43 datasets found
  1. d

    Taipei City Community Safety Meeting Statistics Table

    • data.gov.tw
    csv
    Updated Apr 23, 2022
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    Taipei City Police Department (2022). Taipei City Community Safety Meeting Statistics Table [Dataset]. https://data.gov.tw/en/datasets/151685
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 23, 2022
    Dataset authored and provided by
    Taipei City Police Department
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Area covered
    Taipei City
    Description

    A statistical table of the handling of community public safety meetings by the police station's branch.

  2. U.S. adults: safety of meeting people via online dating 2023, by age group

    • statista.com
    Updated Dec 12, 2023
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    Statista (2023). U.S. adults: safety of meeting people via online dating 2023, by age group [Dataset]. https://www.statista.com/statistics/1427068/us-adults-safety-online-dating-by-age/
    Explore at:
    Dataset updated
    Dec 12, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 5, 2022 - Jul 7, 2022
    Area covered
    United States
    Description

    According to a July 2022 survey conducted in the United States, 58 percent of respondents aged 18 to 29 years felt that online dating sites were a safe way to meet people. Overall, 62 percent of those aged 65 years and over thought that meeting people online was not safe.

  3. Central Science Park Occupational safety training and conference month data...

    • data.gov.tw
    csv
    Updated Sep 30, 2025
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    Central Taiwan Science Park Bureau, National Science and Technology Council (2025). Central Science Park Occupational safety training and conference month data statistics [Dataset]. https://data.gov.tw/en/datasets/7940
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    csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset provided by
    Ministry of National Science and Technology Council of Taiwan
    Authors
    Central Taiwan Science Park Bureau, National Science and Technology Council
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Occupational safety training course and conference monthly statistical data.

  4. i

    Grant Giving Statistics for Governors Occupational Safety And Health...

    • instrumentl.com
    Updated Mar 8, 2022
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    (2022). Grant Giving Statistics for Governors Occupational Safety And Health Conference Inc [Dataset]. https://www.instrumentl.com/990-report/governors-occupational-safety-and-health-conference-inc
    Explore at:
    Dataset updated
    Mar 8, 2022
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Governors Occupational Safety And Health Conference Inc

  5. i

    Grant Giving Statistics for New Mexico Mine Health And Safety Conference

    • instrumentl.com
    Updated Oct 17, 2021
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    (2021). Grant Giving Statistics for New Mexico Mine Health And Safety Conference [Dataset]. https://www.instrumentl.com/990-report/new-mexico-mine-health-and-safety-conference
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    Dataset updated
    Oct 17, 2021
    Area covered
    New Mexico
    Description

    Financial overview and grant giving statistics of New Mexico Mine Health And Safety Conference

  6. New Taipei City Government Police Department Community Safety Committee...

    • data.gov.tw
    csv
    Updated Nov 17, 2025
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    Police Department, New Taipei City Government (2025). New Taipei City Government Police Department Community Safety Committee Meeting Handling Status Statistics Form [Dataset]. https://data.gov.tw/en/datasets/124403
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    csvAvailable download formats
    Dataset updated
    Nov 17, 2025
    Dataset provided by
    New Taipei Cityhttp://www.tpc.gov.tw/
    Authors
    Police Department, New Taipei City Government
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Area covered
    New Taipei City
    Description

    Statistical table on the handling of community safety meetings at the sub-bureaus and stations of the New Taipei City Government Police Department

  7. Feeling part of the community and neighbourhood satisfaction, safety feeling...

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Dec 4, 2024
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    Government of Canada, Statistics Canada (2024). Feeling part of the community and neighbourhood satisfaction, safety feeling and economic hardship, by visible minority and selected characteristics [Dataset]. http://doi.org/10.25318/4310005801-eng
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    Dataset updated
    Dec 4, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Satisfaction with feeling part of the community and with the neighbourhood, feeling of safety from crime in the neighbourhood after dark and difficulty in meeting household financial needs reported by the reference person aged 15 and over (the person responsible for housing decisions), by visible minority and selected characteristics (age group, gender, immigrant status).

