60 datasets found
  1. Inflation: Drivers and Dynamics Conference 2025

    • clevelandfed.org
    Updated Sep 29, 2025
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    Federal Reserve Bank of Cleveland (2025). Inflation: Drivers and Dynamics Conference 2025 [Dataset]. https://www.clevelandfed.org/events/inflation-drivers-and-dynamics/2025/ev-20250929-inflation-drivers-and-dynamics-conference-2025
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    Dataset updated
    Sep 29, 2025
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    The European Central Bank (ECB) and the Center for Inflation Research at the Federal Reserve Bank of Cleveland hosted the Inflation: Drivers and Dynamics 2025 Conference on September 29–30 in person at the ECB. This annual conference brought together top researchers and policymakers from academia, central banks, and other policy institutions to present research findings related to inflation

  2. Data from: Trading Places: My New View from Inside the Federal Reserve

    • clevelandfed.org
    Updated Feb 27, 2025
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    Federal Reserve Bank of Cleveland (2025). Trading Places: My New View from Inside the Federal Reserve [Dataset]. https://www.clevelandfed.org/collections/speeches/2025/sp-20250227-trading-places-my-new-view-from-inside-the-federal-reserve
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    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    Beth M. Hammack—President and Chief Executive Officer-Federal Reserve Bank of Cleveland- Columbia University School of International and Public Affairs and The Bank Policy Institute, 9th Annual SIPA/BPI Bank Regulation Research Conference, New York, New York, February 27, 2025, 1:15 PM EST

  3. Jerome Powell Press Release Q&A

    • kaggle.com
    zip
    Updated Aug 24, 2025
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    Jonathan Paserman (2025). Jerome Powell Press Release Q&A [Dataset]. https://www.kaggle.com/datasets/jonathanpaserman/fed-press-release-text
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    zip(708307 bytes)Available download formats
    Dataset updated
    Aug 24, 2025
    Authors
    Jonathan Paserman
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Jerome Powell FED Press Conference Transcripts Dataset

    Dataset Overview

    The most comprehensive collection of Jerome Powell's Federal Reserve press conference transcripts (2018-2025) - perfect for NLP, sentiment analysis, and financial market research!

    This dataset contains clean, structured transcripts from every FOMC press conference where Jerome Powell spoke as Federal Reserve Chair, with automated name tagging and text cleaning for immediate use in machine learning projects, data analysis or research.

    ML Project ideas:

    • LLM fine tuning - Create a Jerome Powell LLM, and ask it what will the FED do
    • Sentiment Analysis - How Powell's tone affects markets
    • Topic Modeling - Key themes in Fed communications
    • Named Entity Recognition - Financial figure identification
    • Time Series Analysis - Policy evolution over time
    • Predictive Modeling - Market reaction forecasting

    📊 Dataset Statistics - Data Points: 50,000+ text segments - Time Coverage: 6+ years of Fed communications - Market Events: 3 major economic cycles - Policy Changes: 15+ interest rate decisions - Market Impact: $100+ billion in daily volatility

    🔥 Community ideas:

    1. "Powell Sentiment Index"

    • Real-time Fed sentiment scoring
    • Market Impact: Predict market reactions to Fed communications
    • Social Sharing: Daily sentiment updates on Twitter/LinkedIn #### 2. "Fed Policy Predictor"
    • Predict Fed decisions before they happen
    • Accuracy: Historical prediction validation
    • Engagement: Weekly prediction contests #### 3. "Powell Word Cloud Generator" ☁️
    • Visual representation of Fed priorities
    • Interactive: Real-time word cloud updates
    • Shareable: Perfect for social media #### 4. "Market Reaction Analyzer" Quantify Powell's market impact
    • Real-time: Live analysis during press conferences
    • Trading: Identify profitable trading opportunities

    Author: Jonathan Paserman

  4. Financial Stability Conference

    • clevelandfed.org
    Updated Nov 22, 2024
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    Federal Reserve Bank of Cleveland (2024). Financial Stability Conference [Dataset]. https://www.clevelandfed.org/events/financial-stability-conference
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    Dataset updated
    Nov 22, 2024
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    The Cleveland Fed and the Office of Financial Research host an annual conference focused on financial stability issues for academics, practitioners, regulators, and policymakers.

