100+ datasets found
  1. s

    Collaboration & Teamwork Plugin Statistics

    • system3.md
    Updated Feb 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    System 3 (2025). Collaboration & Teamwork Plugin Statistics [Dataset]. https://system3.md/observatory/categories/collaboration-teamwork
    Explore at:
    Dataset updated
    Feb 9, 2025
    Dataset authored and provided by
    System 3
    Description

    Download statistics and trends for 12 plugins in the Collaboration & Teamwork category

  2. Z

    Data from: A Dataset of Crowdsourced Smarthome Requirements with Creativity...

    • data.niaid.nih.gov
    Updated Jan 24, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ajmeri, Nirav (2020). A Dataset of Crowdsourced Smarthome Requirements with Creativity Ratings [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3550720
    Explore at:
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Murukannaiah, Pradeep K.
    Ajmeri, Nirav
    Rahman, Muhammad Fazalul
    Singh, Munindar P.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset contains the data analyzed in the paper titled "Crowdsourcing Requirements: Does Teamwork Enhance Crowd Creativity?"

    The dataset contains the following csv files:

    1. presurvey-questions: List of presurvey questions to collect demographics

    2. disc-questions: List of DISC personality questions to cause a crowd worker’s personality. Each group has a set of 4 statements out of which the worker was expected to select one

    3. post-survey-questions: List of postsurvey questions

    4. users: List of crowd workers in the study; values 1 and 2 of the column ‘group_type’ correspond to workers in solo and interacting teams respectively

    5. presurvey-responses: Workers' responses to the presurvey

    6. personality_data: Workers’ IPIP (O, C, E, A, N metrics) and DISC (raw and normalized) scores

    7. post-survey-responses: Workers' responses to the postsurvey

    8. all_requirements: Requirements in a user story format, elicited by the crowd workers

    9. creativity-ratings.csv: Authors’ average ratings for each requirement for the metrics ‘detailedness’, ‘novelty’ and ‘usefulness’

  3. i

    Grant Giving Statistics for Teamwork Foundation Inc.

    • instrumentl.com
    Updated May 30, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2021). Grant Giving Statistics for Teamwork Foundation Inc. [Dataset]. https://www.instrumentl.com/990-report/teamwork-foundation-inc
    Explore at:
    Dataset updated
    May 30, 2021
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Teamwork Foundation Inc.

  4. J

    Data from: Team performance and the perception of being observed:...

    • journaldata.zbw.eu
    stata data, stata do +1
    Updated Oct 22, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    massimiliano ferraresi; Gianluca Gucciardi; massimiliano ferraresi; Gianluca Gucciardi (2022). Team performance and the perception of being observed: experimental evidence from top-level professional football [Dataset]. http://doi.org/10.15456/ger.2022285.135645
    Explore at:
    stata data(1458891), stata do(14870), txt(405)Available download formats
    Dataset updated
    Oct 22, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    massimiliano ferraresi; Gianluca Gucciardi; massimiliano ferraresi; Gianluca Gucciardi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    We exploit the natural experimental setting provided by the Covid-19 lockdown to analyse how performance is affected by a friendly audience. Specifically, we use data on all football matches in the top-level competitions across France, Germany, Italy, Spain, and the United Kingdom over the 2019/2020 season. We compare the difference between the number of points gained by teams playing at home and teams competing away before the Covid-19 outbreak, when supporters could attend any match, with the same difference after the lockdown, when all matches took place behind closed doors. We find that the performance of the home team is halved when stadiums are empty. Further analyses indicate that offensive (defensive) actions taken by the home team are drastically reduced (increased) once games are played behind closed doors. The referee is affected too, as she changes her behaviour in games without spectators. Finally, the home advantage is entirely driven by teams that do not have international experience. Taken together, our findings corroborate the hypothesis that social pressure influences individual behaviour.

  5. Team Collaboration Software Market Analysis, Size, and Forecast 2025-2029:...

    • technavio.com
    Updated Mar 3, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Technavio (2023). Team Collaboration Software Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, and UK), APAC (China, India, Japan, and South Korea), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/team-collaboration-software-market-industry-analysis
    Explore at:
    Dataset updated
    Mar 3, 2023
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Canada, United States, Global
    Description

    Snapshot img

    Team Collaboration Software Market Size 2025-2029

    The team collaboration software market size is forecast to increase by USD 10.33 billion at a CAGR of 12% between 2024 and 2029.

