Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
22
datasets available to search
ShareScore release 0.9.0
Dataset results
22 results for “practitioner survey”
Results from surveys to trainees participating into enriched sessions with practitioners
<p><strong>BACKGROUND:</strong></p> <p>The presented data was obtained during the implementation of the European project, DISCOVERY LEARNING. DISCOVERY LEARNING aims at experimenting towards a participatory, empowered and evolutionary work-based learning in PhD programmes for effectively training <strong>transferable skills</strong> related to Open Science and Innovation, achieving replicable and sustainable results over time. The ultimate goal was to establish a set of<strong> knowledge performance indicators (KPIs) about what works in doctoral education for training a set of transferable skills. </strong>If you want to get more information on the project, please click here:<strong> <a href="https://discoverylearning.eu/">https://discoverylearning.eu/</a> </strong></p> <p>At the level of <strong>pedagogical model</strong>, the chosen paradigm was the so-called <strong>Personalized Learning, </strong>which adjusts not only to the characteristics and needs of each student (adapting the pace and methodology), but also takes into account their particular preferences and interests (so that the student influences and actively participates in the definition of its objectives and in the selection of contents, as well as in the ways of demonstrating learning) (Looi et al., 2009).</p> <p>Within this double focus into transferable skills (related to open science and innovation) and the implementation of personalized learning mechanisms, the main experimental areas during the project were the following:</p> <ol> <li>Involving practitioners</li> <li>Making use of gamification</li> <li>Implementing real work-based learning</li> </ol> <p>On the basis of the above and as the result of a joint reflection process amongst partners, DISCOVERY LEARNING has formulated the following hypothesis:</p> <p><em>-If specific / punctual enriched activities by practitioners are inserted within the training programme, then:</em></p> <ul> <li><em>The level of engagement and performance improves significantly </em></li> <li><em> Institutions can train more students in transferable skills related to open science and innovation. </em></li> </ul> <p>In order to test and verify the above hypothesis, it has been decided to carry out a series of experimentation protocols (online and off-line trainings on a number of science & technology trends related to transferable skills) with early-stage researchers that can measure their applicability and reproducibility of our hypothesis over time. If you want to know more about the project results, please click here: <a href="https://discoverylearning.eu/results/traininglearning-options/dl-resources">https://discoverylearning.eu/results/traininglearning-options/dl-resources</a></p> <p><strong>METHODS:</strong></p> <p>We have designed an ad-hoc survey to gather relevant information from the participants of these experimentation protocols. These surveys will happen before and after the trainings.</p> <p>The following section show the surveys being used presently within the project to ask trainees around the aforementioned hypothesis. This survey has been refined in relation to the lessons learnt during stage 1 of the project’ experimentation strategy. For launching them, a professional software that allows optimising the design and User Experience, as well as managing the data gathered, was being used (<a href="https://app.surveyanyplace.com/">https://app.surveyanyplace.com/</a>)</p> <p> </p> <p><strong>• STATISTICAL INFORMATION GATHERED (general information):</strong></p> <p><strong>-Title: </strong>Surveys to trainees participating into enriched sessions with practitioners</p> <p><strong>-Method:</strong> Survey questions will incorporate Likert scale questions, multiple choice and free text answers.</p> <p><strong>-General information</strong>: Gender (optional), country, age range, discipline, internet connectivity and type and ownership of the device being used, language, institution.</p> <p><strong>-Information about the training in which the person is to participate / has participated:</strong></p> <p>Title and date. Unless desired different by the participant, the survey is anonymous.</p> <p><strong>-Period of surveying</strong>: 22.10.2021-19.03.2022</p> <p><strong>-Responsible person</strong>: Eva García Muntión (RTDI)</p> <p><strong><em>Terms of use:</em></strong> These data are provided "as is", without any warranties of any kind. The data are provided under the Creative Commons Attribution 4.0 International license.</p> <p><strong><em>Funding:</em></strong><em> This project has received funding from the Research and Innovation framework Horizon 2020 of the European Union under grant agreement nº 101006452.</em></p> <p><br> </p>