  8. i

    Grant Giving Statistics for Mine Safety & Health Conference

    • instrumentl.com
    Updated Jul 6, 2021
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    (2021). Grant Giving Statistics for Mine Safety & Health Conference [Dataset]. https://www.instrumentl.com/990-report/mine-safety-health-conference
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    Dataset updated
    Jul 6, 2021
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Mine Safety & Health Conference

  9. d

    Board of Police Commissioners Meeting Minutes

    • data.detroitmi.gov
    • detroitdata.org
    Updated Jan 18, 2019
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    City of Detroit (2019). Board of Police Commissioners Meeting Minutes [Dataset]. https://data.detroitmi.gov/datasets/892d8629cb8f4834b93e344da8173851
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    Dataset updated
    Jan 18, 2019
    Dataset authored and provided by
    City of Detroit
    Description

    Dates and minutes for all meetings of the Detroit Board of Police Commissioners, dating back to 2011. Minutes are in Adobe .pdf format.For more information see https://detroitmi.gov/government/boards/board-police-commissioners.

  10. U.S. adults on safety of dating sites or apps 2022, by gender

    • statista.com
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    Statista, U.S. adults on safety of dating sites or apps 2022, by gender [Dataset]. https://www.statista.com/statistics/1366255/us-users-safety-dating-app-usage-by-gender/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 5, 2022 - Jul 17, 2022
    Area covered
    United States
    Description

    According to a July 2022 survey on online dating in the United States, ********** thought online dating platforms were "not at all safe" or "not too safe" places to meet people. In contrast, ******** thought these platforms were very or somewhat safe for meeting people.

  11. D

    Data from: Efficacy of ventilation, HEPA air cleaners, universal masking,...

    • data.cdc.gov
    • data.virginia.gov
    • +1more
    csv, xlsx, xml
    Updated Nov 15, 2024
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    (2024). Efficacy of ventilation, HEPA air cleaners, universal masking, and physical distancing for reducing exposure to simulated exhaled aerosols in a meeting room-Dataset [Dataset]. https://data.cdc.gov/National-Institute-for-Occupational-Safety-and-Hea/Efficacy-of-ventilation-HEPA-air-cleaners-universa/ga52-qyaz
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    xml, csv, xlsxAvailable download formats
    Dataset updated
    Nov 15, 2024
    Description

    There is strong evidence associating the indoor environment with transmission of SARS-CoV-2, the virus that causes COVID-19. SARS-CoV-2 can spread by exposure to droplets and very fine aerosol particles from respiratory fluids that are released by infected persons. Layered mitigation strategies, including but not limited to maintaining physical distancing, adequate ventilation, universal masking, avoiding overcrowding, and vaccination, have shown to be effective in re-ducing the spread of SARS-CoV-2 within the indoor environment. Here, we examine the effect of mitigation strategies on reducing the risk of exposure to simulated respiratory aerosol particles within a classroom-style meeting room. To quantify exposure of uninfected individuals (Recip-ients), surrogate respiratory aerosol particles were generated by a breathing simulator with a headform (Source) that mimicked breath exhalations. Recipients, represented by three breathing simulators with manikin headforms, were placed in a meeting room and affixed with optical particle counters to measure 0.3–3 µm aerosol particles.

  12. i

    Grant Giving Statistics for Michigan Safety Conference Inc.

    • instrumentl.com
    Updated Feb 21, 2022
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    (2022). Grant Giving Statistics for Michigan Safety Conference Inc. [Dataset]. https://www.instrumentl.com/990-report/michigan-safety-conference-inc
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    Dataset updated
    Feb 21, 2022
    Area covered
    Michigan
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Michigan Safety Conference Inc.

  13. f

    Data from: Developing an In-House Application for Hazardous Chemicals...

