4 datasets found
  1. Pharma Data | Global Pharmaceutical Industry | Verified Profiles with...

    • datarade.ai
    Updated Feb 12, 2018
    + more versions
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    Success.ai (2018). Pharma Data | Global Pharmaceutical Industry | Verified Profiles with Business Details | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/pharma-data-global-pharmaceutical-industry-verified-profi-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Feb 12, 2018
    Dataset provided by
    Area covered
    Aruba, Syrian Arab Republic, Mali, Madagascar, Saint Helena, Marshall Islands, Rwanda, Canada, Liberia, Trinidad and Tobago
    Description

    Success.ai’s Pharma Data for the Global Pharmaceutical Industry provides a robust dataset tailored for businesses looking to connect with pharmaceutical companies, decision-makers, and key stakeholders worldwide. Covering pharmaceutical manufacturers, research organizations, biotech firms, and distributors, this dataset offers verified SIC codes, firmographic details, and contact information for executives and operational leads.

    With access to over 170 million verified professional profiles and 30 million company profiles, Success.ai ensures your outreach, market research, and business development strategies are driven by reliable, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution is essential for navigating the competitive global pharmaceutical landscape.

    Why Choose Success.ai’s Pharma Data?

    1. Verified Contact Data for Precision Outreach

      • Access verified work emails, phone numbers, and LinkedIn profiles of pharmaceutical executives, R&D leads, compliance officers, and procurement managers.
      • AI-driven validation ensures 99% accuracy, optimizing your campaigns and improving communication efficiency.
    2. Comprehensive Coverage of the Global Pharmaceutical Sector

      • Includes profiles of pharmaceutical companies, biotech firms, contract manufacturing organizations (CMOs), and distributors across North America, Europe, Asia, and other major markets.
      • Gain insights into regional pharmaceutical trends, product pipelines, and market dynamics unique to global markets.
    3. Continuously Updated Datasets

      • Real-time updates reflect leadership changes, mergers, product launches, and regulatory compliance shifts.
      • Stay aligned with the fast-paced pharmaceutical industry to capitalize on emerging opportunities and maintain relevance.
    4. Ethical and Compliant

      • Adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible use of data and compliance with legal standards.

    Data Highlights:

    • 170M+ Verified Professional Profiles: Engage with decision-makers, R&D specialists, and operational leaders in the pharmaceutical industry worldwide.
    • 30M Company Profiles: Access detailed firmographic data, including company sizes, revenue ranges, and geographic footprints.
    • Verified SIC Codes: Understand industry classifications and product specializations to refine your targeting strategies.
    • Leadership Contact Details: Connect with CEOs, COOs, medical directors, and regulatory managers influencing pharmaceutical operations.

    Key Features of the Dataset:

    1. Decision-Maker Profiles in Pharmaceuticals

      • Identify and engage with professionals overseeing R&D, clinical trials, supply chains, and regulatory compliance.
      • Target leaders responsible for drug development, vendor selection, and market entry strategies.
    2. Advanced Filters for Precision Targeting

      • Filter companies by industry segment (biotech, generic pharmaceuticals, vaccines), geographic location, or revenue size.
      • Tailor campaigns to align with specific needs such as drug pipeline acceleration, production scaling, or market expansion.
    3. SIC Codes and Firmographic Insights

      • Access verified SIC codes and detailed company profiles to understand market focus, operational scale, and specialization areas.
      • Use firmographic data to prioritize high-value targets and align product offerings with market demands.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes with pharmaceutical stakeholders.

    Strategic Use Cases:

    1. Sales and Lead Generation

      • Offer technology solutions, research tools, or contract services to pharmaceutical manufacturers, R&D facilities, and distribution networks.
      • Build relationships with procurement teams and compliance officers responsible for vendor approvals and operational excellence.
    2. Market Research and Product Development

      • Analyze global pharmaceutical trends, drug approval patterns, and regulatory frameworks to guide product innovation and market entry strategies.
      • Identify high-growth regions and emerging therapeutic areas to focus your resources effectively.
    3. Partnership and Supply Chain Development

      • Connect with pharmaceutical companies seeking contract manufacturing, raw material sourcing, or distribution partnerships.
      • Foster alliances that streamline production, ensure quality, and accelerate time-to-market.
    4. Regulatory Compliance and Risk Mitigation

      • Engage with regulatory officers and compliance managers overseeing adherence to local and international pharmaceutical standards.
      • Present solutions for documentation, reporting, and risk management to ensure compliance and operational efficiency.