    The market is experiencing significant growth, driven primarily by the increasing trend toward remote work and the popularity of cloud-based services. With the shift to remote work, the need for effective collaboration tools that enable seamless communication and project management has become essential for businesses. Cloud-based team collaboration software offers flexibility, accessibility, and cost savings, making it an attractive solution for organizations of all sizes. However, the market also faces challenges, most notably data privacy and security concerns. Real-time translation and instant messaging software enable effective communication among team members, while video conferencing tools facilitate virtual meetings.
    Navigating this delicate balance between convenience and security will be a key challenge for market players as they seek to capitalize on the growing demand for team collaboration software. As more businesses adopt cloud-based collaboration tools, ensuring the security of sensitive data becomes a top priority. The market is witnessing significant growth due to the increasing trend of remote work and digital transformation. Companies must address these concerns by implementing robust security measures and transparent data handling practices to build trust with their customers and protect their reputation.
    

    What will be the Size of the Team Collaboration Software Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    In the dynamic market, enterprise organizations seek solutions to enhance team cohesion and optimize workflows. Team alignment and effective communication are crucial for productivity enhancement, leading to the adoption of collaboration tools. Feedback mechanisms and access control mechanisms ensure accountability and streamline project delivery timelines. Collaboration software features, such as real-time messaging and video conferencing, enable seamless teamwork and project collaboration. Enterprise collaboration tools offer project success rate improvements through task prioritization, software development tools, and project collaboration platforms. Resource management tools and data visualization solutions provide project visibility, enabling process efficiency and remote work solutions.

    Knowledge sharing platforms and digital workspace solutions facilitate information governance and collaboration analytics, fostering a culture of continuous learning and innovation. Cloud-based collaboration and collaboration lifecycle management streamline the collaboration process and ensure data security measures are in place. Team performance tracking and communication effectiveness are essential components of successful project delivery. In summary, the market is driven by the need for effective team cohesion, workflow optimization, and project success rate enhancement. Solutions offering access control mechanisms, project visibility, and communication effectiveness are in high demand, with cloud-based collaboration and data security measures being essential considerations for enterprise organizations.

    How is this Team Collaboration Software Industry segmented?

    The team collaboration software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Deployment
    
      Cloud-based
      On-premises
    
    
    End-user
    
      IT and telecommunications
      BFSI
      Retail
      Healthcare
      Others
    
    
    Business Segment
    
      Large enterprise
      SMEs
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Deployment Insights

    The Cloud-based segment is estimated to witness significant growth during the forecast period. Team collaboration software has become an essential tool for businesses seeking to enhance productivity and streamline operations. Cloud-based solutions are particularly popular due to their ability to provide a unified point of access for global information, ensuring reliability and accommodating unique business requirements worldwide. This type of software offers features such as real-time translation, instant messaging, video conferencing, and remote patient monitoring through telehealth. These systems offer features such as version control, project management, progress monitoring, user interface design, integration capabilities, cross-platform compatibility, customizable w

  6. Participants in team sports in the U.S. 2013-2024

    • statista.com
    Updated Jun 11, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Participants in team sports in the U.S. 2013-2024 [Dataset]. https://www.statista.com/statistics/988077/team-sports-participants-us/
    Explore at:
    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, **** percent of the United States' population took part in teams sports. This represented an increase over the previous year's figure, which stood at **** percent.

  7. d

    Interagency Data Team Presentation March 14, 2025

    • opendata.dc.gov
    • catalog.data.gov
    Updated Mar 14, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Washington, DC (2025). Interagency Data Team Presentation March 14, 2025 [Dataset]. https://opendata.dc.gov/documents/DCGIS::interagency-data-team-presentation-march-14-2025
    Explore at:
    Dataset updated
    Mar 14, 2025
    Dataset authored and provided by
    City of Washington, DC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Presentation slides from the Interagency Data Team meeting. The Interagency Data Team is a community of data analysts, or agency liaisons, who convene regularly with representation from DC agencies of all persuasions. Participants engage in discussions regarding the team’s core mission and priorities for a better kind of data culture – collection, application, sharing, classification and governance to name a few. The team is coordinated by the Office of the Chief Technology Officer (OCTO), lead by the Chief Data Officer (CDO), and directly supports the District of Columbia's Data Policy. Topics for this meeting:Chief Data Officer's Annual Report for 2025Enterprise Dataset Inventory for 2025Getting Started with DatabricksData Skills Survey Results

  8. f

    Data from: Enhancing interprofessional teamwork between youth care...

