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24 results for “Research teams”
A 31-Year Bibliometric Review of Team Effectiveness Research: Evolution, Trends, and Future Directions (DATA).
<p>This dataset is derived from a comprehensive study of team effectiveness over three decades, utilizing bibliometric techniques to examine scholarly publications across multiple databases. The repository includes bibliometric data from 6,051 publications related to team effectiveness, featuring metadata such as authors, titles, publication years, citations, and keywords.</p> <h3>Repository Structure:</h3> <p>The data shared in this repository is organized as follows:</p> <ul> <li><strong>Bibliometrix database.xlsx:</strong> This excel file contains information on 6051 publications in the field of Team Effectiveness downloaded from the Scopus and Web of Science databases using specific search terms and inclusion criteria detailed in our associated paper (see our publication for more information on the methodology). The file contains the necessary headers for direct use in the Biblioshiny interface of the bibliometrix library for R.</li> <li><strong>List of stop words.txt:</strong> This file contains keywords, separated by commas, that we have decided to eliminate from our analyses due to their potential to introduce bias in the results.</li> <li><strong>List of synonyms.txt:</strong> This file contains groups of semantically synonymous keywords, separated by semicolons. Each line represents a group of synonyms, with the first keyword being the one that Bibliometrix will use to replace all other keywords in that line.</li> <li><strong>Appendix [A-H].pdf:</strong> List of appendices that complement the results of the study carried out.</li> </ul> <h3>Recommended Usage:</h3> <div> <div> <div> <div> <p>This dataset is ideal for researchers interested in conducting new analyses of research trends, co-authorship network analysis, and thematic evolution in the field of team effectiveness. For example, researchers can narrow the scope to focus exclusively on team effectiveness in educational contexts. Our publication provides all the necessary details to replicate or extend our methodology. For any queries related to the data, please contact <strong>Yeray Barrios-Fleitas</strong> at <em><a rel="noreferrer">y.d.c.barriosfleitas@utwente.nl</a></em>.</p> </div> </div> </div> </div> <div> </div> <h3>License and Citation:</h3> <p>The data are distributed under the CC BY license. Please cite any use of this dataset using the following format:<br>Barrios Fleitas, Y., Marcella A.M.G., Eysink, T.H., & Rensink , A. (2025). A 31-Year Bibliometric Review of Team Effectiveness Research: Evolution, Trends, and Future Directions. ZENODO, <a href="https://doi.org/10.5281/zenodo.12082529" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12082529</a></p>
GEDII Wearable Sensors Dataset of 10 Research Teams
<p>The dataset contains Bluetooth (proximity), Infrared (face-to-face), Speech (microphone) and Accelerometer (body activity) data of 10 research teams collected during 5 working days in each team. Altogether N=105 team members. Socio-demographic data as well as round-robin ratings regarding friendship and advice seeking is included. Data was collected using Sociometric badges by Humanyze (formerly Sociometric Solutions).</p> <p>The present dataset has been produced within the context of a EU funded H2020 research project called “Gender-Diversity-Impact: Improving Research and Innovation through Gender Diversity. (GEDII)”. The project has been running from 2015 to 2018 with the aim to develop new tools and methods for doing research on the impact of gender diversity in R&D teams. In order to address these questions, GEDII makes use of a variety of research methods, including a cross country survey, bibliometric & patent analysis and detailed case studies with R&D teams.</p> <p>The dataset is distributed as R package.</p>
GEDII Survey on Research Teams Dataset
<p>This dataset contains the result of the GEDII cross-country survey carried out among EU based research teams during the year 2017. It contains research teams from Austria, Belgium, Czech Republic, Denmark, Finland, France, Germany, Italy, Lithuania, the Netherlands, Norway, Poland, Portugal, Spain, Sweden, Switzerland and the UK. Overall, the Consortium recruited 159 research groups submitting a total of 1501 online questionnaires - out of which 1357 are complete.</p> <p>The dataset <strong>is unique</strong> in that it combines individual level responses from research group members regarding team climate, communication patterns, or leadership style among others with bibliometric performance data for each particular group retrieved from Web of Science (Clarivate Analytics).</p> <p>The data is distributed as R package "gediiccs", including extensive documentation.</p> <p>NOTE: The open access version of the "gediiccs" package contains the <strong>team level data only</strong>. This restriction is due to confidentiality concerns: given the large quantity of variables in relation to the relatively small research groups, it would be easy for group members to "reverse engineer" the identity of their own group as well as the responses from individual group members. Hence, only<strong> team level aggregated data</strong> has been released.</p>
Rapid Review Dataset for Seeking Enlightenment: Incorporating Evidence-Based Practice Techniques in a Research Software Engineering Team
<p>A collection of evidence briefings produced through a rapid literature review protocol the Department of Software Engineering and Research at Sandia National Laboratories. These briefings are described in our research paper, "Seeking Enlightenment: Incorporating Evidence-Based Practice Techniques in a Research Software Engineering Team", which was accepted for publication at the 1st Annual Conference of the United States Research Software Engineer Association (US-RSE'23).</p> <p>Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525. SAND2023-06549O.</p>
SMA-TB Clinical trial research team's thoughts and opinions
<p>In this video SMA-TB Clinical trial research team members from Georgia and South Africa share their thoughts and opinions regarding the SMA-TB project and its impact both at scientific and personal level. </p> <p>SMA-TB team comprises of doctors, nurses, laboratory technicians and administrative. This video gives opportunity to look at and think of SMA-TB project from different perspectives. </p> <p>SMA-TB project has received funding from the European Union's Horizon 2020 research and innovation programme under grant ageement No 847762</p>
Linked collectors and determiners for: TUR Amazon research team collections.