  5. Financial Stability Conference on Nov 29-30 in DC, sponsored by Cleveland...

    • clevelandfed.org
    Updated Nov 15, 2018
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    Federal Reserve Bank of Cleveland (2018). Financial Stability Conference on Nov 29-30 in DC, sponsored by Cleveland Fed and Office of Financial Research [Dataset]. https://www.clevelandfed.org/collections/press-releases/2018/pr-20181115-financial-stability-conference
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    Dataset updated
    Nov 15, 2018
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Area covered
    Washington
    Description

    The conference will focus on transmission channels for financial market disruptions and the resulting spillovers.

  6. Inflation: Drivers and Dynamics Conference 2023

    • clevelandfed.org
    Updated Aug 31, 2023
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    Federal Reserve Bank of Cleveland (2023). Inflation: Drivers and Dynamics Conference 2023 [Dataset]. https://www.clevelandfed.org/events/inflation-drivers-and-dynamics/2023/ev-20230831-inflation-drivers-and-dynamics-conference-2023
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    Dataset updated
    Aug 31, 2023
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    The Center for Inflation Research at the Federal Reserve Bank of Cleveland and the European Central Bank (ECB) hosted the Inflation: Drivers and Dynamics 2023 Conference on August 31–September 1 in person in Frankfurt am Main, Germany.

  7. Inflation: Drivers and Dynamics Conference 2024

    • clevelandfed.org
    Updated Oct 24, 2024
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    Federal Reserve Bank of Cleveland (2024). Inflation: Drivers and Dynamics Conference 2024 [Dataset]. https://www.clevelandfed.org/events/inflation-drivers-and-dynamics/2024/ev-20241024-inflation-drivers-and-dynamics-conference-2024
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    Dataset updated
    Oct 24, 2024
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    The Center for Inflation Research at the Federal Reserve Bank of Cleveland and the European Central Bank (ECB) hosted the Inflation: Drivers and Dynamics 2024 conference October 24–25. It brought together top researchers from academia, central banks, and other policy institutions to present research findings related to inflation.

  8. NFDI Network Analysis / NFDI Netzwerkanalyse

    • meta4ds.fokus.fraunhofer.de
    csv, pdf, unknown
    Updated Aug 10, 2025
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    Zenodo (2025). NFDI Network Analysis / NFDI Netzwerkanalyse [Dataset]. https://meta4ds.fokus.fraunhofer.de/datasets/oai-zenodo-org-14544128?locale=en
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    unknown(2752), csv(40176), pdf(125477)Available download formats
    Dataset updated
    Aug 10, 2025
    Dataset authored and provided by
    Zenodohttp://zenodo.org/
    License

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

    Description

    Lukas C. Bossert would like to thank the Federal Government and the Federal Ministry of Research, Technology and Space for their initiative within the framework of the Data Literacy Centers - project number 16DKZ2030E. The contributor Évariste Demandt would like to thank the Federal Government and the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their initiative within the framework of the NFDI4Ing consortium (German Research Foundation (DFG) - project number 442146713).

  9. Dataset: Problem-centred interviews results for Matching Data Life Cycle and...

    • meta4ds.fokus.fraunhofer.de
    unknown
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    Zenodo, Dataset: Problem-centred interviews results for Matching Data Life Cycle and Research Processes in Engineering Sciences [Dataset]. https://meta4ds.fokus.fraunhofer.de/datasets/oai-zenodo-org-11198842?locale=en
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    unknown(11449)Available download formats
    Dataset authored and provided by
    Zenodohttp://zenodo.org/
    License

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

    Description

    The authors would like to thank the Federal Government and the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their funding and support within the framework of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713.