    • acs.figshare.com
    xlsx
    Updated Sep 19, 2024
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    Mircea-Alexandru Comănescu (2024). Developing an In-House Application for Hazardous Chemicals Management [Dataset]. http://doi.org/10.1021/acs.chas.4c00062.s001
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    xlsxAvailable download formats
    Dataset updated
    Sep 19, 2024
    Dataset provided by
    ACS Publications
    Authors
    Mircea-Alexandru Comănescu
    License

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

    Description

    In Europe, unaligned regulatory requirements between the EU and member states often require that researchers and educators undertake additional labor intensive activities to ensure that the institutions where they work do not fall short of meeting both requirements. Because manually introducing information piecemeal from thousands of Safety Data Sheets (SDSs) into other required lists is labor intensive, this project provides a stand-alone application that can populate the required information within minutes and be easily used by any employee. Though the application is currently limited to the Romanian language and there are certain improvements that can be addressed within the script, as it stands, the application can fulfill its purpose.

  14. Evaluation of the shucking of certain species of scallops contaminated with...

    • data.niaid.nih.gov
    Updated Aug 19, 2021
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    EFSA CONTAM Panel; Schrenk, Dieter; Bignami, Margherita; Bodin, Laurent; Chipman, Kevin; del Mazo, Jesús; Grasl-Kraupp, Bettina; Hogstrand, Christer; Leblanc, Jean-Charles; Nebbia, Carlo Stefano; Nielsen, Elsa; Ntzani, Evangelia; Petersen, Annette; Sand, Salomon; Schwertdle, Tanja; Vleminckx, Christiane; Wallace, Heather; Martinez, Ana Gago; Gerssen, Arjen; Tubaro, Aurelia; Cascio, Claudia; Cortiñas  Abrahantes, José; Steinkellner, Hans; Hoogenboom, Laurentius (Ron) (2021). Evaluation of the shucking of certain species of scallops contaminated with domoic acid with a view to the production of edible parts meeting the safety requirements foreseen in the Union legislation - Summary statistics on occurrence and consumption data and exposure assessment results [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_5102829
    Explore at:
    Dataset updated
    Aug 19, 2021
    Dataset provided by
    Federal Institute for Risk Assessmenthttps://www.bfr.bund.de/
    The European Food Safety Authorityhttp://www.efsa.europa.eu/
    RIKILT
    Spanish National Research Council (Agencia Estatal Consejo Superior de Investigaciones Científicas, CSIC), Spain
    French Alternative Energies and Atomic Energy Commission (CE
    French Agency for Food, Environmental and Occupational Health & Safety (Agence Nationale de Sécurité Sanitaire de l'Alimentation, de l'Environnement et du Travail, ANSES), France
    University of Aberdeen, The United Kingdom
    Wageningen Food Safety Research (WFSR), The Netherlands
    University of Kaiserslautern, Germany
    National Food Agency, Sweden
    Italian National Institute of Health (Istituto Superiore di Sanita, ISS), Italy
    Medical University of Vienna, Austria
    University of Ioannina, Greece
    University of Birmingham, The United Kingdom
    King's College London, The United Kingdom
    Sciensano (Sciensano), Brussels, Belgium
    National Food Institute, Technical University of Denmark, Denmark
    National Food Institute, Technical University of Denmark
    University of Turin, Italy
    University of Trieste, Italy
    University of Vigo, Spain
    Authors
    EFSA CONTAM Panel; Schrenk, Dieter; Bignami, Margherita; Bodin, Laurent; Chipman, Kevin; del Mazo, Jesús; Grasl-Kraupp, Bettina; Hogstrand, Christer; Leblanc, Jean-Charles; Nebbia, Carlo Stefano; Nielsen, Elsa; Ntzani, Evangelia; Petersen, Annette; Sand, Salomon; Schwertdle, Tanja; Vleminckx, Christiane; Wallace, Heather; Martinez, Ana Gago; Gerssen, Arjen; Tubaro, Aurelia; Cascio, Claudia; Cortiñas  Abrahantes, José; Steinkellner, Hans; Hoogenboom, Laurentius (Ron)
    License

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

    Description

    DomoicAcid_Raw_Occurrence_Data.CSV contains the raw occurrence dataset on Domoic Acid contaminant in scallops as extracted from EFSA DWH on the 9 June 2020, 16,369 samples presented in the opinion as described in its section 1.3.2. Occurrence data submitted to EFSA. The data is provided in .csv format. This dataset is compliant with EFSA SSD model and contains two additional columns documenting issues identified in the cleaning process (column: issue) and the action taken (column: outcome) to address the issue (e.g. delete record or update values in specific fields).

