Summary of network visualisation tools commonly used for the analysis of biological data.

• Semi-structured interview guideline
• 7 anonomized Interview datasets with nine bioeconomy hubs of the RuralBioUp project
• transcript videos of RuralBioUp hubs
• graph on materials used for qualitative analysis

Qualitative data gathered from interviews that were conducted with case organisations. The data is analysed using a qualitative data analysis tool (AtlasTi) to code and generate network diagrams. Software such as Atlas.ti 8 Windows will be a great advantage to use in order to view these results. Interviews were conducted with four case organisations. The details of the responses from the respondents from case organisations are captured. The data gathered during the interview sessions is captured in a tabular form and graphs were also created to identify trends. Also in this study is desktop review of the case organisations that formed part of the study. The desktop study was done using published annual reports over a period of more than seven years. The analysis was done given the scope of the project and its constructs.

Background: Data derived from wearable activity trackers may provide important clinical insights into disease progression and response to intervention, but only if clinicians can interpret it in a meaningful manner. Longitudinal activity data can be visually presented in multiple ways, but research has failed to explore how clinicians interact with and interpret these visualisations. In response, this study developed a variety of visualisations to understand whether alternative data presentation strategies can provide clinicians with meaningful insights into patient’s physical activity patterns. Objective: To explore clinicians’ opinions on different visualisations of actigraphy data. Methods: Four visualisations (stacked bar chart, clustered bar chart, linear heatmap and radial heatmap) were created using Matplotlib and Seaborn Python libraries. A focus group was conducted with 14 clinicians across 2 hospitals. Focus groups were audio-recorded, transcribed and analysed using inductive thematic analysis. Results: Three major themes were identified: (1) the importance of context, (2) interpreting the visualisations and (3) applying visualisations to clinical practice. Although clinicians saw the potential value in the visualisations, they expressed a need for further contextual information to gain clinical benefits from them. Allied health professionals preferred more granular, temporal information compared to doctors. Specifically, physiotherapists favoured heatmaps, whereas the remaining members of the team favoured stacked bar charts. Overall, heatmaps were considered more difficult to interpret. Conclusion: The current lack of contextual data provided by wearables hampers their use in clinical practice. Clinicians favour data presented in a familiar format and yet desire multi-faceted filtering. Future research should implement user-centred design processes to identify ways in which all clinical needs can be met, potentially using an interactive system that caters for multiple levels of granularity. Irrespective of how data is displayed, unless clinicians can apply it in a manner that best supports their role, the potential of this data cannot be fully realised.

Dataset containing supplemental material for the publication "2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualizations in Virtual Reality" This dataset contains: 1) archive containing all raw quantitative results, 2) archive containing all raw qualitative data, 3) archive containing the graphs used for the experiment (.graphml file format), 4) the code to generate the graph library (C++ files using OGDF), 5) a PDF document containing detailed results (with p-values and more charts), 6) a video showing the experimentation from a participant's point of view. 7) complete graph library generated by our graph generator for the experiment

Techsalerator has access to some of the most qualitative B2C data in the Netherlands.

Thanks to our unique tools and data specialists, we can select the ideal targeted dataset based on unique elements such as the location/ country, gender, age...

Whether you are looking for an entire fill install, an access to one of our API's or if you only need a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

Network of 43 papers and 65 citation links related to "Social media as a data gathering tool for international business qualitative research: opportunities and challenges".

This file contains the data and code to reproduce the results from the paper "Reasoning over higher-order qualitative spatial relations via spatially explicit neural network". Instructions of running the code can be found at README.txt

Abstract of the paper: Qualitative spatial reasoning has been a core research topic in GIScience and AI for decades. It has been adopted in a wide range of applications such as wayfinding, question answering, and robotics. Most developed spatial inference engines use symbolic representation and reasoning, which focuses on small and densely connected data sets, and struggles to deal with noise and vagueness. However, with more sensors becoming available, reasoning over spatial relations on large-scale and noisy geospatial data sets requires more robust alternatives. This paper, therefore, proposes a subsymbolic approach using neural networks to facilitate qualitative spatial reasoning. More specifically, we focus on higher-order spatial relations as those have been largely ignored due to the binary nature of the underlying representations, e.g., knowledge graphs. We specifically explore the use of neural networks to reason over ternary projective relations such as between. We consider multiple types of spatial constraint, including higher-order relatedness and the conceptual neighborhood of ternary projective relations to make the proposed model spatially explicit. We introduce evaluating results demonstrating that the proposed spatially explicit method substantially outperforms existing baseline by about 20%.