  10. e

    From Plans to Land Change: Dynamics of Urban Regions. Book of Abstracts

    • envidat.ch
    • data.europa.eu
    .pdf, not available
    Updated Jun 5, 2025
    + more versions
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    Snow Swiss Federal Institute For Forest (2025). From Plans to Land Change: Dynamics of Urban Regions. Book of Abstracts [Dataset]. http://doi.org/10.16904/envidat.217
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    .pdf, not availableAvailable download formats
    Dataset updated
    Jun 5, 2025
    Dataset provided by
    Swiss Federal Institute for Forest, Snow and Landscape Research WSL
    Authors
    Snow Swiss Federal Institute For Forest
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Switzerland
    Dataset funded by
    WSL
    Description

    Book of abstracts from the virtual conference "From Plans to Land Change: Dynamics of Urban Regions" Cities and urban regions are among the most dynamic land-use systems in the world, with dramatic consequences for the provision of ecosystem services and the livelihood of people. Planning is a multifaceted activity with extensive experience in the management of these urbanization processes. However, our understanding of planning’s contribution to shaping urban land use, form and structure is still incomplete, with serious consequences for the efficacy of urban planning and land change models. This international conference aims to bring together the community of scholars working on planning evaluation and urban modelling. The participants are offered the opportunity to present their current research and to discuss how theoretical developments, data sources, comparative studies and modelling approaches might advance the field. The conference was financially supported by the CONCUR project and sustained by Swiss Federal Research Institute WSL.

  11. e

    Non-Binary Environmental Archive Data (NEAD) format

    • envidat.ch
    json, not available +2
    Updated May 29, 2025
    + more versions
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    Ionuț Iosifescu Enescu; Mathias Bavay; Kenneth Mankoff (2025). Non-Binary Environmental Archive Data (NEAD) format [Dataset]. http://doi.org/10.16904/envidat.187
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    txt, not available, xml, jsonAvailable download formats
    Dataset updated
    May 29, 2025
    Dataset provided by
    WSL Institute for Snow and Avalanche Research SLF
    GEUS
    Swiss Federal Institute for Forest, Snow and Landscape Research WSL
    Authors
    Ionuț Iosifescu Enescu; Mathias Bavay; Kenneth Mankoff
    License

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

    Area covered
    Switzerland
    Dataset funded by
    WSL
    GEUS
    SLF
    Description

    Acknowledgement: The NEAD format includes NetCDF metadata and is proudly inspired by both SMET and NetCDF formats. NEAD is designed as a long-term data preservation and exchange format.

    The NEAD specifications were presented at the "WMO Data Conference 2020 - Earth System Data Exchange in the 21st Century" (Virtual Conference).

    Summary: The Non-Binary Environmental Data Archive (NEAD) format is being developed as a generic and intuitive format that combines the self-documenting features of NetCDF with human readable and writeable features of CSV. It is designed for exchange and preservation of time series data in environmental data repositories. License: The NEAD specifications are released to the public domain under a Creative Commons CC0 "No Rights Reserved" international license. You can reuse the information contained herein in any way you want, for any purposes and without restrictions.

  12. 14th National Conference on Child Abuse and Neglect Presentation Materials

    • data.virginia.gov
    • catalog.data.gov
    html
    Updated Sep 5, 2025
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    Administration for Children and Families (2025). 14th National Conference on Child Abuse and Neglect Presentation Materials [Dataset]. https://data.virginia.gov/dataset/14th-national-conference-on-child-abuse-and-neglect-presentation-materials
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    htmlAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    Administration for Children and Families
    Description

    This page contains a collection of presentations and handouts from meetings, plenary and poster sessions, preconference and skills seminars, think tanks, and workshops held at the conference.

    CAPTA Research Grantees’ Annual Meeting – OCAN's Grantees' Meeting Opening Session (PDF) (PDF - 60 KB), presented by Sally Flanzer, Ph.D.

    The Relation of Adult Health to Adverse Childhood Experiences – Opening Plenary Keynote (PDF) (PDF - 515 KB), presented by Vincent Felitti, M.D., and Robert F. Anda, M.D. Attachments Past and Present: Implications for the Prevention of Child Maltreatment – Plenary One Keynote (PDF) (PDF - 424 KB), presented by Byron Egeland, Ph.D.