Head and dental injuries among farriers and hoof care practitioners: a nationwide survey in Switzerland (dataset)
<p>(1) Data on occupational head/face and dental injuries gathered in a questionnaire-based, voluntary survey, which was mailed to farriers and hoof care practitioners in Switzerland.</p> <p>(2) Data of the Swiss National Accident Insurance Fund on recognized occupational injuries of farriers in the time window 2015-2019 (Klasse 11c AOK, DM03, Ergebnisse aus dem Versicherungsbetrieb der Suva, VTS-ID 25268 2020). </p>
How does parenthood affect an ICT practitioner's work? A survey study with fathers
<p>Context: Many studies have investigated the perception of software development teams about gender bias, inclusion policies, and the impact of remote work on productivity. The studies indicate that mothers and fathers working in the software industry had to reconcile homework, work activities, and child care. </p> <p>Goal: This study investigates the impact of parenthood on Information and Communications Technology (ICT) and how the fathers perceive the mothers' challenges. Recognizing their difficulties and knowing the mothers' challenges can be the first step towards making the work environment friendlier for everyone.</p> <p>Method: We surveyed 155 fathers from industry and academia from 10 different countries, however, most of the respondents are from Brazil (92.3%). Data was analyzed quantitatively and qualitatively. We employed Grounded Theory to identify factors related to (i) paternity leave, (ii) working time after paternity, (iii) childcare-related activities, (iv) prejudice at work after paternity, (v) fathers' perception of prejudice against mothers, (vi) challenges and difficulties in paternity. </p> <p>Results: In general, fathers do not suffer harassment or prejudice at work for being fathers. However, they perceive that mothers suffer distrust in the workplace and live with work overload because they have to dedicate themselves to many activities. They also suggested actions to mitigate parents' difficulties. </p> <p>Conclusions: Despite some fathers wanting to participate more in taking care of their children, others do not even recognize the difficulties that mothers can face in the work. Therefore, it is important to explore the problems and implement actions to build a more parent-friendly work environment.</p> <p>Keywords: Information and Communications Technology; Paternity Challenges; Paternity Suggestions.</p>
DFPulse: The 2024 Digital Forensic Practitioner Survey (Response Dataset)
<h2><strong>Information given to survey respondents:</strong></h2> <p><strong>Introduction</strong></p> <p>The aim of this survey is to improve the relevance of academic work to practitioners, and to improve the flow of information between the digital forensic researcher and practitioner communities.</p> <p>This survey consists of three sections: </p> <p>* demographics (19 questions)</p> <p>* the challenges you face (20 questions), </p> <p>* engagement with academia (11 questions, optional). </p> <p>If you wish, you can stop and submit at the end of Section 2 the responses that you've given in Sections 1 and 2. We estimate that completing as far as the end of Section 2 will take approximately 20-25 mins, and the full survey approximately 30 minutes.</p> <p>We appreciate that your time is extremely valuable, but we hope to use this survey to direct academic research to be of maximum value to you. We would really appreciate you giving up some of your time to provide input to this survey to help make digital forensic research more relevant to you, and to help us communicate the results of that research more effectively to you.</p> <p><strong>Who is conducting this?</strong></p> <p>This survey is being conducted by Assoc. Prof. Mark Scanlon in the School of Computer Science, University College Dublin, Ireland. The title of this research is “Exploring the issues faced by digital forensic practitioners and identifying the relationship between academic research and digital forensic practice”. There are five collaborators on the project:</p> <p>Assoc. Prof. Frank Breitinger, School of Criminal Justice, University of Lausanne, Switzerland.<br>Dr. Liz Dowthwaite, School of Computer Science, University of Nottingham, United Kingdom.<br>Dr. Chris Hargreaves, Department of Computer Science, University of Oxford, United Kingdom.<br>Assoc. Prof. Mark Scanlon, School of Computer Science, University College Dublin, Ireland.<br>Dr. Helena Webb, School of Computer Science, University of Nottingham, United Kingdom.</p> <p><strong>What is this research about?</strong></p> <p>Exploring the status quo of (academic) research and digital forensic practitioners, i.e., has the research an impact on the practitioners. These also includes exploring if/how practitioners follow academic output/venues.</p> <p><strong>Why are we do</strong><strong>ing this research?</strong></p> <p>To better understand the needs of practitioners and to explore the interaction between digital forensic practitioners and researchers.