelling toolkit will be developed to analyse the complex interactions over multiple sectors,including an economic evaluation framework. The economic impact of the different efforts will be analyse, including damage claimsettlement and how do sectoral activity patterns change under various scenarios considering indirect and cascading effects. It is aninnovative project combining three key concepts: cross-scale, integration/harmonization and robustness checking. DISTENDER willfollow a pragmatic approach applying methodologies and toolkits across a range of European case studies (six core case studies andfive followers) that reflect a cross-section of the challenges posed by CC adaptation and mitigation. The knowledge generated byDISTENDER will be offered by a Decision Support System (DSS) which will include guidelines, manuals, easy-to-use tools andexperiences from the application of the cases studies.
