Today, we’re delighted to share v1.0.0 of the D&TA Data Provenance Standards—designed to provide transparency into the origin and use of datasets for both #artificialintelligence and traditional #data applications. Since we last shared a draft in November, there has been much progress: The standards have been tested and validated by 50 organizations inside and outside the Alliance. We’re mapping to other frameworks and standards, and have built an adoption kit to support implementation. We are speaking to data providers and toolset providers about adoption. The goal? Ecosystem-wide adoption to increase transparency in data. Read our announcement here: https://lnkd.in/eyi4nZwR Explore the Standards, including our full adoption kit designed for practitioners in data acquisition, procurement, data governance and compliance here: https://lnkd.in/et8ejH_V #responsibleai #datagovernance #dataprovenance Thank you to our member companies and the many experts who have been instrumental in development. AARP American Express Deloitte Howso Humana IBM Kenvue Mastercard Nielsen Nike Pfizer Regions Bank Transcarent UPS Walmart Warby Parker OASIS EDM Council Dun & Bradstreet SDM
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I'm delighted to see the release of these groundbreaking #dataprovenance standards. These new standards are the first cross-industry standards and will increase transparency in the origins of the data used in traditional and #AI applications. #datagovernance Explore the Data Provenance Standards here: https://lnkd.in/eSw3bWTK standards
Today, we’re delighted to share v1.0.0 of the D&TA Data Provenance Standards—designed to provide transparency into the origin and use of datasets for both #artificialintelligence and traditional #data applications. Since we last shared a draft in November, there has been much progress: The standards have been tested and validated by 50 organizations inside and outside the Alliance. We’re mapping to other frameworks and standards, and have built an adoption kit to support implementation. We are speaking to data providers and toolset providers about adoption. The goal? Ecosystem-wide adoption to increase transparency in data. Read our announcement here: https://lnkd.in/eyi4nZwR Explore the Standards, including our full adoption kit designed for practitioners in data acquisition, procurement, data governance and compliance here: https://lnkd.in/et8ejH_V #responsibleai #datagovernance #dataprovenance Thank you to our member companies and the many experts who have been instrumental in development. AARP American Express Deloitte Howso Humana IBM Kenvue Mastercard Nielsen Nike Pfizer Regions Bank Transcarent UPS Walmart Warby Parker OASIS EDM Council Dun & Bradstreet SDM
The Data & Trust Alliance
dataandtrustalliance.org
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We’re proud to be part of the Data & Trust Alliance and excited about the new v1.0.0 Data Provenance Standards! 💥(https://vendia.fyi/3zR0Vxb) These standards are a game-changer, boosting transparency in #artificialintelligence and traditional data applications. By clarifying data origins and usage, companies across all industries can build trust and unlock new possibilities. https://vendia.fyi/3zR0Vxb 👈 Learn more about the standards and hear from Tim Wagner and industry experts across AARP American Express Deloitte Howso Humana IBM Kenvue Mastercard Nielsen Nike Pfizer Regions Bank Transcarent UPS Walmart Warby Parker OASIS EDM Council Dun & Bradstreet SDM #dataprovenance #datastandards #datatransparency #dataecosystem
The Data & Trust Alliance
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Looking for free, well-documented, visualized #data to guide your planning and to make the case for your services? Check out this resource . . .
Data Viz for Nonprofits
nonprofitviz.com
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Efficient data governance hinges heavily on well-defined data policies and procedures. They include guiding principles, validation rules, workflows, and metrics for monitoring data and policy compliance. They even establish meticulous guidelines for data quality assurance. By offering a clear roadmap for data handling, including data collection, storage, processing, and disposal, these policies and procedures ensure that the data journey aligns seamlessly with analytical goals. Data governance policies and procedures serve as the guardians of data trustworthiness and the consistency of business processes, making them significant cornerstones in the production of reliable analytics. Want to learn more? Click here 👉https://lnkd.in/gZrys97A #datagovernance #customerdata #charity #nonprofit #analytics
Data Governance Unlocks The Impact Of Analytics
forbes.com
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Driving Collaboration and Innovation at the Intersection of Strategy, Operations, and Technology. Leading Teams, Building Capabilities, Delivering Results.