    Great Beginnings Start Before Birth: Strengthening Families through Early Prenatal Support Services and Father Involvement – Session 1 (PDF) (PDF - 40 KB), presented by Helen Reif CAPTA Amendments 2003: How Changes in Federal Law Can Affect State Agency Programs – Session 2 (PDF) (PDF - 64 KB), Presented by Suzan Cohen

    Management of Ethical Issues and Conflicts of Interest – Seminar B (PDF) (PDF - 51 KB), presented by Pamela R. Montgomery, A.C.S.W., and Elizabeth D. Still, M.A.

    Child and Animal Welfare: The Roots of Collaborative Programs and Re-Emergence of Interagency and Interdisciplinary Efforts – Skills Seminar C (PDF) (PDF - 45 KB), presented by Frank R. Ascione, Ph.D., and Deborah Ascione “The Relational Worldview:” A Tribal and Cultural Framework for Service Delivery and Program Development – Skills Seminar D (PDF) (PDF - 269 KB) Handout (PDF)(PDF - 35 KB), presented by Andy Hunt, M.S.W., and Nadja Printup, M.S.W. Effective Parent Leadership: A Practical Approach to Meaningful Partnerships Between Parents and Providers – Skills Seminar F (PDF) (PDF - 62 KB), presented by Teresa Rafael, M.S.W., Margaret Polinsky, Ph.D., Tanya Long, and Bunti Reed Abuse and Neglect of Children with Disabilities: A Collaborative Response – Skills Seminar I (PDF) (PDF - 88 KB), presented by Peggy O’Neill, Brian Colligan, and Vernon Simmons Quality Assurance, Risk Management and Documentation in the Record – Skills Seminar K (PDF) (PDF - 48 KB), presented by Bob Mitchell, A.C.S.W. Parent Child Interaction Therapy: Training for Professionals Working with High-Risk Families – Skills Seminar M (PDF) (PDF - 3,064 KB) Handout (PDF)(PDF - 82 KB), presented by Georganna Sedlar, Ph.D., Katherine Elliott, Ph.D., and Anthony Urquiza, Ph.D.

    Formulating a Multidisciplinary Comprehensive Research Agenda for the Prevention of Child Maltreatment (PDF) (PDF - 99 KB), presented by John Holton, Kathryn Harding, Nancy Peddle Tough Problems, Tough Choices: Casey's Guidelines for Needs-Based Service Planning in Child Welfare (PDF) (PDF - 235 KB), presented by Amy Printz Wintefeld, J.D., and Tracey Feild

    Metadata-only record linking to the original dataset. Open original dataset below.

  13. w

    Center for Urban Environmental Research and Education (CUERE)

    • data.wu.ac.at
    Updated Mar 8, 2017
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    Federal Laboratory Consortium (2017). Center for Urban Environmental Research and Education (CUERE) [Dataset]. https://data.wu.ac.at/odso/data_gov/MTRmY2Q4NjUtNjZkMy00MWNiLWI0NjktYjJkNzY1YmY2NmE4
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    Dataset updated
    Mar 8, 2017
    Dataset provided by
    Federal Laboratory Consortium
    Description

    The Center for Urban Environmental Research and Education (CUERE) at UMBC was created in 2001 with initial support from the U.S. Environmental Protection Agency and the U.S. Department of Housing and Urban Development. US EPA has provided ongoing additional support since the initial start-up grant.CUERE's mission is to advance the understanding of the environmental, social and economic consequences of the transformation of the urban landscape through research, conferences and symposia, support of university teaching programs and assistance to K-12 education. CUERE fosters interdisciplinary approaches to environmental science, engineering and public policy.The CUERE research team includes environmental engineers, scientists, and policy analysts. The center's research agenda focuses on relationships among natural and socioeconomic processes that occur in urban environments and their impact on public policy. The center is equipped with meeting facilities; integrated analytical, educational and research laboratories; and state-of-the-art computer and geographic information systems.Research and education programs sponsored by CUERE provide a critical link for state and local governmental agencies to better assess and respond to urban environmental issues.