Qualitative data collection.

Network of 44 papers and 87 citation links related to "Qualitative analysis of an interrupted electric circuit with spike noise".

Techsalerator has access to some of the most qualitative B2C data in the continent.

Thanks to our unique tools and data specialists, we can select the ideal targeted dataset based on unique elements such as the location/ country, gender, age...

Whether you are looking for an entire fill install, an access to one of our API's or if you only need a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

With close to a 1B records worldwide, Techsalerator has access to some of the most qualitative B2C count Data.

Thanks to our unique tools and data specialists, we can select the ideal targeted dataset based on unique elements such as the location/ country, gender, age...

Whether you are looking for an entire fill install, access to one of our API's or if you are looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

This dataset comprises material related to a PhD thesis on how to equitably involve ordinary people in the design of robots and assistive technology.In Study 1, children with brittle bones and their families had direct contact with contemporary social robots and assistive technology and wrote short stories about how they might want such technologies to feature in their future. This dataset comprises:Study Documentation: Final versions of the documentation for Study 1, as accepted by IRAS (NHS ethics approval). It includes:Assent formConsent formsCultural probe diary templateParticipant information sheetsSemi-structured group discussion topic guidesSliding scale questionnaireSliding Scales Spreadsheet: This file tracks responses to a customised sliding scale regarding anonymised participants' attitudes towards robots after each session, including basic statistical analysis such as the standard deviation.Sliding Scales Responses - Graphs of Mean Averages and Individual Participant Response Trajectories: Graphs made of the response to the customised sliding scales administered in Study 1.Qualitative Data Summary: A summary of qualitative data (verbal utterances and authored short stories), including an overview of generated themes and sub-themes, with example code labels.Study 2 invited the general public to consider possible technology futures through interactive fiction, co-opting the Science Fiction Prototyping methodology for use in Participatory Design by incorporating interactivity. The data comprises:The original, more complex branching narrative of the 'Murder (Most(ly) Forgotten' storySpreadsheet with analysed story playthrough data

The Maine Geological Survey and the USGS coordinate the colletction of snow measurements each winter for the Maine River Flow Advisory Commission's flood prediction report. These measurements are sent to MGS monthly in January and February and weekly in March, April and May as long as there is snow on the ground. The dataset contains all the raw snow survey measurements (depth, water content, density), their locations, data quality and other qualitative comments or observations. These measurements are used to create the snow survey site summary graphs. These graphs show the water content measurements by defined date range for the current year and the complete historical mean, minimum, maximum, and percentiles

The researchers used a three-phased exploratory sequential mixed methodology to develop a quantitative checklist. In phase one, the results from the literature review were jointly displayed with recommendations from another qualitative study to form meta-inferences. The domains were operationalised and jointly displayed to build items for a preliminary qualitative checklist for chest interpretation. The researcher developed a draft survey tool. Phase two comprised a review of the preliminary checklist and survey tool. The checklist was further developed and validated by a panel of nine experts using the Delphi technique. In phase three, the developed quantitative standardisation, communication, image evaluation, and pattern recognition (SCIEPR) checklist, was sent for field testing. A biostatistician validated the survey tool before use. 103 participants (40 radiographers and 63 medical doctors) in district hospitals were recruited to use the SCIEPR checklist in clinical settings. A cross-sectional study design was applied. Purposive sampling was used, and interested participants signed consent. Participants were given four weeks per hospital to use the checklist at least three times before taking part in the three-phase Likert scale survey. The survey validated the checklist's relevance, clarity, and duration to complete. The data from open and closed questions were analysed. Quantitative results were grouped and are presented as percentages in bar graphs. Qualitative data were analysed using content analysis. Codes were grouped into categories, and themes were identified to support the quantitative results.

