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Dataset results
29 results for “Training needs”
Supplementary Material for "Advancing quantum technology workforce: industry insights into qualification and training needs" and "Extending the European Competence Framework for Quantum Technologies: new proficiency triangle and qualification profiles"
<p>This is a file collection as supplementary material for the paper <em>Advancing quantum technology workforce: industry insights into qualification and training needs, <a href="https://doi.org/10.1140/epjqt/s40507-024-00294-2">doi 10.1140/epjqt/s40507-024-00294-2</a>.</em> It consists of:</p> <ol> <li>Interview guide: questions and more as guideline for the interviews conducted for the industry needs analysis documented in the publication.</li> <li>Interview transcript extracts: anonymised phrases from the interviews that are given as quotes (in a shortened/liguistically smoothed out form) in the publication as well as further phrases that are refered in the results sections of the publication.</li> <li>Dataset of the follow-up survey</li> </ol> <p>The results of this study were also used to update the <a href="https://doi.org/10.5281/zenodo.10976836" target="_blank" rel="noopener">European Competence Framework for Quantum Technologies Version 2.5</a>, which is documented in <em>Extending the European Competence Framework for Quantum Technologies: new proficiency triangle and qualification profiles, <a href="https://doi.org/10.1140/epjqt/s40507-024-00302-5">doi 10.1140/epjqt/s40507-024-00302-5</a></em>. In an additional sheet, the three draft versions of qualification profile descriptions (v2.1, v2.2, v2.3) are provided.</p>
H2M survey data on commercialisation training needs of Health Researchers
<p>Health-2-Market was a 3-year long Coordination and Support Action, funded by the European Union’s Seventh Framework Programme for research, technological development and demonstration (Grant Agreement No 305532). H2M aimed at providing training and individual support to Health / Life Sciences researchers in the process of translating their research results into successful new business ideas.</p> <p>With a view to properly adapting the training offer of the project to the needs of Health / Life Sciences researchers in terms of entrepreneurship and business skill development a Training Needs Analysis (TNA) was conducted. In this context, H2M launched an online survey targeted at Health / Life Sciences researchers who have been involved in EU health projects. In particular, the objectives of the survey were:</p> <ul> <li>To formulate a descriptive understanding of various aspects of commercialisation and training needs of the main target group of the project;</li> <li>To divide this target group into homogeneous sub-groups (clusters) along a number of key characteristics such as demographics, commercialisation attitudes and needs;</li> <li>To understand preferences and importance of different aspects and needs through the analysis of: <ul> <li>Knowledge areas that can influence commercialisation behaviour;</li> <li>Training modalities that have an effect on the intention to participate and /or on the perception of the usefulness of a commercialisation training;</li> <li>Variations identified over different sub-groups.</li> </ul> </li> </ul> <p>The survey was dispatched to a database composed of 7,991 unique contacts of participants in previous health projects, accessed through the Directorate General for Health and Food Safety of the European Commission. The initial aim of at least 50 complete responses was overwhelmingly surpassed: 637 respondents completed the survey in full.</p> <p>The “H2M survey data on commercialisation training needs of Health Researchers” dataset contains the raw, anonymised data that were collected from these respondents, along with the questionnaire items that were utilised.</p>
MS2Query pre-trained datasets needed for library matching
<p>The models, embeddings, sqlite file with metadata and classifiers identifiers needed for running MS2Query (https://github.com/iomega/ms2query)</p>
Digital Skills and Training Needs of 50+. A Study Beyond the Digital Divide
<p>Anonymized raw data set of a representative study on digital skills and training needs of people 50+ in Switzerland. The telephone interviews were conducted by the market research institute DemoSCOPE in July 2021.</p>
Careers in Science and Healthcare - How changes to medical device regulation have increased training needs
<p>Article contributed to Careers in Science and Healthcare report.</p>
iRECS survey of training needs
<p>Responses to the iRECS project online survey of knowledge gaps and training needs of research ethics committee members and ethics experts</p>
Dataset of use, acceptance, attitude and training needs in active method-ologies of Spanish teachers.
