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.
DOCUMENT
In this paper we present the first freely available corpus of Dutch text messages containing data originating from the Netherlands and Flanders. This corpus has been collected in the framework of the SoNaR project and constitutes a viable part of this 500-million-word corpus. About 53,000 text messages were collected on a large scale, based on voluntary donations. These messages will be distributed as such. In this paper we focus on the data collection processes involved and after studying the effect of media coverage we show that especially free publicity in newspapers and on social media networks results in more contributions. All SMS are provided with metadata information. Looking at the composition of the corpus, it becomes visible that a small number of people have contributed a large amount of data, in total 272 people have contributed to the corpus during three months. The number of women contributing to the corpus is larger than the number of men, but male contributors submitted larger amounts of data. This corpus will be of paramount importance for sociolinguistic research and normalisation studies.
DOCUMENT
Over the past few years, there has been an explosion of data science as a profession and an academic field. The increasing impact and societal relevance of data science is accompanied by important questions that reflect this development: how can data science become more responsible and accountable while also responding to key challenges such as bias, fairness, and transparency in a rigorous and systematic manner? This Patterns special collection has brought together research and perspective from academia, the public and the private sector, showcasing original research articles and perspectives pertaining to responsible and accountable data science.
MULTIFILE
In this project we take a look at the laws and regulations surrounding data collection using sensors in assistive technology and the literature on concerns of people about this technology. We also look into the Smart Teddy device and how it operates. An analysis required by the General Data Protection Regulation (GDPR) [5] will reveal the risks in terms of privacy and security in this project and how to mitigate them. https://nl.linkedin.com/in/haniers
MULTIFILE
Like a marker pen on a map, the Covid-19 pandemic drastically highlighted the persisting existence of borders that used to play an ever decreasing role in people´s perception and behavior over the last decades. Yes, inner European borders are open in normal times. Yes, people, goods, services and ideas are crossing the border between Germany and the Netherlands freely. Yet we see that the border can turn into a barrier again quickly and effectively and it does so in many dimensions, some of them being not easily visible. Barriers hinder growth, development and exchange and in spite of our progress in creating a borderless Europe, borders still create barriers in many domains. Differing labor law, social security and tax systems, heterogeneous education models, small and big cultural differences, language barriers and more can impose severe limitations on people and businesses as they cross the border to travel, shop, work, hire, produce, buy, sell, study and research. Borders are of all times and will therefore always exist. But as they did so for a long time, huge opportunities can be found in overcoming the barriers they create. The border must not necessarily be a dividing line between two systems. It has the potential to become a center of growth and progress that build on joint efforts, cross-border cooperation, mutual learning and healthy competition. Developing this inherent potential of border regions asks for politics, businesses and research & education on both sides of the border to work together. The research group Cross-Border Business Development at Fontys University of Applied Science in Venlo conducts applied research on the impact of the national border on people and businesses in the Dutch-German border area. Students, employees, border commuters, entrepreneurs and employers all face opportunities as well as challenges due to the border. In collaboration with these stakeholders, the research chair aims to create knowledge and provide solutions towards a Dutch-German labor market, an innovative Dutch-German borderland and a futureproof Cross-Border economic ecosystem. This collection is not about the borderland in times of COVID-19. Giving meaning to the borderland is an ongoing process that started long before the pandemic and will continue far beyond. The links that have been established across the border and those that will in the future are multifaceted and so are the topics in this collection. Vincent Pijnenburg outlines a broader and introductory perspective on the dynamics in the Dutch-German borderland.. Carla Arts observes shopping behavior of cross-border consumers in the Euregion Rhine-Meuse-North. Jan Lucas explores the interdependencies of the Dutch and German economies. Jean Louis Steevensz presents a cross-border co-creation servitization project between a Dutch supplier and a German customer. Vincent Pijnenburg and Patrick Szillat analyze the exitence of clusters in the Dutch-German borderland. Christina Masch and Janina Ulrich provide research on students job search preferences with a focus on the cross-border labor market. Sonja Floto-Stammen and Natalia Naranjo-Guevara contribute a study of the market for insect-based food in Germany and the Netherlands. Niklas Meisel investigates the differences in the German and Dutch response to the Covid-19 crisis. Finally, Tolga Yildiz and Patrick Szillat show differences in product-orientation and customer-orientation between Dutch and German small and medium sized companies. This collection shows how rich and different the links across the border are and how manifold the perspectives and fields for a cross-border approach to regional development can be. This publication is as well an invitation. Grasping the opportunities that the border location entails requires cooperation across professional fields and scientific disciplines, between politics, business and researchers. It needs the contact with and the contribution of the people in the region. So do what we strive for with our cross-border research agenda: connect!
DOCUMENT
Locative mapping with smartphones is the process of collecting geo data using mobile applications that tells something about a place, based on user input. Results are typically visualized using maps. Usually when such data is collected, the researcher is interested in more than just the location of a person. Perhaps the researcher would like to ask some questions, add a photo or make a voice recording. Questions such as what types of data you want to collect and with whom greatly influence how to design this data collection process. In this HowTo we aim to guide you through such a process and help you make the best decision what software is best for your project. We further elaborate on how such a data collection process can be paired with participatory methods to get a deeper level of understanding of the data collected.
