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558 results for “early intervention”
Co-design – Part 2: Workshop with professionals, early-adopters, and late/non-adopters to design interventions for a more responsible and just future with smart home technologies
<h3>Description</h3> <p>This qualitative dataset is the <strong>second part</strong> of a PhD study on co-designing smart home technologies, and represents the data collected during a series of two <strong>in-person workshops</strong>: one with professionals developing smart technology and its early-adopters, and a second one with late/non-adopters of smart technology. The first workshop had four groups of participants and the second three groups. The data is divided by each group. The data collected during the previous and subsequent parts of the referred study are also available at Zenodo.</p> <h3> </h3> <h3>Documents from workshop with professionals and early-adopters</h3> <ul> <li><strong>P2_WSP-PA-G1-TRANSCR_R00.docx</strong> (transcription of group 1 audio recordings) <ul> <li><strong>P2_WSP-PA-G1-VIS_000 </strong>to <strong>_005</strong> (participant-generated visual data)</li> </ul> </li> </ul> <ul> <li><strong>P2_WSP-PA-G2-TRANSCR_R00.docx </strong>(transcription of group 2 audio recordings) <ul> <li><strong>P2_WSP-PA-G2-VIS_000 </strong>to<strong> _008</strong> (participant-generated visual data)</li> </ul> </li> </ul> <ul> <li><strong>P2_WSP-PA-G3-TRANSCR_R00.docx </strong>(transcription of group 3 audio recordings) <ul> <li><strong>P2_WSP-PA-G3-VIS_000 </strong>to<strong> _004</strong> (participant-generated visual data)</li> </ul> </li> </ul> <ul> <li><strong>P2_WSP-PA-G4-TRANSCR_R00.docx </strong>(transcription of group 4 audio recordings) <ul> <li><strong>P2_WSP-PA-G4-VIS_000 </strong>to<strong> _002</strong> (participant-generated visual data)</li> </ul> </li> </ul> <p> </p> <h3>Documents from workshop with late/non-adopters</h3> <ul> <li><strong>P2_WSP-LN-G1-TRANSCR_R00</strong> (transcription of group 1 audio recordings) <ul> <li><strong>P2_WSP-LN-G1-VIS_000 </strong>and<strong> _001</strong> (participant-generated visual data)</li> </ul> </li> </ul> <ul> <li><strong>P2_WSP-LN-G2-TRANSCR_R00</strong> (transcription of group 2 audio recordings) <ul> <li><strong>P2_WSP-LN-G2-VIS_000 </strong>to<strong> _003</strong> (participant-generated visual data)</li> </ul> </li> </ul> <ul> <li><strong>P2_WSP-LN-G3-TRANSCR_R00</strong> (transcription of group 3 audio recordings) <ul> <li><strong>P2_WSP-LN-G3-VIS_000 </strong>to<strong> _002</strong> (participant-generated visual data)</li> </ul> </li> </ul> <p> </p> <h3>Acknowledgements</h3> <p>This study is part of the GECKO Project (<a href="https://gecko-project.eu/">https://gecko-project.eu/</a>) and has received funding from the European Commission under the Horizon2020 MSCA-ITN-2020 Innovative Training Networks programme, Grant Agreement No 955422 (<a href="https://cordis.europa.eu/project/id/955422">https://cordis.europa.eu/project/id/955422</a>).</p>
Co-design – Part 3: Focus group with professionals, early-adopters, and late/non-adopters to better detail each intervention designed, who would be involved, and how it would happen
<h3>Description</h3> <p>This qualitative dataset is the <strong>third part</strong> of a PhD study on co-designing smart home technologies, and represents the data collected during a <strong>online focus group</strong> with professionals developing smart technology, its early-adopters, and late/non-adopters. The meeting was conducted at Microsoft Teams with the support of an visual board on Miro. The data collected during the previous and subsequent parts of the referred study are also available at Zenodo.</p> <h3> </h3> <h3>Documents from focus group</h3> <ul> <li><strong>P3_FG-PAN-TRANSCR_R00.docx </strong>(transcription of focus group audio recordings)</li> </ul> <p> </p> <h3>Acknowledgements</h3> <p>This study is part of the GECKO Project (<a href="https://gecko-project.eu/">https://gecko-project.eu/</a>) and has received funding from the European Commission under the Horizon2020 MSCA-ITN-2020 Innovative Training Networks programme, Grant Agreement No 955422 (<a href="https://cordis.europa.eu/project/id/955422">https://cordis.europa.eu/project/id/955422</a>).</p>
Study of the Efficacy of Early Intervention With Secukinumab 300 mg s.c. Compared to Narrow-band UVB in Patients With New-onset Moderate to Severe Plaque Psoriasis
ClinicalTrials.gov study NCT03020199. IPD Sharing: YES. Countries: 13. Publications: 0.