    Why Choose Success.ai?

    1. Best Price Guarantee
      ...
  2. g

    Pharmaceutical manufacturing facilities as sources of pharmaceuticals to...

    • gimi9.com
    Updated Mar 1, 2018
    + more versions
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    (2018). Pharmaceutical manufacturing facilities as sources of pharmaceuticals to municipal wastewater treatment plant discharge in the United States, 2004-2017 | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_pharmaceutical-manufacturing-facilities-as-sources-of-pharmaceuticals-to-municipal-wa-2004
    Explore at:
    Dataset updated
    Mar 1, 2018
    Area covered
    United States
    Description

    Discharges from pharmaceutical manufacturing facilities (PMFs) previously have been identified as important sources of pharmaceuticals to the environment. Yet few studies are available to establish the influence of PMFs to the pharmaceutical source contribution to wastewater treatment plants (WWTPs) and waterways at the national scale. Consequently, a national network of 13 WWTPs receiving PMF discharges and 7 WWTPs with no PMF input (controls) were selected from across the United States to assess the influence of PMF input for a diverse suite of pharmaceuticals being formulated for a range of WWTP sizes. WWTP effluent samples were collected and analyzed for 120 pharmaceuticals and pharmaceutical degradates. Of these, 33 pharmaceuticals had concentrations significantly higher in PMF-influenced effluent (maximum 555,000 nanograms per liter) compared to effluent from control sites (maximum 175 nanograms per liter). Concentrations in PMF discharges are episodic and indicate that production activities can vary substantially over relatively short (several months) periods and the potential to rapidly transition to other pharmaceutical products. Results show that PMFs are an important, national-scale source of pharmaceuticals to the environment. Additional research is needed to determine if the observed elevated pharmaceutical concentrations discharged from PMF-influenced WWTPs translate to an increase in adverse environmental effects in corresponding waterways.

  3. Z

    OpenAIRE Graph: Dataset of funded products

    • data.niaid.nih.gov
    • gimi9.com
    • +2more
    Updated Aug 7, 2024
    + more versions
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    OpenAIRE Graph: Dataset of funded products [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4559725
    Explore at:
    Dataset updated
    Aug 7, 2024
    Dataset provided by
    Artini, Michele
    Atzori, Claudio
    Horst, Marek
    Ioannidis, Alexandros
    Vergoulis, Thanasis
    Mannocci, Andrea
    Kokogiannaki, Argiro
    Manghi, Paolo
    Foufoulas, Ioannis
    Bardi, Alessia
    Chatzopoulos, Serafeim
    Lempesis, Antonis
    La Bruzzo, Sandro
    De Bonis, Michele
    Baglioni, Miriam
    Kiatropoulou, Katerina
    Dimitropoulos, Harry
    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 metadata records about research products (research literature, data, software, other types of research products) with funding information available in the OpenAIRE Graph produced on July 2024.Records are grouped by funder in a dedicated archive file (