Brief data overview for study on destination mascots. Keywords: word cloud, clusters, nodes, graphs, codes

Network of 44 papers and 88 citation links related to "Qualitative temporal analysis: Towards a full implementation of the Fault Tree Handbook".

Sketches and diagrams play an important role in the daily work of software developers. In our paper "Sketches and Diagrams in Practice" we present the results of our research on the usage of sketches and diagrams in software engineering practice. We focused especially on their relation to the core elements of a software project, the source code artifacts. Furthermore, we wanted to assess how helpful sketches are for understanding the related source code. We intended to find out if, how, and why sketches and diagrams are archived and are thereby available for future use. Software is created with and for a wide range of stakeholders. Since sketches are often a means for communicating between these stakeholders, we were not only interested in sketches and diagrams created by software developers, but by all software practitioners, including testers, architects, project managers, as well as researchers and consultants. In a survey with 394 software ‘practitioners’, we mainly asked questions about the the last sketch or diagram that they had created. Contrary to our expectations and previous work, the majority of sketches and diagrams contained at least some UML elements. However, most of them were informal. The most common purposes for creating sketches and diagrams were designing, explaining, and understanding, but analyzing requirements was also named often. More than half of the sketches and diagrams were created on analog media like paper or whiteboards and have been revised after creation. Most of them were used for more than a week and were archived. About half of the sketches were rated as helpful to understand the related source code artifact(s) in the future. Our study complements a number of existing studies on the use of sketches and diagrams in software development, which analyzed the above aspects only in parts and often focused on an academic environment, a single company, open source projects, or were limited to a small group of participants.

The questionnaire for the online survey was online from August 28, 2013 until December 31, 2013. Further information on our research design and research questions can be found in the referenced paper. This dataset contains the questionnaire, the data we collected during this survey, and a basic R script that can be used as a starting point for validating our results and further exploring the data. This data set has been reviewed and accepted by the Artifact Evaluation Committee of FSE 2014. Since we assured our participants that their data is handled confidentially, only the quantitative data is directly available here. If you are also interested in the qualitative data from our survey, don’t hesitate to contact the authors.

Network of 43 papers and 72 citation links related to "A Qualitative and Quantitative Analysis of Real Time Traffic Information Providers".

Data for the paper "A Mixed-Methods Framework Combining Directed Acyclic Graphs and Alkire Foster Methodology for Evaluating Participatory Dynamics"Abstract:Effective measurement of citizen participation is crucial for promoting democratic governance, yet traditional approaches often fail to capture its complex, context-specific and causal dynamics. To address these limitations, this paper presents a novel mixed-methods approach that integrates Directed Acyclic Graphs with the Alkire-Foster method. The proposed approach uses qualitative insights, obtained through expert workshops and the construction of directed acyclic graphs, to model the causal relationships that influence the quality of citizen participation. This qualitative understanding then informs the quantitative construction of a multidimensional indicator using the transparent and decomposable Alkire-Foster methodology. Applied to the case study of Medellín, Colombia, using 2023 survey data, the proposed methodology yielded a Multidimensional Participation Index of 0.727 for participating individuals, highlighting the significant contribution of participatory practices and enabling conditions to overall quality. Gender analysis revealed nuanced dimensions of equity, with women having a slightly higher multidimensional participation index than men. This new methodology offers significant advantages over conventional approaches in terms of theoretical grounding, interpretability, context sensitivity and policy relevance. Future research should focus on the validation and refinement of the methodology in different contexts and the further use of directed acyclic graphs for prospective policy impact assessment. By providing a more robust and nuanced measure of citizen participation, this research contributes to advancing both the understanding and practice of democratic and accountable governance.