Natural history specimen data linked to collectors and determiners held within, "TUR Amazon research team collections". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/35e0b405-7fcf-4dd8-a5f9-e8b6a03b670e">https://bionomia.net/dataset/35e0b405-7fcf-4dd8-a5f9-e8b6a03b670e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/35e0b405-7fcf-4dd8-a5f9-e8b6a03b670e">https://gbif.org/dataset/35e0b405-7fcf-4dd8-a5f9-e8b6a03b670e</a>. Formatted as a Frictionless Data package.
Team-based Versus Primary Care Clinician-led Advance Care Planning in Practice-based Research Networks
ClinicalTrials.gov study NCT03577002. IPD Sharing: YES. Countries: 2. Publications: 6.
Data from: A framework for sharing power in research teams and promoting justice in scientific publication
Open the record for dataset details and reuse information.
Co-authoring graphs of research teams in a laboratory in computer science
<p>Our aim is to study inter-organisational collaborations initiated by researchers in their research activity. We considered the co-authoring graph involving at least researchers from LORIA (<a href="https://www.loria.fr/fr/">https://www.loria.fr/fr/</a>), a French laboratory in computer science.</p> <p>The dataset is collected from the open French archive HAL (<a href="https://data.archives-ouvertes.fr/">https://data.archives-ouvertes.fr/</a>).</p> <p>Each file encodes (in <a href="http://www.graphviz.org/about/">DOT</a>) the co-authoring graph of a team of LORIA. A node represents a researcher, two nodes are linked only if the corresponding researchers published together over the three considered years 2017, 2018 and 2019. An affiliation attribute is attached to each considered node.</p> <p>The name of researchers and the teams as well as the HAL:id are anonymised. Only affiliations remain the same.</p>
DataverseNO curation workflow used by the Research data team at the University Library of Bergen
<p>DataverseNO curation workflow used by the Research data team at the University Library of Bergen.</p> <p>Original Google Slides are available here: https://docs.google.com/presentation/d/1fxpAnvca7jisqjb0oqD1L3N3Kxj4hrpn_ywxSEl6-RU/edit?usp=sharing</p>
Fig. 1 in Import and export of biological samples from tropical countries-considerations and guidelines for research teams
Fig. 1 Scheme illustrating the work flow for preparation and steps to consider for a project involving biological sampling and transportation with relevance for ABS (modified after DFG 2008)
Fig. 2 in Import and export of biological samples from tropical countries-considerations and guidelines for research teams
Fig. 2 Overview of regulations to be considered, in the country of origin (e. g. ABS, PIC, MAT, export permits), during transport (e. g. IATA), and for import (e. g. CITES and national legislation, health legislation)
REal World Advanced Experience of BioResorbable ScaffolD by SMart Angioplasty Research Team (SMART REWARD)
ClinicalTrials.gov study NCT02601404. IPD Sharing: Not stated. Countries: 1. Publications: 1.
PTSD Clinical Team Research Clinic (PCT Research Clinic)
ClinicalTrials.gov study NCT05422768. IPD Sharing: Not stated. Countries: 1. Publications: 14.
SMart Angioplasty Research Team: CHoice of Optimal Anti-Thrombotic Strategy in Patients Undergoing Implantation of Coronary Drug-Eluting Stents 3
ClinicalTrials.gov study NCT04418479. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Developmental Regression-related Disease Research and Achievement Transformation Innovation Team
ClinicalTrials.gov study NCT06155214. IPD Sharing: NO. Countries: 1. Publications: 0.
Smart Angioplasty Research Team-Coronary CT Angiography Versus Standard Care as Follow-up Strategies in High-Risk Patients After PCI (SMART-CARE)
ClinicalTrials.gov study NCT07009418. IPD Sharing: YES. Countries: 1. Publications: 0.
Smart Angioplasty Research Team-Optimal Strategy for Side Branch Stenting in Coronary Bifurcation Lesion With Drug-Coated Balloon
ClinicalTrials.gov study NCT07019350. IPD Sharing: YES. Countries: 1. Publications: 0.
My Interprofessional Care Team for Adherence and Research Engagement Disparities
ClinicalTrials.gov study NCT05470439. IPD Sharing: NO. Countries: 1. Publications: 0.
Rotational Atherectomy for Calcified lEsion By Smart Angioplasty Research Team (SMART-RACE)
ClinicalTrials.gov study NCT02716363. IPD Sharing: Not stated. 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.
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.