    fundRef contains the following funders

    100007490 Bausch and Lomb Ireland

    100007630 College of Engineering and Informatics, National University of Ireland, Galway

    100007731 Endo International

    100007819 Allergan

    100008099 Food Safety Authority of Ireland

    100008124 Department of Jobs, Enterprise and Innovation

    100008303 Department for Economics, Northern Ireland

    100009098 Department of Foreign Affairs and Trade, Ireland

    100009099 Irish Aid

    100009770 National University of Ireland

    100010399 European Society of Cataract and Refractive Surgeons

    100010546 Deparment of Children and Youth Affairs, Ireland

    100010547 Irish Youth Justice Service

    100010993 Irish Nephrology Society

    100011096 Jazz Pharmaceuticals

    100011396 Irish College of General Practitioners

    100012733 National Parks and Wildlife Service

    100012734 Department for Culture, Heritage and the Gaeltacht, Ireland

    100012754 Horizon Pharma

    100012891 Medical Research Charities Group

    100012919 Epilepsy Ireland

    100012920 GLEN

    100012921 Royal College of Surgeons in Ireland

    100013029 Iris O'Brien Foundation

    100013206 Food Institutional Research Measure

    100013381 Irish Phytochemical Food Network

    100013433 Transport Infrastructure Ireland

    100013917 Society for Musicology in Ireland

    100014251 Humanities in the European Research Area

    100014364 National Children's Research Centre

    100014384 Amarin Corporation

    100014902 Irish Association for Cancer Research

    100015023 Ireland Funds

    100015278 Pfizer Healthcare Ireland

    100015319 Sport Ireland Institute

    100015442 Global Brain Health Institute

    100015992 St. Luke's Institute of Cancer Research

    100017144 Shell E and P Ireland

    100017897 Friedreich’s Ataxia Research Alliance Ireland

    100018064 Department of Tourism, Culture, Arts, Gaeltacht, Sport and Media

    100018172 Department of the Environment, Climate and Communications

    100018175 Dairy Processing Technology Centre

    100018270 Health Service Executive

    100018529 Alkermes

    100018542 Irish Endocrine Society

    100018754 An Roinn Sláinte

    100019428 Nabriva Therapeutics

    100019637 Horizon Therapeutics

    100020174 Health Research Charities Ireland

    100020202 UCD Foundation

    100020233 Ireland Canada University Foundation

    100022895 Health Research Institute, University of Limerick

    100022943 National Cancer Registry Ireland

    501100001581 Arts Council of Ireland

    501100001582 Centre for Ageing Research and Development in Ireland

    501100001583 Cystinosis Foundation Ireland

    501100001584 Department of Agriculture, Food and the Marine, Ireland

    501100001586 Department of Education and Skills, Ireland

    501100001587 Economic and Social Research Institute

    501100001588 Enterprise Ireland

    501100001591 Heritage Council

    501100001592 Higher Education Authority

    501100001593 Irish Cancer Society

    501100001594 Irish Heart Foundation

    501100001595 Irish Hospice Foundation

    501100001596 Irish Research Council for Science, Engineering and Technology

    501100001598 Mental Health Commission

    501100001599 National Council for Forest Research and Development

    501100001600 Research and Education Foundation, Sligo General Hospital

    501100001601 Royal Irish Academy

    501100001603 Sustainable Energy Authority of Ireland

    501100001604 Teagasc

    501100001627 Marine Institute

    501100001628 Central Remedial Clinic

    501100001629 Royal Dublin Society

    501100001630 Dublin Institute for Advanced Studies

    501100001631 University College Dublin

    501100001633 National University of Ireland, Maynooth

    501100001634 University of Galway

    501100001635 University of Limerick

    501100001636 University College Cork

    501100001637 Trinity College Dublin

    501100001638 Dublin City University

    501100002736 Covidien

    501100002755 Brennan and Company

    501100002919 Cork Institute of Technology

    501100002959 Dublin City Council

    501100003036 Perrigo Company Charitable Foundation

    501100003037 Elan

    501100003496 HeyStaks Technologies

    501100003553 Gaelic Athletic Association

    501100003840 Irish Institute of Clinical Neuroscience

    501100003956 Aspect Medical Systems

    501100004162 Meath Foundation

    501100004210 Our Lady's Children's Hospital, Crumlin

    501100004321 Shire

    501100004981 Athlone Institute of Technology

    501100006518 Department of Communications, Energy and Natural Resources, Ireland

    501100006553 Collaborative Centre for Applied Nanotechnology

    501100006554 IDA Ireland

    501100006759 CLARITY Centre for Sensor Web Technologies

    501100009246 Technological University Dublin