DOCUMENT
Het gebruik van data voor het inrichten en optimaliseren van dagelijkse- en bedrijfsprocessen heeft een enorme vlucht genomen. Het doel van het gebruik van data is om betere beslissingen te nemen, verbeterde, gepersonaliseerde services aan te bieden of beter inzicht te krijgen.
DOCUMENT
The Technical Manual for the digital evaluation tool QualiTePE supports users of the QualiTePE tool in creating, conducting and analysing evaluations to record the quality of teaching in physical education. The information on the General Data Protection Regulation (GDPR) instructs users on how to anonymise the data collection of evaluations and which legal bases apply with regard to the collection of personal data. The technical manual for the digital evaluation tool QualiTePE and the information on the General Data Protection Regulation (GDPR) are available in English, German, French, Italian, Spanish, Dutch, Swedish, Slovenian, Czech and Greek.
DOCUMENT
Het project van Aeres Hogeschool Dronten heeft als doel om via het delen en analyseren van telersdata binnen een groep van dertien telers te komen tot nieuwe inzichten, betere bedrijfsvoering en efficiëntere ketens, gericht op economische en ecologische duurzaamheid. Hiervoor wordt een data-infrastructuur gerealiseerd waarmee telers gefaciliteerd worden in het verzamelen, delen en analyseren van data en toegang krijgen tot complexere analyse technieken. Het project beoogt een groep telers op te leiden om de infrastructuur en tools te gebruiken en gezamenlijk data te delen en te analyseren om de teelt te verbeteren. Aan het einde van het project worden concrete verbeteringen verwacht op het gebied van input en opbrengst in de aardappelteelt.Het project richtte zich op het onderzoeken van hoe data van agrarische ondernemers in Flevoland gebruikt en gedeeld kan worden om economische en ecologische verbeteringen te bereiken. De landbouwsector verzamelt steeds meer gegevens over variabelen die de groei en bewaring van gewassen beïnvloeden, waarmee de benadering van landbouw verduurzaamd kan worden. Echter, het gebruik van data staat nog in de kinderschoenen en beslissingen worden vaak genomen op basis van advisering van externe commerciële partijen. Het delen van data is ook nog gevoelige materie. Het project wil deze drempels verlagen door telers meer data onderling te laten uitwisselen en met partners in de keten.De data-infrastructuur wordt gerealiseerd voor een groep van 15-20 telers die bereid zijn teelt- en/of bewaarsturing te doen op basis van beschikbare object-specifieke en actuele data. De data kunnen met elkaar gedeeld worden en zo kunnen de bedrijven verbeterd worden. De telers krijgen via de infrastructuur toegang tot complexere analyse technieken. Het project is opgedeeld in drie groepen op basis van locatie in de provincie: een groep telers rond een pilot bedrijf in Dronten, een groep rond een pilot bedrijf in Swifterbant en een groep in de NOP.De drie pilot bedrijven hebben aan het begin van het project een inventarisatie gedaan op basis van een door Aeres opgestelde vragenlijst om inzicht te krijgen in de minimale beschikbare data voor deelname aan het project. De meeste gevraagde data zijn reeds beschikbaar, behalve bij het pilot bedrijf in de NOP. De ontbrekende data kunnen worden opgevraagd bij lokale weerstations of in het project door projectpartners worden gerealiseerd.In de agrarische sector komt het vaak voor dat er ontbrekende data zijn over de factoren die bijdragen aan mislukkingen in de precisielandbouw. Dit komt doordat er vaak wordt gedacht in termen van wat wel werkt, in plaats van wat niet werkt. Een manier om dit tegen te gaan is door bewust te zijn van de ontbrekende data en deze proactief op te zoeken. Dit kan bijvoorbeeld door onderzoek te doen naar de milieu-impact van landbouw.Door dit project is beter inzicht verkregen in de effectiviteit van inputs alsmede met betrekking tot de impact op de omgeving. De volgende verbeteringen zijn gerealiseerd:• Beter inzicht in timing van teelthandelingen waardoor de bodem wordt ontzien.• Beter inzicht in effecten van teeltrotaties waardoor gekozen kan worden voor rotaties met minder impact en toch goede financiële resultaten behaald worden.• Door vergelijking kan er effectiever omgegaan worden met inputs zoals mest en gewasbeschermingsmiddelen waardoor naast minder gebruik ook minder af- en uitspoeling zal plaatsvinden.• Door effectiever gebruik van inputs zal per kg geproduceerde aardappelen minder oppervlakte, energie en chemie nodig zijn.Trefwoorden: digitalisering boerenbedrijf, data, pop3, databoeren, precisielandbouw RVO zaaknummer: 17717000042
DOCUMENT
The Sport Empowers Disabled Youth 2 (SEDY2) project encourages inclusion and equal opportunities in sport for youth with a disability by raising their sports and exercise participation in inclusive settings. The SEDY2 Collection of Inclusion Best Practices report contains good examples of inclusion on youth with a disability in sport at the community and institutional level. This report includes a detailed description of the process of building and using the SEDY2 approach for collection international best practices in sport, the criteria and template used to collect the SEDY2 best practices and the list of SEDY2 international best practices on inclusion in sport for youth with a disability.
DOCUMENT