    • tandf.figshare.com
    docx
    Updated Apr 11, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Janine Benjamins; Emely de Vet; Annemien Haveman-Nies (2024). Enhancing interprofessional teamwork between youth care professionals using an electronic health record; a mixed methods intervention study [Dataset]. http://doi.org/10.6084/m9.figshare.25303579.v1
    Explore at:
    docxAvailable download formats
    Dataset updated
    Apr 11, 2024
    Dataset provided by
    Taylor & Francis
    Authors
    Janine Benjamins; Emely de Vet; Annemien Haveman-Nies
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    We aimed to investigate whether using a shared electronic patient record (EPR-Youth) strengthened interprofessional teamwork among professionals in youth care and child healthcare. Using a mixed-methods design, we compared two partly overlapping samples of professionals, who completed questionnaires before the introduction of EPR-Youth (n = 117) and 24 months thereafter (n = 127). Five components of interprofessional teamwork (interdependence, newly created professional activities, flexibility, collective ownership of goals, and reflection on processes) were assessed for this study. Midway through the study period, focus groups were held with 12 professionals to examine how EPR-Youth contributed to interprofessional teamwork. Professionals reported significantly more flexibility after the introduction of EPR-Youth than before. Professionals scored slightly -but not significantly- more positively on the other components of teamwork. Focus group participants reported that using EPR-Youth strengthened their sense of interdependence and collective ownership of goals, and contributed to newly created professional activities. At baseline, levels of interprofessional teamwork differed between organizations. Focus group participants confirmed these differences and attributed them to differences in facilitation of interprofessional teamwork. Our findings suggest that using EPR-Youth can foster interprofessional teamwork. Organizational differences underline that implementing an EPR alone is inadequate: shared definitions of teamwork and organizational facilities are needed to strengthen interprofessional teamwork.

  9. Global Teamwork Consulting Service Market Forecast and Trend Analysis...

    • statsndata.org
    excel, pdf
    Updated Jun 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Stats N Data (2025). Global Teamwork Consulting Service Market Forecast and Trend Analysis 2025-2032 [Dataset]. https://www.statsndata.org/report/teamwork-consulting-service-market-351457
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    Jun 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Teamwork Consulting Service market is a pivotal sector that focuses on enhancing collaboration and efficiency within organizations by optimizing team dynamics and processes. As businesses increasingly recognize the significance of effective teamwork in achieving strategic objectives, the demand for specialized c

  10. p

    Data from: Team School

    • publicschoolreview.com
    json, xml
    Updated Feb 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Public School Review (2025). Team School [Dataset]. https://www.publicschoolreview.com/team-school-profile
    Explore at:
    json, xmlAvailable download formats
    Dataset updated
    Feb 9, 2025
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1993 - Dec 31, 2025
    Description

    Historical Dataset of Team School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1993-2023),Total Classroom Teachers Trends Over Years (1993-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1993-2023),Asian Student Percentage Comparison Over Years (1993-2012),Hispanic Student Percentage Comparison Over Years (1993-2023),Black Student Percentage Comparison Over Years (1995-2023),White Student Percentage Comparison Over Years (1993-2023),Two or More Races Student Percentage Comparison Over Years (2012-2023),Diversity Score Comparison Over Years (1993-2023),Free Lunch Eligibility Comparison Over Years (1993-2023),Reduced-Price Lunch Eligibility Comparison Over Years (1999-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2011-2022)

  11. d

    Data for: Effect of using a cognitive aid on content and feasibility of...