    501100009269 Programme of Competitive Forestry Research for Development

    501100009315 Cystinosis Ireland

    501100010808 Geological Survey of Ireland

    501100011030 Alimentary Glycoscience Research Cluster

    501100011031 Alimentary Health

    501100011103 Rannís

    501100011626 Energy Policy Research Centre, Economic and Social Research Institute

    501100012354 Inland Fisheries Ireland

    501100014384 X-Bolt Orthopaedics

    501100014531 Physical Education and Sport Sciences Department, University of Limerick

    501100014710 PrecisionBiotics Group

    501100014745 APC Microbiome Institute

    501100014826 ADAPT - Centre for Digital Content Technology

    501100014827 Dormant Accounts Fund

    501100017501 FotoNation

    501100018641 Dairy Research Ireland

    501100018839 Irish Centre for High-End Computing

    501100019905 Galway University Foundation

    501100020270 Advanced Materials and Bioengineering Research

    501100020403 Irish Composites Centre

    501100020425 Irish Thoracic Society

    501100020570 College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway

    501100020871 Bernal Institute, University of Limerick

    501100021102 Waterford Institute of Technology

    501100021110 Irish MPS Society

    501100021525 Insight SFI Research Centre for Data Analytics

    501100021694 Elan Pharma International

    501100021838 Royal College of Physicians of Ireland

    501100022542 Breakthrough Cancer Research

    501100022610 Breast Cancer Ireland

    501100022728 Munster Technological University

    501100023273 HRB Clinical Research Facility Galway

    501100023551 Cystic Fibrosis Ireland

    501100023970 Tyndall National Institute

    501100024242 Synthesis and Solid State Pharmaceutical Centre

    501100024313 Irish Rugby Football Union

    501100024834 Tusla - Child and Family Agency

    AKA Academy of Finland

    ANR French National Research Agency (ANR)

    ARC Australian Research Council (ARC)

    ASAP Aligning Science Across Parkinson's

    CHISTERA CHIST-ERA

    CIHR Canadian Institutes of Health Research

    EC_ERASMUS+ European Commission - Erasmus+ funding stream

    EC_FP7 European Commission - FP7 funding stream

    EC_H2020 European Commission - H2020 funding stream

    EC_HE European Commission - HE funding stream

    EEA European Environment Agency

    EPA Environmental Protection Agency

    FCT Fundação para a Ciência e a Tecnologia, I.P.

    FWF Austrian Science Fund

    HRB Health Research Board

    HRZZ Croatian Science Foundation

    INCA Institut National du Cancer

    IRC Irish Research Council

    IReL Irish Research eLibrary

    MESTD Ministry of Education, Science and Technological Development of Republic of Serbia

    MZOS TOADDNAME

    NHMRC National Health and Medical Research Council (NHMRC)

    NIH National Institutes of Health

    NSERC Natural Sciences and Engineering Research Council of Canada

    NSF National Science Foundation

    NWO Netherlands Organisation for Scientific Research (NWO)

    SFI Science Foundation Ireland

    SNSF Swiss National Science Foundation

    SSHRC Social Sciences and Humanities Research Council

    TARA Tara Expeditions Foundation

    TIBITAK Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

    UKRI UK Research and Innovation

    WT Wellcome Trust

    Each tar archive contains gzip files with one json record per line. Json records are compliant with the schema available at https://doi.org/10.5281/zenodo.13121069.

    You can also search and browse this dataset (and more) in the OpenAIRE EXPLORE portal and via the OpenAIRE API.

  4. Drug Abuse Warning Network (DAWN), 2009

    • icpsr.umich.edu
    • healthdata.gov
    • +4more
    ascii, delimited, r +3
    Updated Nov 23, 2015
    + more versions
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    United States Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Center for Behavioral Health Statistics and Quality (2015). Drug Abuse Warning Network (DAWN), 2009 [Dataset]. http://doi.org/10.3886/ICPSR31921.v4
    Explore at:
    ascii, spss, stata, delimited, r, sasAvailable download formats
    Dataset updated
    Nov 23, 2015
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Center for Behavioral Health Statistics and Quality
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/31921/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/31921/terms

    Time period covered
    2009
    Area covered
    United States
    Description

    The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year. DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-Federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug-related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit. The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 22 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.