    The link to the catalogues of controlled terminologies can be found under "Related identifiers”.

    Annex_ DomoicAcid

    Table of contents

    Table A1

    Description of FoodEx2 codes used to describe scallop species and their anatomical parts

    Table A2

    Data cleaning steps applied to occurrence data on domoic acid in scallops

    Table A3

    Percentage of Left-Censored data and descriptive statistics for Limits of detection (LODs) and Limits of quantification (LOQs) for domoic acid in scallops (mg/kg)

    Table A4

    Descriptive statistics for domoic acid in scallops (mg/kg) as reported in the cleaned database (statistics weighted by number of units per sample)

    Table A5

    Descriptive statistics of body tissue weights (g) of scallops as submitted by data providers

  15. d

    If Data Standards Follow Maslow’s Hierarchy of Needs, Are We Ready for...

    • catalog.data.gov
    • data.virginia.gov
    • +1more
    Updated Sep 6, 2025
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    Administration for Children and Families (2025). If Data Standards Follow Maslow’s Hierarchy of Needs, Are We Ready for Safety? [Dataset]. https://catalog.data.gov/dataset/if-data-standards-follow-maslows-hierarchy-of-needs-are-we-ready-for-safety
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    Dataset updated
    Sep 6, 2025
    Dataset provided by
    Administration for Children and Families
    Description

    In the 1940s, renowned psychologist Abraham Maslow first published his work on human motivation. Maslow believed that human beings were motivated to fulfill certain needs. Further, he hypothesized that it was only when basic needs were met that individuals could move on to achieve higher-level goals. It is useful to think of data system needs according to a similar hierarchy—by meeting basic functioning requirements before systems can reasonably be expected to perform more advanced functions. This webinar will examine the experience of Maryland’s child welfare agencies and the data standards challenges they face, from counting child protective services and in-home cases, to counting children in out-of-home care, and to assuring that their Statewide Automated Child Welfare Information System is meeting minimum data standards for Federal reporting (i.e., the National Child Abuse and Neglect Data System, the Adoption and Foster Care Analysis and Reporting System, caseworker visitation, and the National Youth in Transition Database). But among all of Maryland's challenges, none have been more daunting than client identification and establishing basic interagency interfaces. We will present stories of frustration from Maryland child welfare agencies about the problems related to these very basic data standards. While resolutions to these problems have been elusive for Maryland, the webinar will describe how—through the implementation of IT modernization efforts—the State hopes to address these vexing challenges. The speakers for this webinar will be David Ayer, director, Research, Evaluation and Systems Development, Maryland Department of Health and Human Services, as well as members of his team. Metadata-only record linking to the original dataset. Open original dataset below.

  16. o

    Supervised Access Program Centre statistical reporting

    • data.ontario.ca
    • ouvert.canada.ca
    • +1more
    csv
    Updated Apr 14, 2021
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    Attorney General (2021). Supervised Access Program Centre statistical reporting [Dataset]. https://data.ontario.ca/dataset/supervised-access-program-centre-statistical-reporting
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    csv(None)Available download formats
    Dataset updated
    Apr 14, 2021
    Dataset authored and provided by
    Attorney General
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Time period covered
    Apr 30, 2015
    Area covered
    Ontario
    Description

    The Supervised Access Program provides separated and divorced families with a safe, neutral, child-focused meeting place. This is used for visits and exchanges between children and non-custodial parents or other adults, such as grandparents, where there are safety concerns. Contact is supervised by trained staff and volunteers.