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Apr 1, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Julia Freytag; Fabian Stroben; Wolf Hautz; Dorothea Penders; Juliane Kämmer (2021). Data for: Effect of using a cognitive aid on content and feasibility of debriefings of simulated emergencies [Dataset]. http://doi.org/10.5061/dryad.02v6wwq2t
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 1, 2021
    Dataset provided by
    Dryad
    Authors
    Julia Freytag; Fabian Stroben; Wolf Hautz; Dorothea Penders; Juliane Kämmer
    Time period covered
    2021
    Description

    Participaints were asked to fill out a inital and a final survey and to rate ther satisfation with the debriefings (paper pencil); Teamwork was rated by external observers using the TEAM (Team emergency assessment measure); Facilitators were asked to note the topic(s) of each debriefing (wich were mapped to CRM principles by two researchers) and to rate the feasibility of the debriefing / of TeamTAG Data were analyses with SPSS using Chi-square tests, t-tests, and an analysis of covariance (ANCOVA) and descriptively using a heatmap

  12. Team sport participation England 2015-2024

    • statista.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista, Team sport participation England 2015-2024 [Dataset]. https://www.statista.com/statistics/934775/team-sport-participation-uk/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom (England)
    Description

    Between November 2023 and November 2024, approximately *** million people participated in team sports in England. This marked an increase from the previous period, during which *** million individuals participated in team sports.

  13. Z

    Academic Motivation Scale (AMS) Intrinsic Motivation (IM) Questionnaire and...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jul 19, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Smith, Jennifer (2024). Academic Motivation Scale (AMS) Intrinsic Motivation (IM) Questionnaire and Data [Dataset]. https://data.niaid.nih.gov/resources?id=ZENODO_3866178
    Explore at:
    Dataset updated
    Jul 19, 2024
    Dataset provided by
    Onencan, Abby Muricho
    Smith, Jennifer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The goal of this study is to investigate two things: 1) What motivates students to study at university? and 2) Have the recent COVID-19 social distancing measures demotivated students to continue studying in university? This survey will measure 3 types of motivations: Intrinsic, extrinsic, and amotivation. Intrinsic motivation is the level to which an individual engages in any given activity purely for enjoyment, satisfaction, or pleasure. Extrinsic motivation stems from an external source, such as deadlines, getting good grades, or the need to be praised/not punished. Lastly, amotivation is when an individual lacks any and all motivation, and the activity has no value or interest to them.

    This research is important because it could give Radboud University valuable knowledge and insights into why students study at all. Measuring amotivation can give insights about the potential lack in student motivation and their online content. This knowledge can be used to enhance their online content in the future, add new programs for students to use, give additional student support, and to foster greater student engagement and motivation.

    This survey consists of a total of 5 multiple choice questions regarding demographics. This is followed by a set of 24 statements to assess your intrinsic and extrinsic motivation to study. Then, a set of 4 statements to measure amotivation will be given twice. First in the context PRIOR to COVID-19 social distancing measures and again in the context AFTER COVID-19 social distancing measures were put in place. Lastly, there will be 4 questions which ask about your motivation levels and what you would recommend Radboud to do in the future. This will consist of a total of 32 statements and 9 questions. The survey takes approximately 5-10 minutes to complete.