  14. Professional Organizations in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Jun 5, 2017
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    IBISWorld (2017). Professional Organizations in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/industry/professional-organizations/6090
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    Dataset updated
    Jun 5, 2017
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Description

    Professional organizations in the United States have weathered considerable change over the past year, navigating heightened economic uncertainty, shifting demographics and evolving regulatory landscapes. While the national economy has grown, its pace has slowed, with almost a third of states either in recession or at high risk, which directly impacts organizations that depend on membership dues and event revenue. Rising unemployment and persistent inflation have prompted professionals to tighten their budgets, resulting in curbed discretionary spending and turbulent renewal rates in membership organizations. Despite these challenges, new digital and innovative services, such as career support, online resource libraries and strategic partnerships, have helped associations diversify their revenue streams, boost engagement and maintain a constant presence during volatile economic cycles. As a result, industry revenue has risen at a CAGR of 0.5% over the past five years, including a 0.8% increase in this year, reaching $26.7 billion in 2025. Over the past five years, professional organizations have undergone a sweeping digital transformation, achieving steady financial growth even amid economic volatility. Profit has grown at a CAGR of 4.5% during this period, driven by the adoption of digital technologies and diversified revenue models. Nearly half of all organizational programming is now delivered online, a strategic move that responds to the preferences of younger professionals for flexible, remote and mobile-first engagement. These virtual offerings have not only cut costs associated with physical events but have also generated new income streams through digital certification, subscription-based learning and hybrid conferences. As baby boomers retire and Gen Z professionals enter the workforce, the shift toward cost-effective, scalable solutions has reinforced steady profit expansion by enabling organizations to serve broader and more dynamic audiences. Looking ahead, the pressure for innovation and adaptation will only intensify. Shrinking federal support, especially under recent Trump administration policies, has prompted organizations to diversify funding, rely more on private grants and overhaul practices to comply with revised education and DEI standards. Success in this new environment will require ongoing investment in technology, a robust social media presence and a balanced approach to serving both retirees and Gen Z entrants. Those that harness data-driven strategies, foster multigenerational engagement and continuously update their services to reflect workforce trends will not only mitigate risks but also position themselves as indispensable resources for professionals seeking career growth. In turn, industry revenue is forecast to climb at a CAGR of 0.7% to $27.6 billion from 2025 to 2030.

  15. 2025 Financial Stability Conference

    • clevelandfed.org
    Updated Nov 20, 2025
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    Federal Reserve Bank of Cleveland (2025). 2025 Financial Stability Conference [Dataset]. https://www.clevelandfed.org/events/financial-stability-conference/2025/ev-20251120-financial-stability-conference
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    Dataset updated
    Nov 20, 2025
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    The Federal Reserve Bank of Cleveland will host their thirteenth annual financial stability conference on November 20-21, 2025.

  16. f

    DataSheet1_Focused Research on the Challenges and Productivity of...

    • frontiersin.figshare.com
    pdf
    Updated Jun 1, 2023
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    Bernard E. Igiri; Stanley I. R. Okoduwa; Ebere P. Akabuogu; Ugochi J. Okoduwa; Idongesit A. Enang; Olanipekun O. Idowu; Suleiman Abdullahi; Imeh E. Onukak; Catherine C. Onuruka; Ogechukwu P.O. Christopher; Akinbobola O. Salawu; Aimee O. Chris; David I. Onyemachi (2023). DataSheet1_Focused Research on the Challenges and Productivity of Researchers in Nigerian Academic Institutions Without Funding.pdf [Dataset]. http://doi.org/10.3389/frma.2021.727228.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Bernard E. Igiri; Stanley I. R. Okoduwa; Ebere P. Akabuogu; Ugochi J. Okoduwa; Idongesit A. Enang; Olanipekun O. Idowu; Suleiman Abdullahi; Imeh E. Onukak; Catherine C. Onuruka; Ogechukwu P.O. Christopher; Akinbobola O. Salawu; Aimee O. Chris; David I. Onyemachi
    License