</p> <p><strong>How will your data be used?</strong></p> <p>Responses will be discussed among the study authors. Most relevant findings will be summarised in a research article and the anonymous responses will be shared with the community.</p> <p><strong>What will happen if you decide to take part in this research study?</strong></p> <p>This anonymous online survey will take you approximately 30 minutes to complete.</p> <p><strong>How will we protect your privacy?</strong></p> <p>The responses given to the survey are anonymous, with no uniquely identifiable information recorded.</p> <p><strong>What are the benefits of taking part in this research study?</strong></p> <p>Taking part in this survey will enable you to inform future digital forensic research directions. The results of the survey will be disseminated with the digital forensic research community.</p> <p><strong>What are the risks of taking part in this research study?</strong></p> <p>The risks in taking part in the survey are negligible as all data collection is anonymous.</p> <p><strong>Can I change my mind at any stage and withdraw from the study?</strong></p> <p>During the completion of the survey, you can withdraw at any time. You can withdraw by closing the window and/or simply not submitting your responses on the last page of the survey. Partially completed surveys will not be retained. After your response is submitted, it cannot be subsequently withdrawn, as your response is anonymous.</p> <p><strong>How will I find out what happens with this project?</strong></p> <p>The intention is that the insights gained from this survey will be disseminated through common academic channels including any/all of the following: journal article or conference paper publication, poster publication, preprint publication, data sharing, conference presentation, classroom sharing, and/or informing future research directions.</p>
Migration to the EU: a survey of first-line practitioners during COVID-19
<p>This data base was created from responses to a survey designed and carried out by the project PERCEPTIONS, a European Union Horizon 2020 funded project (Grant Agreement No. 833870). The project examined <strong>how Europe and the EU are seen by people who have immigrated there or intend to do so.</strong> It examined what perceptions of Europe exist among migrants, refugees and asylum seekers, how they are formed, whether they correspond to reality and how they influence migration decisions. It also examined how the flow of information could be distorted and whether inaccurate information could lead to a threat to the security of migrants (e.g. through dangerous border crossings) or even national security (e.g. through radicalisation).</p> <p>The survey was carried out with <strong>first-line practitioners, defined as professionals who have contact with migrants in their work</strong>. It was distributed between October and December 2022 and received 788 responses. Participants could take the survey in 11 languages (Albanian, Arabic, Bulgarian, Dutch, English, French, German, Greek, Italian, Romanian and Spanish) and responses were received from 17 different countries (Austria, Algeria, Belgium, Bulgaria, Cyprus, Egypt, France, Germany, Greece, Italy, Kosovo, Lithuania, The Netherlands, Serbia, Spain, Tunisia, and the United Kingdom). </p> <p>The survey aimed to explore <strong>perceptions of Europe </strong>that first-line practitioners observe<strong> among migrants, </strong>how practitioners believe<strong> inaccurate information may influence migration, </strong>and the <strong>impacts of COVID-19 </strong>on the field of migration-related work.</p> <p>A report summarising the results of the survey can be accessed <a href="https://project.perceptions.eu/wp-content/uploads/sites/24/2021/09/PERCEPTIONS-Report-A4-Migration-to-the-EU-A-survey-of-first-line-practitioners-perceptions-during-the-COVID-19-pandemic.pdf">here</a>. </p>
Best practices and ICT tools in migration-related work: a survey of first-line practitioners
<p>This data base was created from responses to a survey designed and carried out by the project PERCEPTIONS, a European Union Horizon 2020 funded project (Grant Agreement No. 833870). The project examined <strong>how Europe and the EU are seen by people who have immigrated there or intend to do so.</strong> It examined what perceptions of Europe exist among migrants, refugees and asylum seekers, how they are formed, whether they correspond to reality and how they influence migration decisions. It also examined how the flow of information could be distorted and whether inaccurate information could lead to a threat to the security of migrants (e.g. through dangerous border crossings) or even national security (e.g. through radicalisation).