  14. Data from: How do organisational characteristics influence teamwork and...

    • zenodo.org
    • data.niaid.nih.gov
    • +2more
    bin
    Updated May 29, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Gladys N. Honein-AbouHaidar; Terri Stuart-McEwan; Tom Waddell; Alexandra Salvarrey; Jennifer Smylie; Mark J. Dobrow; Melissa C. Brouwers; Anna R. Gagliardi; Gladys N. Honein-AbouHaidar; Terri Stuart-McEwan; Tom Waddell; Alexandra Salvarrey; Jennifer Smylie; Mark J. Dobrow; Melissa C. Brouwers; Anna R. Gagliardi (2022). Data from: How do organisational characteristics influence teamwork and service delivery in lung cancer diagnostic assessment programmes? A mixed-methods study [Dataset]. http://doi.org/10.5061/dryad.tq106
    Explore at:
    binAvailable download formats
    Dataset updated
    May 29, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Gladys N. Honein-AbouHaidar; Terri Stuart-McEwan; Tom Waddell; Alexandra Salvarrey; Jennifer Smylie; Mark J. Dobrow; Melissa C. Brouwers; Anna R. Gagliardi; Gladys N. Honein-AbouHaidar; Terri Stuart-McEwan; Tom Waddell; Alexandra Salvarrey; Jennifer Smylie; Mark J. Dobrow; Melissa C. Brouwers; Anna R. Gagliardi
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Objectives: Diagnostic assessment programs (DAPs) can reduce wait times for cancer diagnosis but optimal DAP design is unknown. This study explored how organizational characteristics influenced multidisciplinary teamwork and diagnostic service delivery in lung cancer DAPs. Design: A mixed methods approach integrated data from descriptive qualitative interviews and medical record abstraction at four lung cancer DAPs. Findings were analyzed with the Integrated Team Effectiveness Model. Setting: Four DAPs at two teaching and two community hospitals in Canada Participants: Twenty-two staff were interviewed about organizational characteristics, target service benchmarks, and teamwork processes, determinants and outcomes; 314 medical records were reviewed for actual service benchmarks. Results: Formal, informal and asynchronous team processes enabled service delivery and yielded many perceived benefits at the patient, staff and service levels. However, several DAP characteristics challenged teamwork and service delivery: referral volume/workload, time since launch, days per week of operation, rural-remote population, number and type of full-time/part-time human resources, staff co-location, information systems. As a result, all sites failed to meet target benchmarks (from referral to consultation median 4.0 visits, median wait time 35.0 days). Recommendations included improved information systems, more staff in all specialties, staff co-location and expanded roles for patient navigators. Findings were captured in a conceptual framework of lung cancer DAP teamwork determinants and outcomes. Conclusions: This study identified several DAP characteristics that could be improved to facilitate teamwork and enhance service delivery, thereby contributing to knowledge of organizational determinants of teamwork and associated outcomes. Findings can be used to update existing DAP guidelines, and by managers to plan or evaluate lung cancer DAPs. Ongoing research is needed to identify ideal roles for navigators, and staffing models tailored to case volumes.

  15. IPL-2021 First half statistics

    • kaggle.com
    Updated Sep 18, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yash Patel (2021). IPL-2021 First half statistics [Dataset]. https://www.kaggle.com/datasets/ysthehurricane/ipl2021-first-half-statistics
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 18, 2021
    Dataset provided by
    Kaggle
    Authors
    Yash Patel
    Description

    Context

    The most famous IPL's second half will start in 2 days. Before it starts, let us analyze, visualize and predict which team will deserve to win.

    Content

    The dataset contains two folders which are Batting stats and Bowling states. Along with them, there is a points_table file. All files are in .csv format and also preprocessed.

  16. d

    Interagency Data Team Notes March 7, 2018

    • catalog.data.gov
    • opendata.dc.gov
    • +2more
    Updated Feb 4, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Washington, DC (2025). Interagency Data Team Notes March 7, 2018 [Dataset]. https://catalog.data.gov/dataset/interagency-data-team-notes-march-7-2018
    Explore at:
    Dataset updated
    Feb 4, 2025
    Dataset provided by
    City of Washington, DC
    Description

    Meeting notes from Interagency Data Team meetings. These are best attempt to capture notable comments and questions from attendees. Notes are paraphrased. Please reference presentation or contact open.data@dc.gov with questions. The Interagency Data Team is a community of data analysts, or agency liaisons, who convene regularly with representation from DC agencies of all persuasions. Participants engage in discussions regarding the team’s core mission and priorities for a better kind of data culture – collection, application, sharing, classification and governance to name a few. The team is coordinated by the Office of the Chief Technology Officer (OCTO), lead by the Chief Data Officer (CDO), and directly supports the District of Columbia's Data Policy.

  17. f

    S1 Data -

    • plos.figshare.com
    xlsx
    Updated Oct 30, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Hao Jin; Yan Peng (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0306629.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Oct 30, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Hao Jin; Yan Peng
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This study aims to delve into the impact of team psychological safety on employee innovative performance and to analyze the mediating role of communication behavior in this process. Given the central role of innovation in the sustained competitiveness of enterprises, understanding how team psychological safety promotes employee innovation through communication behavior is of significant theoretical and practical importance. The study employs a structural equation model (SEM) to analyze survey data from 580 employees across various high-tech enterprises. The results indicate that the three dimensions of team psychological safety—team collaboration and understanding, team information sharing, and team give-and-take balance—have a significant positive impact on employee innovative performance. Moreover, communication behavior plays a significant mediating role between team psychological safety and employee innovative performance. This study reveals the positive influence of team psychological safety on employee innovative performance through communication behavior, emphasizing the importance of building a positive team psychological safety environment to stimulate employee innovation potential. It provides empirical evidence for enterprise managers to optimize team communication strategies and enhance employee innovative performance.