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

    Area covered
    Nigeria
    Description

    Background: The challenge of research funding constraints has brought to bear enormous pressure on researchers. Research productivity is relevant to prestige and career progression of academic staff. However, this study aimed to explore significant challenges associated with researchers’ productivity and the impact of non-funding of research in Nigerian research and tertiary institutions.Methods: This study adopted a qualitative exploratory design involving academics at various research and tertiary institutions across the six geographical regions in Nigeria. A semi-structured questionnaire was distributed electronically to all participants who consented to take part in this study. Exactly 4,159 questionnaires were administered and 2,350 were completely filled and returned. Pearson correlation matrices with logistic regression were used for data analysis and are presented in frequencies and percentages.Results: On challenges faced by respondents, 42.98% reported a lack of research funding, 17.11% mentioned brain drain challenge while 8.85% indicated a lack of motivation. Of the 23,927 publications reported, the number of those in sciences, engineering, and medical sciences averaged 9.6, 11.5, and 9.5 respectively. The average number of publications by women (10.8) was more than by men (9.7). Lecturers had the highest average research publication number (11.8) followed by researchers (10.2) and others (3.9). Men had the highest (11.9) average number of conferences compared to women (9.2). Participants in engineering had an average number of 13.8 conferences per respondents followed by those in education (11.2), sciences (11.1), and 10.9 for those in agricultural sciences. The result revealed a negative significant correlation between research publication and academic qualification at p < 0.01. Positive significant correlation was observed between research productivity and discipline at p < 0.05. Findings show that the combined influence of the independent variables on research productivity was significant using linear regression analysis.Conclusions: The failure to prioritize research has resulted in underdevelopment in Nigeria. It is therefore imperative that the federal government prioritize research and establish a functional Special Research Trust Fund to oversee research funding in Nigeria.

  17. Research Data Management Framework - POC-Study: Guideline and protocol

    • zenodo.org
    pdf
    Updated Dec 31, 2024
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    Tobias Hamann; Tobias Hamann (2024). Research Data Management Framework - POC-Study: Guideline and protocol [Dataset]. http://doi.org/10.5281/zenodo.14205127
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    pdfAvailable download formats
    Dataset updated
    Dec 31, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Tobias Hamann; Tobias Hamann
    License

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

    Description

    Dataset for the following paper:

    Proof-Of-Concept-Studie für das FDM in den Ingenieur:innenwissenschaften

    Ein Forschungsdatenmanagement-Rahmenwerk
    T. Hamann, C. Florides, A. Abdelrazeq, R. H. Schmitt

    Forschungsdatenmanagement (FDM) gewinnt seit Jahren an Bedeutung. Das Ziel, Daten wiederverwendbar aufzubereiten und nachzunutzen anstatt sie aufwändig neu zu erheben, wird von Forschenden der deutschen Ingenieur:innenwissenschaften jedoch nur selten verfolgt. Um dem entgegenzuwirken, wurde ein Rahmenwerk für das FDM in den Ingenieur:innenwissenschaften entwickelt. In einer Proof-Of-Concept-Studie soll dieses nun erstmals anhand des Forschungsprojekts KIOptiPack validiert werden.

    A Research Data Management Framework

    Research data management (RDM) has been gaining in importance for years. However, the goal of preparing data sustainably and reusing existing data instead of laboriously collecting it from scratch is rarely pursued by researchers in the German engineering sciences. To counteract this, a framework for RDM in the engineering sciences was developed. In a proof-of-concept study, this framework will be validated for the first time using the research project KIOptiPack.
    Stichwörter: Forschung, Informationsmanagement, Digitalisierung


    The authors would like to thank the Federal Government and the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their funding and support within the framework of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713.

  18. Inflation: Drivers and Dynamics Conference 2022

    • clevelandfed.org
    Updated Sep 29, 2022
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    Federal Reserve Bank of Cleveland (2022). Inflation: Drivers and Dynamics Conference 2022 [Dataset]. https://www.clevelandfed.org/events/inflation-drivers-and-dynamics/2022/ev-20220929-inflation-drivers-and-dynamics-conference-2022
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    Dataset updated
    Sep 29, 2022
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    The Federal Reserve Bank of Cleveland’s Center for Inflation Research and the European Central Bank (ECB) hosted the Inflation: Drivers and Dynamics Conference 2022 on September 29–30.