Efficient data governance hinges heavily on well-defined data policies and procedures. They include guiding principles, validation rules, workflows, and metrics for monitoring data and policy compliance. They even establish meticulous guidelines for data quality assurance. By offering a clear roadmap for data handling, including data collection, storage, processing, and disposal, these policies and procedures ensure that the data journey aligns seamlessly with analytical goals. Data governance policies and procedures serve as the guardians of data trustworthiness and the consistency of business processes, making them significant cornerstones in the production of reliable analytics. Want to learn more? Click here 👉https://lnkd.in/gMhCNWjk #datagovernance #customerdata #charity #nonprofit #analytics
Data Governance Unlocks The Impact Of Analytics
forbes.com
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A consolidated data strategy is essential for harnessing the power of data and the innovations – like generative artificial intelligence – that rely on a steady stream of consistent, accurate information. The roadmap for developing a data strategy and adopting data-driven solutions includes: • Establishing a vision and rationale for what you want to do with your data • Laying out the strategic principles that will form the structure for your data strategy • Assessing the current state of your data and the data management framework surrounding it • Developing a data governance model • Adopting a master data management plan that lays out who’s responsible for certain data streams and how that information is to be shared within and between departments and third parties • Composing a reference architecture to capture the technical aspects of data handling within your organization • Deploying solutions Where is your organization on this roadmap? If you find your data strategy initiative has stalled, OSCRE can help kickstart it with resources like training, webinars and the OSCRE Industry Data Model™. Visit OSCRE.org for more information. #OSCREIndustryDataModel #DataStrategy #RealEstateDataStandards
OSCRE International Announces 2024-2025 OSCRE Board of Directors
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Looking at the internal data is a necessary reality check that can allow solutions to be crafted and implemented by internal and external Stakeholders.
How to Conduct Racial Equity Audits - Non Profit News | Nonprofit Quarterly
nonprofitquarterly.org
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Absolutely right Colin. More Metrics data covers a really wide of topic areas to complement other information sources.
Did you know that our COVID-19 dataset is available through the Consumer Data Research Centre . This resource, built on over 9 million responses to UK Parliamentary petitions, provides insights into public attitudes throughout the pandemic and supports a diverse range of research initiatives. As a leading provider of UK consumer data, CDRC is dedicated to meeting the needs of users across commercial, research, and non-profit sectors. We continually enhance our offerings with Open Source-based datasets tailored to our users' evolving requirements. For more information on our new Snowflake option or other inquiries about accessing our data, visit: https://lnkd.in/e5UVzaBF. #DataScience #PublicHealth #ResearchData #OpenSource #CDRC
*More Metrics data available through Consumer Data Research Council(CDRC)*
moremetrics.co.uk
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Why are data journeys important for charities? We use data every day, in both our work and personal life, and the amount of data generated globally each day is staggering, Learn the key stages of a data journey and why it’s important for your charity. 🔗 Read the full article here ⬇️ https://lnkd.in/e4qBUk7Q #CharityDigital #Data #NonProfit
A guide to data journeys
charitydigital.org.uk
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Nonprofits, do you know what data equity looks like for you? Data collection assessment is one of the ways I explore this question with my community. And every opportunity of such an assessment – regardless of org size or mission – brings me to the same lessons about data collection: ● That the data collection process needs clear objectives throughout the lifecycle of collection. Knowing what you want to achieve helps you choose the right methods, tools, and approaches for that data collection. ● That the data quality matters more than quantity. The quality of data is far more critical than the quantity. High-quality data - accurate, complete, and reliable - leads to more trustworthy and actionable insights. It's better to have a smaller set of high-quality data than a large amount of unreliable information. ● That recognizing and minimizing bias is a continuous commitment. Bias in data collection (and analysis) can easily lead to incorrect conclusions. So potential stages of biases in data collection – example, during designing surveys, selecting data sources, or interpreting data – needs to be actively and continually recognized. ● That ethical considerations with data must be the priority for inclusion. Ethical issues, including privacy, consent, and security, must be at the forefront of any data collection effort. Ensuring that data collection methods are ethical not only protects individuals' rights but also enhances the credibility and integrity of the data and the organization collecting it. ● That continuous learning about data needs to become part of the culture. Data collection assessment is one exercise that creates a dialogue about data equity in the organization. It's essential to continually learn from each project, adapting methods and learning around data equity. Have space and time in the coming year to dig deeper into what/how data equity (for example, doing a data collection assessment for inclusion) could look like? Then, add it to your annual goals. And share back what you learn from this experience. In the meantime, here is a link to some resources for you on data equity: https://lnkd.in/gUK-6M_Y #nonprofits #nonprofitleadership #community
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This is a huge milestone for transparency in data and AI. We're so glad to have been a part of it and look forward to continuing to contribute to the team's great work!