</p> <p>The survey was carried out with first-line practitioners, defined as professionals who have contact with migrants in their work. It was distributed between March and April 2022 and received 755 responses. Participants could take the survey in 10 languages (Albanian, Arabic, Bulgarian, Dutch, English, French, German, Greek, Italian, and Spanish) and responses were received from 17 different countries (Albania, Algeria, Andorra, Austria, Belgium, Bulgaria, Cyprus, Egypt, Germany, Greece, Italy, Kosovo, Latvia, the Netherlands, Spain, Tunisia, and the United Kingdom).</p> <p>The survey aimed to investigate practitioners’ assessments of best practices in migration-related work. More specifically, practitioners were asked to share their attitudes toward potential strategies for addressing the issue of misinformation amongst migrants and criteria through which to assess the success of potential best practices, as well as their evaluations of existing Information Communication Technology (ICT) tools in migration-related work.</p> <p>A report summarising the results of the survey can be accessed <a href="https://www.perceptions.eu/wp-content/uploads/2022/08/PERCEPTIONS-Report-A4-Best-practices-and-ICT-tools-in-migration-related-work-1.0.pdf">here</a>. </p>
Continuous Development of AI: a Practitioners' Survey
<p>The upload contains a raw dataset with the survey questions and a data analysis file as an appendix of the paper "Continuous Development of AI: a Practitioners Survey".</p>
Community survey among science communication practitioners in Germany (2023)
<p>This dataset contains fully anonymized responses to an online survey conducted among German science communication practitioners (N = 103) concerning general science communication (formats, goals, target groups) but also focusing on the specific issue of evaluation in science communication. The survey was in the field from November 13 to December 14, 2023. Sampling was purposive, science communication practitioners were contacted via newsletters, mailing lists, at conferences and with the help of specific social media channels and hashtags. The survey consists of 24 questions, including multiple choice, Likert type questions and open ended questions. The survey is based on a survey from 2019, with partial adjustments in the instruments, to which <a href="../records/4608091">the dataset is also available on Zenodo</a>. It is important to note that the participants of the survey are of the same target group, but it is not the same sample.</p> <p>Questions focused on the survey participants’ conduct of science communication, most frequent formats, goals and target groups but also on their experience with science communication evaluation and their perceptions of it. A detailed description of the variables and the coding can be found in the dataset. The survey was conducted in German and it should be noted that the original data is only available in German.</p> <p>Results of the study included more detailed information on sampling were published on the website of Wissenschaft im Dialog (WiD), the organization conducting the survey and can be found in<a href="https://impactunit.de/wp-content/uploads/2024/04/WiD_ImpactUnit_CommunityBefragung2023.pdf"> German</a> and<a href="https://impactunit.de/wp-content/uploads/2024/04/WiD_ImpactUnit_CommunitySurvey2023.pdf"> English</a>.</p> <p> </p>
Data from: Female genital cosmetic surgery: a cross-sectional survey exploring knowledge, attitude and practice of general practitioners
Objective To explore general practitioner's (GP) knowledge, attitudes and practice regarding female genital cosmetic surgery (FGCS) in Australia. Design Cross-sectional survey. Setting Australia. Sample GPs who attended a women's health seminar and GPs who subscribed to a non-governmental, national health professional organisation database that provides education to primary care professionals. Method A national online survey of GPs was conducted for the 10-week period, starting 1 week prior and 2 months after a Women's Health seminar was held in Perth on 8 August 2015. 31 questions prompted GPs' knowledge, attitudes and practice in managing patients asking about FGCS. Results The survey was fully completed by 443 GPs; 54% had seen patients requesting FGCS. Overall, 75% (95% CI 71% to 79%) of GPs rated their knowledge of FGCS as inadequate and 97% (95% CI 94% to 99%) had been asked by women of all ages about genital normality. Of those who had seen patients requesting FGCS, nearly half (44%, 95% CI 38% to 51%) reported they had insufficient knowledge of risks of FGCS procedures and 35% (95% CI 29% to 41%) reported seeing females younger than 18 years of age requesting FGCS. Just over half (56%, 95% CI 51% to 60%) of the GPs felt that women should be counselled before making a referral for FGCS. More than half the GPs suspected psychological disturbances in their patients requesting FGCS such as depression, anxiety, relationship difficulties and body dysmorphic disorder. Conclusions GPs see women of all ages presenting with genital anatomy concerns and in those who request FGCS, GPs often suspected a range of mental health difficulties. GPs require greater education to support their patients who request FGCS.