  18. Opinion on continuing to support a relocated MLB team in the U.S. 2023

    • statista.com
    Updated Dec 7, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2023). Opinion on continuing to support a relocated MLB team in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/197894/share-of-us-adults-that-follow-major-league-baseball-mlb/
    Explore at:
    Dataset updated
    Dec 7, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 21, 2023
    Area covered
    United States
    Description

    Almost half of MLB fans in a November 2023 survey in the United States claimed that they would continue supporting their favorite baseball team if it were to relocate. Meanwhile, 37 percent of respondents stated that they would be unlikely to continue following their favorite team after a relocation.

  19. r

    Data from: Foreign correspondents and fixers: an investigation of teamwork...

    • researchdata.edu.au
    • dro.deakin.edu.au
    Updated Jun 19, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    C Murrell (2024). Foreign correspondents and fixers: an investigation of teamwork in international television newsgathering [Dataset]. https://researchdata.edu.au/foreign-correspondents-fixers-television-newsgathering/2968951
    Explore at:
    Dataset updated
    Jun 19, 2024
    Dataset provided by
    Deakin University
    Authors
    C Murrell
    Description

    This thesis considers the relationship between television foreign correspondents and their locally-hired 'fixers' in order to ascertain the centrality and significance of this relationship in facilitating international news production. The design of this research project, with its emphasis on news production practice, was guided by scholars in the sociology of news tradition, such as Jeremy Tunstall, Michael Schudson, Stephen Reese, Pamela Shoemaker and Simon Cottle. The main research question asks to what extent, and how, is the relationship between the correspondent and the fixer important to newsgathering? Drawing on the theories of Pierre Bourdieu concerning the journalistic field and the acquisition of cultural capital, this research demonstrates how fixers possess vital stores of capital which foreign correspondents borrow in order to be successful in the field. This thesis explores in depth how the players work in tandem to overcome the difficulties posed by multi-skilling, parachuting, instant live reporting, and the 24-hour news cycle. Current newsgathering practice in Iraq is investigated as a case study, which reveals the difficulties of reporting from this dateline and reflects on how the level of danger has changed the nature of the correspondent-fixer relationship. Within this relationship, where a correspondent has the ultimate power to hire and fire, a fixer nonetheless brings significant influence to bear on story generation and story coverage. But does this influence bring into the Western news agenda stories that genuinely reflect localised, indigenous viewpoints? Or, in this globalised world, are fixers simply 'People Like Us' (PLU), who have absorbed Western news values and will reinforce them through the stories that they propose? In other words, are correspondents likely to gain an insight into localised communities and their problems that they might not otherwise have understood, or will they have their own views and presumptions reflected back at them? This thesis examines what the use of fixers reveals about the political economy of news and the changing context of international news production. It asks whether the growing importance of fixers in newsgathering reflects a move by media companies to eventually outsource international newsgathering to local employees. This thesis employs a qualitative methodological approach involving semi-structured interviews with foreign correspondents and fixers to explore their modus operandi and to investigate the building of overseas news teams.

  20. Amount of time spent on managing fantasy football team 2013

    • statista.com
    Updated Sep 30, 2013
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2013). Amount of time spent on managing fantasy football team 2013 [Dataset]. https://www.statista.com/statistics/284718/amount-of-time-spent-on-managing-fantasy-football-team/
    Explore at:
    Dataset updated
    Sep 30, 2013
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 28, 2013 - Sep 30, 2013
    Area covered
    United States
    Description

    The statistic shows the results of a survey concerned with the amount of time spent on the management of fantasy football teams in the United States in 2013. 49 percent of the respondents said that they spent less than an hour a week managing their fantasy football team.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
System 3 (2025). Collaboration & Teamwork Plugin Statistics [Dataset]. https://system3.md/observatory/categories/collaboration-teamwork

Collaboration & Teamwork Plugin Statistics

Explore at:
Dataset updated
Feb 9, 2025
Dataset authored and provided by
System 3
Description

Download statistics and trends for 12 plugins in the Collaboration & Teamwork category

Search
Clear search
Close search
Google apps
Main menu