  17. Perceptions of safety in different places among young people in Italy 2020

    • statista.com
    Updated May 23, 2025
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    Statista (2025). Perceptions of safety in different places among young people in Italy 2020 [Dataset]. https://www.statista.com/statistics/1153915/perceptions-of-safety-in-different-places-among-young-people-in-italy/
    Explore at:
    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Italy
    Description

    In a survey published in 2021, public meeting points in the city, such as the city center, streets, squares, and parks, represented the places in which 35 percent of young people in Italy felt less safe. Similarly, other meeting places like bars and clubs were indicated by 34 percent of respondents. However, a large share of young interviewees pointed out online spaces such as meeting apps or social media as unsafe. Indeed, respondents aged 13 to 23 years perceived cyber-bullying as the major threat for people of their age.

  18. Evaluation of the shucking of certain species of scallops contaminated with...

    • data.niaid.nih.gov
    Updated Aug 6, 2021
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    EFSA CONTAM Panel; Schrenk, Dieter; Bignami, Margherita; Bodin, Laurent; Chipman, Kevin; del Mazo, Jesús; Grasl-Kraupp, Bettina; Hogstrand, Christer; Leblanc, Jean-Charles; Nebbia, Carlo Stefano; Nielsen, Elsa; Ntzani, Evangelia; Petersen, Annette; Sand, Salomon; Schwerdtle, Tanja; Vleminckx, Christiane; Wallace, Heather; Martinez, Ana Gago; Gerssen, Arjen; Tubaro, Aurelia; Cascio, Claudia; Cortiñas  Abrahantes, José; Steinkellner, Hans; Hoogenboom, Laurentius (Ron) (2021). Evaluation of the shucking of certain species of scallops contaminated with lipophilic toxins with a view to the production of edible parts meeting the safety requirements foreseen in the Union legislation - Summary statistics on occurrence and consumption data and exposure assessment results [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4472865
    Explore at:
    Dataset updated
    Aug 6, 2021
    Dataset provided by
    Federal Institute for Risk Assessmenthttps://www.bfr.bund.de/
    The European Food Safety Authorityhttp://www.efsa.europa.eu/
    RIKILT
    French Alternative Energies and Atomic Energy Commission (CEA), France
    Spanish National Research Council (Agencia Estatal Consejo Superior de Investigaciones Científicas, CSIC), Spain
    French Agency for Food, Environmental and Occupational Health & Safety (Agence Nationale de Sécurité Sanitaire de l'Alimentation, de l'Environnement et du Travail, ANSES), France
    University of Aberdeen, The United Kingdom
    Wageningen Food Safety Research (WFSR), The Netherlands
    University of Kaiserslautern, Germany
    National Food Agency, Sweden
    Italian National Institute of Health (Istituto Superiore di Sanita, ISS), Italy
    Medical University of Vienna, Austria
    University of Ioannina, Greece
    University of Birmingham, The United Kingdom
    King's College London, The United Kingdom
    Sciensano (Sciensano), Brussels, Belgium
    National Food Institute, Technical University of Denmark, Denmark
    University of Turin, Italy
    University of Trieste, Italy
    University of Vigo, Spain
    Authors
    EFSA CONTAM Panel; Schrenk, Dieter; Bignami, Margherita; Bodin, Laurent; Chipman, Kevin; del Mazo, Jesús; Grasl-Kraupp, Bettina; Hogstrand, Christer; Leblanc, Jean-Charles; Nebbia, Carlo Stefano; Nielsen, Elsa; Ntzani, Evangelia; Petersen, Annette; Sand, Salomon; Schwerdtle, Tanja; Vleminckx, Christiane; Wallace, Heather; Martinez, Ana Gago; Gerssen, Arjen; Tubaro, Aurelia; Cascio, Claudia; Cortiñas  Abrahantes, José; Steinkellner, Hans; Hoogenboom, Laurentius (Ron)
    License

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

    Description

    The file contains the raw occurrence dataset on lipophilic toxins as extracted from EFSA DWH on 9 June 2020 on 16,845 analytical results presented in the opinion as described in its section 1.3.2. Occurrence data submitted to EFSA. The data is provided in csv format. This dataset is compliant with EFSA SSD model and contains two additional columns documenting issues identified in the cleaning process (column: issue) and the action taken (column: action) to address the issue (e.g. delete record or update values in specific fields). The link to the catalogues of controlled terminologies can be found under "Related identifiers”.