Early Detection and Intervention for the Prevention of Psychosis
ClinicalTrials.gov study NCT00531518. IPD Sharing: YES. Countries: 1. Publications: 2.
Happy Mother-Healthy Baby: An Anxiety-focused Early Prenatal Intervention
ClinicalTrials.gov study NCT03880032. IPD Sharing: YES. Countries: 1. Publications: 17.
Early Occupational Therapy Intervention in the Hospital Discharge After Stroke
ClinicalTrials.gov study NCT04835363. IPD Sharing: NO. Countries: 1. Publications: 1.
A Randomized Trial of the Early Referral and Request Approach (ERRA) Intervention to Increase Consent to Organ Donation
ClinicalTrials.gov study NCT02138227. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Mental Imagery Therapy for Autism (MITA) - an Early Intervention Computerized Language Training Program for Children With ASD
ClinicalTrials.gov study NCT02708290. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Early Psychological Intervention to Prevent Cardiovascular Event-Induced PTSD (REACH Sub-study)
ClinicalTrials.gov study NCT03605693. IPD Sharing: YES. Countries: 1. Publications: 1.
Intensive Intervention for Toddlers With Autism (EARLY STEPS)
ClinicalTrials.gov study NCT00698997. IPD Sharing: YES. Countries: 1. Publications: 2.
Seeing the Light: Early Intervention in People at Risk for Bipolar Disorder
ClinicalTrials.gov study NCT06282250. IPD Sharing: YES. Countries: 1. Publications: 1.
Cold-stored Platelet Early Intervention in TBI
ClinicalTrials.gov study NCT04726410. IPD Sharing: YES. Countries: 1. Publications: 1.
Testing Means to Scale Early Childhood Development Interventions in Rural Kenya
ClinicalTrials.gov study NCT03548558. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Early Intervention in Cystic Fibrosis Exacerbation
ClinicalTrials.gov study NCT01104402. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Initial Efficacy Study of Supporting Play, Exploration, & Early Development Intervention
ClinicalTrials.gov study NCT02153736. IPD Sharing: NO. Countries: 1. Publications: 1.
Early Literacy Promotion Intervention
ClinicalTrials.gov study NCT02713659. IPD Sharing: YES. Countries: 1. Publications: 1.
Severe Psoriatic Arthritis - Early intervEntion to Control Disease: the SPEED Trial
ClinicalTrials.gov study NCT03739853. IPD Sharing: NO. Countries: 1. Publications: 1.
Early Parenting Intervention Comparison
ClinicalTrials.gov study NCT01517867. IPD Sharing: NO. Countries: 1. Publications: 2.
Psychosis: Early Detection, Intervention and Prevention
ClinicalTrials.gov study NCT01597141. IPD Sharing: Not stated. Countries: 1. Publications: 3.
ELITE: Early Versus Late Intervention Trial With Estradiol
ClinicalTrials.gov study NCT00114517. IPD Sharing: Not stated. Countries: 1. Publications: 11.
ScienceDex guides
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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.