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Success.ai (2018). Pharma Data | Global Pharmaceutical Industry | Verified Profiles with Business Details | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/pharma-data-global-pharmaceutical-industry-verified-profi-success-ai
Organization logo

Pharma Data | Global Pharmaceutical Industry | Verified Profiles with Business Details | Best Price Guaranteed

Explore at:
.bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
Dataset updated
Feb 12, 2018
Dataset provided by
Area covered
Aruba, Syrian Arab Republic, Mali, Madagascar, Saint Helena, Marshall Islands, Rwanda, Canada, Liberia, Trinidad and Tobago
Description

Success.ai’s Pharma Data for the Global Pharmaceutical Industry provides a robust dataset tailored for businesses looking to connect with pharmaceutical companies, decision-makers, and key stakeholders worldwide. Covering pharmaceutical manufacturers, research organizations, biotech firms, and distributors, this dataset offers verified SIC codes, firmographic details, and contact information for executives and operational leads.

With access to over 170 million verified professional profiles and 30 million company profiles, Success.ai ensures your outreach, market research, and business development strategies are driven by reliable, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution is essential for navigating the competitive global pharmaceutical landscape.

Why Choose Success.ai’s Pharma Data?

  1. Verified Contact Data for Precision Outreach

    • Access verified work emails, phone numbers, and LinkedIn profiles of pharmaceutical executives, R&D leads, compliance officers, and procurement managers.
    • AI-driven validation ensures 99% accuracy, optimizing your campaigns and improving communication efficiency.
  2. Comprehensive Coverage of the Global Pharmaceutical Sector

    • Includes profiles of pharmaceutical companies, biotech firms, contract manufacturing organizations (CMOs), and distributors across North America, Europe, Asia, and other major markets.
    • Gain insights into regional pharmaceutical trends, product pipelines, and market dynamics unique to global markets.
  3. Continuously Updated Datasets

    • Real-time updates reflect leadership changes, mergers, product launches, and regulatory compliance shifts.
    • Stay aligned with the fast-paced pharmaceutical industry to capitalize on emerging opportunities and maintain relevance.
  4. Ethical and Compliant

    • Adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible use of data and compliance with legal standards.

Data Highlights:

  • 170M+ Verified Professional Profiles: Engage with decision-makers, R&D specialists, and operational leaders in the pharmaceutical industry worldwide.
  • 30M Company Profiles: Access detailed firmographic data, including company sizes, revenue ranges, and geographic footprints.
  • Verified SIC Codes: Understand industry classifications and product specializations to refine your targeting strategies.
  • Leadership Contact Details: Connect with CEOs, COOs, medical directors, and regulatory managers influencing pharmaceutical operations.

Key Features of the Dataset:

  1. Decision-Maker Profiles in Pharmaceuticals

    • Identify and engage with professionals overseeing R&D, clinical trials, supply chains, and regulatory compliance.
    • Target leaders responsible for drug development, vendor selection, and market entry strategies.
  2. Advanced Filters for Precision Targeting

    • Filter companies by industry segment (biotech, generic pharmaceuticals, vaccines), geographic location, or revenue size.
    • Tailor campaigns to align with specific needs such as drug pipeline acceleration, production scaling, or market expansion.
  3. SIC Codes and Firmographic Insights

    • Access verified SIC codes and detailed company profiles to understand market focus, operational scale, and specialization areas.
    • Use firmographic data to prioritize high-value targets and align product offerings with market demands.
  4. AI-Driven Enrichment

    • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes with pharmaceutical stakeholders.

Strategic Use Cases:

  1. Sales and Lead Generation

    • Offer technology solutions, research tools, or contract services to pharmaceutical manufacturers, R&D facilities, and distribution networks.
    • Build relationships with procurement teams and compliance officers responsible for vendor approvals and operational excellence.
  2. Market Research and Product Development

    • Analyze global pharmaceutical trends, drug approval patterns, and regulatory frameworks to guide product innovation and market entry strategies.
    • Identify high-growth regions and emerging therapeutic areas to focus your resources effectively.
  3. Partnership and Supply Chain Development

    • Connect with pharmaceutical companies seeking contract manufacturing, raw material sourcing, or distribution partnerships.
    • Foster alliances that streamline production, ensure quality, and accelerate time-to-market.
  4. Regulatory Compliance and Risk Mitigation

    • Engage with regulatory officers and compliance managers overseeing adherence to local and international pharmaceutical standards.
    • Present solutions for documentation, reporting, and risk management to ensure compliance and operational efficiency.

Why Choose Success.ai?

  1. Best Price Guarantee
    ...
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