<p>Dataset collected for the purpose of analyzing various aspects related to the implementation of active methodologies (AM) in the educational field in Spain. This dataset includes data on: Use of active methodologies: information on the frequency and the way in which teachers use different active methodologies in their classes, such as cooperative learning, project-based learning, challenge-based learning, among others. Student acceptance: evaluation of how students perceive and respond to active methodologies, observing their willingness to participate and the benefits they consider derived from these methodologies. Teacher attitudes: Teachers' opinions and perceptions about active methodologies, including their effectiveness, advantages, and difficulties in implementing them in the classroom. Training needs: information on teachers' perceptions about the need for training in the use of active methodologies, particularly in emerging areas such as the use of digital technologies in the classroom, and the preparation to implement these strategies more effectively.</p>
Processed data for the paper "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data"
<p>This is the data used to reproduce the results from "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data".</p>
Scatter plots for the paper "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data"
<p>This file contains the test-score-vs-metric plots generated by the paper "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data".</p>
Generalization metrics for the paper "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data"
<p>This file contains all the generalization metrics that can be used to reproduce the results of "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data".</p>
Rank correlation results for the paper "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data"
<p>This file contains the rank correlation results from the paper "Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data".</p>
Multilevel Modeling of Training Needs in Artificial Intelligence
<p>Nowadays, Artificial Intelligence (AI) is playing a rapidly increasing role in several fields of research and in almost all sectors of real life. However, few studies have assessed the effects of AI applications on training needs. This paper proposes an innovative multilevel modeling in order to investigate Awareness, Attitude and Trust towards AI and their reflections on learning needs. In particular, it is shown how a machine learning variable selection algorithm can support the definition of the optimal subset of all relevant covariates with respect to the outcome variable and improve the multilevel model performance for estimating the probability of educational needs. Thus, starting from a complex web survey to European citizens distributed in eight countries, the estimation of a multilevel binary model, defined on the basis of covariates selected through the Boruta random forest algorithm, is proposed. A discussion on the gender differences of the related estimated multilevel logit models is presented. A sensitivity analysis is also included in order to assess the prediction accuracy of the proposed multilevel logit modeling.</p> <p> </p> <p>This repository contains data generated for the manuscript: " A two-stage procedure for optimal modeling of the probability of training needs in artificial intelligence". It comprehends: (1) the dataset Data_Boruta_Random_Forest used to estimate the variables importance. (2) the dataset Data_Multilevel to perform the comparison among different multilevel binary models proposed in the paper.</p>
Innovative Training Program for Elderly in Need of Care Individuals
ClinicalTrials.gov study NCT02102919. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Simulator Based Powered Mobility Training of Children With Special Needs
ClinicalTrials.gov study NCT04531488. IPD Sharing: NO. Countries: 1. Publications: 1.
Prevention of Skin Damage in the Patient in Prone Position: Development of Education Interventions Based on a Training Needs Assessment Study.
ClinicalTrials.gov study NCT05238870. IPD Sharing: NO. Countries: 1. Publications: 1.
Understanding the Need and Feasibility of Transitional Care Training Program Among Family Caregivers of Geriatric Stroke Survivors in Pakistan
ClinicalTrials.gov study NCT06341881. IPD Sharing: YES. Countries: 1. Publications: 12.
The Effect of Positive Psychotherapy-Based Self-Compassion Training on Internalized Stigma, Loneliness, and Empathy Levels of Parents of Children With Special Needs
ClinicalTrials.gov study NCT07124104. IPD Sharing: NO. Countries: 1. Publications: 0.
Innovative Training Program for Elderly in Need of Care
ClinicalTrials.gov study NCT02332083. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Diabetes Education/Skills Training and Social Needs Resolution Intervention
ClinicalTrials.gov study NCT05935410. IPD Sharing: NO. Countries: 1. Publications: 0.
Computerized Eye-tracking Attention Training for Children With Special Needs
ClinicalTrials.gov study NCT04178421. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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.
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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.