Dataset of the Paper: Demystifying Code Snippets in Code Reviews: A Study of the OpenStack and Qt Communities and A Practitioner Survey
<p>This dataset, which is composed of two parts: the code review data collected from OpenStack and Qt, and the survey data collected from industrial developers, was used to conduct an empirical study on code snippets in code reviews. A brief description of each part of the dataset is provided below:</p> <p><strong>1. Dataset (OpenStack+Qt).xlsx</strong></p> <p>contains 127,182 review comments mined from four popular projects of the OpenStack community (Nova and Neutron) and the Qt community (Qt Base and Qt Creator) from 2020 to 2021. Among the review comments, 3,197 review comments contain code snippets. In the Excel file, for the rows of review comments with code snippets, we marked the code snippets in red color as an indicator.</p> <p><strong>2. Dataset (Survey).xlsx</strong></p> <p>contains 63 valid responses to our survey questionnaire from industrial developers of OpenStack, Qt, and LinkedIn.</p>
Software Engineers Engagement and Job Satisfaction: A Survey with Practitioners Working Remotely in a Public Organization - Supplementary material
Open the record for dataset details and reuse information.
Raw Data of the Survey on the Practitioners' Perspectives towards Requirements Engineering
<p>Here, we present the necessary files for our survey conducted among practitioners from diverse profiles with the purpose of understanding practitioners' perspectives towards the requirements engineering.</p>
Raw Data of the Survey on Practitioners' Perspectives on Using & Developing Digital Twin Systems
<p>Here, we present the documents regarding our survey on understanding practitioners' perspectives on using & developing digital twin systems. Our survey has attracted 131 participants from diverse industries. Here, we attached the survey questions and the raw data for the survey responses. </p>
Data from: Female genital cosmetic surgery: a cross-sectional survey exploring knowledge, attitude and practice of general practitioners
Open the record for dataset details and reuse information.
Exploring Data Management Challenges and Solutions in Agile Software Development: A Literature Review and Practitioner Survey
<p>This comprehensive dataset for the Systematic Literature Review (SLR) and the survey responses on "Exploring Data Management Challenges and Solutions in Agile Software Development: A Literature Review and Practitioner Survey" contains detailed information on selected studies in the SLR. It features research titles, abstracts, keywords, and authors, along with Scopus-extracted details. The dataset encompasses various data types, such as business, product, process, project, and operational, and details the distribution of these studies across major data management aspects, including integration, collection, quality, and analysis. Additionally, the dataset offers insights into the quality assessment of these studies and covers other data management aspects, providing definitions, challenges, and solutions. Furthermore, it includes studies used for search validation, presenting a comprehensive overview of the distribution of study years across different data management aspects. Additionally, the survey participants' responses (with any personal information redacted or masked) are included.</p>
National Survey Among Egyptian Pain Practitioners
ClinicalTrials.gov study NCT04946175. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Clinical Situations Leading to the Prescription of Neuroleptics by General Practitioner in the Elderly. Practice Survey
ClinicalTrials.gov study NCT03116100. IPD Sharing: Not stated. Countries: 1. Publications: 0.
National Survey on Hypertension in General Practitioner (GP) Consultation
ClinicalTrials.gov study NCT00695656. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Usage of Skeletal Muscle Relaxants Survey Among Egyptian Dental Practitioners
ClinicalTrials.gov study NCT04747743. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Raw Data of the Survey on the Practitioners' Expectations from the Meta-modeling Tools
<p>Here, the survey questions and the answers of 103 different participants can be found. </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.