  19. f

    Data Sheet 1_Improving cross-learning in clinical teams using daily on-site...

    • figshare.com
    pdf
    Updated Sep 24, 2025
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    Nawal Khattabi; Ros Axel; Reem AlAbdulmalik; Amal Al-Ali; Erik Hollnagel (2025). Data Sheet 1_Improving cross-learning in clinical teams using daily on-site reflective meetings.pdf [Dataset]. http://doi.org/10.3389/frhs.2025.1630722.s001
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Sep 24, 2025
    Dataset provided by
    Frontiers
    Authors
    Nawal Khattabi; Ros Axel; Reem AlAbdulmalik; Amal Al-Ali; Erik Hollnagel
    License

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

    Description

    IntroductionLearning is fundamental for improving patient safety and quality. Historically, people have focused on learning from unsuccessful performances, such as accidents, incidents, or near-misses. Contemporary approaches to patient safety emphasize the importance of learning from successful everyday work. This approach to learning is less common in the healthcare system and does not carry the same sense of urgency as learning from work that does not go well. Broadening an organization's learning strategies to include learning from everyday work requires adopting new methods and mindsets.MethodsThis study describes the experience of implementing the Resilient Performance Enhancement Toolkit (RPET) in a multisite primary care organization. RPET was introduced through structured daily reflective meetings aimed at fostering cross learning, team adaptation and real-time reflection. Qualitative feedback and thematic observations were collected to explore its impact.ResultsThe use of RPET varied across 27 Health Centers (HC), with seven early adopters (29 teams) maintaining consistent practices despite pandemic disruptions. By 2023, meeting frequency stabilized, ranging from daily to monthly. Teams reported improvements in patient safety, communication, and team learning, while identifying challenges such as time constraints and interdepartmental coordination. Key benefits included enhanced teamwork, increased risk identification and improved staff morale.ConclusionEmbedding reflective practices into daily routines through RPET can strengthen organizational learning and resilience. This approach offers a practical method for shifting healthcare systems toward proactive, Safety-II aligned strategies that support continuous improvement in dynamic clinical environments.

  20. T

    JTI JSI Conference and Meeting Expenditures By Type

    • controllerdata.lacity.org
    • data.wu.ac.at
    csv, xlsx, xml
    Updated May 1, 2015
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    Controller (2015). JTI JSI Conference and Meeting Expenditures By Type [Dataset]. https://controllerdata.lacity.org/w/2j43-fbmc/67yx-ht7g?cur=q84ZxX9X0mh
    Explore at:
    xlsx, csv, xmlAvailable download formats
    Dataset updated
    May 1, 2015
    Dataset authored and provided by
    Controller
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Conference and meeting expenditure details for the Joint Safety Institute and the Joint Training Institute.

    Financial documents and underlying data relating to City Controller Ron Galperin's audits of two trusts, the Joint Training Institute and the Joint Safety Institute. The two trusts are fully funded by the Department of Water and Power (DWP) and managed by an appointed board made up of equal numbers of representatives from DWP management and from the International Brotherhood of Electrical Workers (IBEW) Local 18, which represents the majority of workers at the DWP. All information below was compiled by the City's auditors for these two audits. For more information, visit: https://controllerdata.lacity.org/Audits-and-Reports/Joint-Training-Institute-JTI-and-Joint-Safety-Inst/4i3e-krmq

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Taipei City Police Department (2022). Taipei City Community Safety Meeting Statistics Table [Dataset]. https://data.gov.tw/en/datasets/151685

Taipei City Community Safety Meeting Statistics Table

Explore at:
csvAvailable download formats
Dataset updated
Apr 23, 2022
Dataset authored and provided by
Taipei City Police Department
License

https://data.gov.tw/licensehttps://data.gov.tw/license

Area covered
Taipei City
Description

A statistical table of the handling of community public safety meetings by the police station's branch.

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