  19. I

    TextTransfer: Datasets for Impact Detection

    • databank.illinois.edu
    Updated Mar 21, 2024
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    Maria Becker; Kanyao Han; Antonina Werthmann; Rezvaneh Rezapour; Haejin Lee; Jana Diesner; Andreas Witt (2024). TextTransfer: Datasets for Impact Detection [Dataset]. http://doi.org/10.13012/B2IDB-9934303_V1
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    Dataset updated
    Mar 21, 2024
    Authors
    Maria Becker; Kanyao Han; Antonina Werthmann; Rezvaneh Rezapour; Haejin Lee; Jana Diesner; Andreas Witt
    License

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

    Dataset funded by
    German Federal Ministry of Education and Research
    Description

    Impact assessment is an evolving area of research that aims at measuring and predicting the potential effects of projects or programs. Measuring the impact of scientific research is a vibrant subdomain, closely intertwined with impact assessment. A recurring obstacle pertains to the absence of an efficient framework which can facilitate the analysis of lengthy reports and text labeling. To address this issue, we propose a framework for automatically assessing the impact of scientific research projects by identifying pertinent sections in project reports that indicate the potential impacts. We leverage a mixed-method approach, combining manual annotations with supervised machine learning, to extract these passages from project reports. This is a repository to save datasets and codes related to this project. Please read and cite the following paper if you would like to use the data: Becker M., Han K., Werthmann A., Rezapour R., Lee H., Diesner J., and Witt A. (2024). Detecting Impact Relevant Sections in Scientific Research. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING). This folder contains the following files: evaluation_20220927.ods: Annotated German passages (Artificial Intelligence, Linguistics, and Music) - training data annotated_data.big_set.corrected.txt: Annotated German passages (Mobility) - training data incl_translation_all.csv: Annotated English passages (Artificial Intelligence, Linguistics, and Music) - training data incl_translation_mobility.csv: Annotated German passages (Mobility) - training data ttparagraph_addmob.txt: German corpus (unannotated passages) model_result_extraction.csv: Extracted impact-relevant passages from the German corpus based on the model we trained rf_model.joblib: The random forest model we trained to extract impact-relevant passages Data processing codes can be found at: https://github.com/khan1792/texttransfer

  20. d

    Federally recognized Alaskan tribes and village locations

    • dataone.org
    • search.dataone.org
    • +2more
    Updated Mar 14, 2019
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    Jeanette Clark (2019). Federally recognized Alaskan tribes and village locations [Dataset]. http://doi.org/10.5063/F1VX0DSS
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    Dataset updated
    Mar 14, 2019
    Dataset provided by
    Knowledge Network for Biocomplexity
    Authors
    Jeanette Clark
    Time period covered
    Jan 1, 2016
    Area covered
    Variables measured
    lat, lng, City, Name, region
    Description

    There are 229 federally recognized tribes in the state of Alaska. These tribes are eligible for funding and services from the Bureau of Indian Affairs (BIA). The list of federally recognized tribes in Alaska was obtained from the National Conference of State Legislature (http://www.ncsl.org/research/state-tribal-institute/list-of-federal-and-state-recognized-tribes.aspx). Locations were assigned based on the village name, and were geolocated using the United States Geological Survey places dataset. The output data file (federally_recognized_tribes_geolocated.csv) includes the name, city, region, and coordinates associated with each federally recognized tribe in Alaska. The package also includes the .Rmd file (tribes_geolocating.Rmd) detailing the processing steps and the rendered .html file (tribes_geolocating.html), which includes a datatable and interactive map.

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Federal Reserve Bank of Cleveland (2025). Inflation: Drivers and Dynamics Conference 2025 [Dataset]. https://www.clevelandfed.org/events/inflation-drivers-and-dynamics/2025/ev-20250929-inflation-drivers-and-dynamics-conference-2025
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Inflation: Drivers and Dynamics Conference 2025

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Dataset updated
Sep 29, 2025
Dataset authored and provided by
Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
Description

The European Central Bank (ECB) and the Center for Inflation Research at the Federal Reserve Bank of Cleveland hosted the Inflation: Drivers and Dynamics 2025 Conference on September 29–30 in person at the ECB. This annual conference brought together top researchers and policymakers from academia, central banks, and other policy institutions to present research findings related to inflation

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