Benefit sharing with Indigenous Peoples and Their DNA in drug discovery - contributes to us all. Some of the best business models are new ways to share the benefits of contributions previously underacknowledged, exploited, or harmed. Variant Bio is rewriting the rules, and the revenue and ownership-sharing mechanisms they’ve created set a new standard. _Share the Benefits: Variant Bio ensures participating Indigenous communities share in 4% of the company’s revenue and equity, comparable to the royalties universities receive for patent licenses. _Respect Genetic Heritage: The company pledges not to patent genes but instead focuses on patenting the drugs developed through collaboration, avoiding the exploitative practices of past research. _Share Locally: Up to 10% of the research budget was allocated to community programs. For example, in New Zealand, Variant Bio allocated $100,000 for their research partner to distribute to local health organizations, scholarships, and scientific conferences for Māori and other people of Pacific ancestry. _Make Medicines Accessible: Variant Bio commits to ensuring that medicines resulting from the research are affordable and available to the communities involved. _Share the Findings: Findings are shared with communities, such as research in French Polynesia that helped debunk myths about a fatal drug reaction, improving access to gout medication locally. _Build Long-term Trust: The company undertook listening tours and enlisted ethical advisers to create a benefit-sharing model. They worked with local leaders to co-design partnerships that prioritized community needs. But the company did not stop at mere participatory theater, and the revenue and equity sharing just became meaningful… _Share the stakes: Through partnerships like the recently announced $50 million deal with Novo Nordisk, Variant Bio follows through on its 4% revenue and equity sharing agreements. The resulting treatments, derived from unique genetic insights, have the potential to address diseases like obesity and diabetes more effectively—challenges that impact millions of people worldwide. https://lnkd.in/eVEray-Z
Resource Sharing Agreements
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Summary
Resource sharing agreements are formal contracts that define how resources—such as data, genetic material, or expertise—can be exchanged between organizations or communities. These agreements help ensure that contributions are acknowledged, benefits are shared, and legal obligations are clearly outlined, making it possible to collaborate safely and ethically.
- Clarify roles: Make sure each party understands their responsibilities and the scope of resource use before signing any agreement.
- Protect interests: Use the agreement to set clear rules for privacy, security, and benefit-sharing so all participants feel safe and respected.
- Build trust: Take time to communicate openly with partners and involve community leaders when designing agreements for long-term collaboration.
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Dora sighed as she reviewed the draft data sharing agreement from their potential new partner. "I don't understand this data processing section," she said to Michael. "Aren't we just sharing data with them, not having them process it for us?" Michael nodded knowingly. "Ah, I see the confusion. Data sharing and data processing are two different things that require separate agreements." Data sharing agreements and data processing agreements may seem similar, but they serve distinct purposes in the world of data governance. Let me break it down: A data sharing agreement governs the exchange of data between two or more parties. It outlines the terms under which organizations can share datasets, specifying things like: • The types of data being shared • Permissible uses of the shared data • Security and confidentiality requirements • Data retention and disposal policies For example, if Company A wants to share customer data with Company B for joint marketing purposes, they'd need a data sharing agreement. This ensures both parties understand their obligations in protecting that shared data. A data processing agreement, on the other hand, comes into play when an organization (the data controller) needs to engage a third-party service provider (the data processor) to handle or process data on their behalf. Common examples include: • Cloud storage providers • Data analytics companies • Payment processors • Customer service outsourcing firms In this case, the agreement lays out the processor's responsibilities for keeping the data secure, limiting data use to the controller's instructions, ensuring compliance, and granting the controller auditing rights. So in our original example, the data processing section was likely meant to cover any scenarios where the potential partner would be processing your data for specific services, not just receiving it for their own uses. The key distinction is that data sharing agreements focus on the exchange of data sets, while processing agreements dictate how a processor can handle a controller's data while performing a service. Getting these agreements right is crucial for compliance with data protection laws and regulations. Ensure you clearly understand the data flows and responsibilities before signing on the dotted line. After all, you don't want to inadvertently hand over the keys to your data kingdom! #data #privacy #agreement #lawyer #gdpr
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📢NEW RESOURCES: 📊 Data collaborations can be critical in unlocking the #data needed to inform public interest decisions (in #cities, at times of #crisis and beyond). Unfortunately, setting up the agreements needed to facilitate access to data is often too time-consuming and costly. 🚀 To tackle this, we are launching three 🆕 resources designed to streamline the process of forming data-sharing agreements! ➡️ Introducing "Moving from Idea to Practice: Three Resources for Harnessing the Power of Data Sharing Agreements." 📚💼 🌐 These resources are born from our extensive workshops and consultations with numerous experts in law, data, and exchange initiatives. They offer practical, actionable guidance on crafting data-sharing agreements that yield valuable insights. What's Inside? 🤔 1️⃣ A comprehensive guide to principled negotiation 2️⃣ An updated version of our Contractual Wheel of Data Collaboration. 3️⃣ A readiness matrix to evaluate potential partners' collaboration capabilities (prior to establishing a data sharing agreement). 🔗 Access these resources here: https://lnkd.in/et-TFhK2 📈 We're eager from you to hear from you how these tools can support you!...so please share your experiences and suggestions! #DataCollaboration #NonProfit #OpenData #SmartCities #DataDrivenDecisions #Datasharing #Datagovernance
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Why Data Sharing Agreements? Data sharing agreements are essential legal contracts that outline the terms and conditions under which data can be shared between two or more parties. They are crucial in today's interconnected world where organizations increasingly rely on data sharing for collaboration, innovation, and operational efficiency. It’s crucial for organizations to safely and ethically share data while protecting their interests and complying with legal obligations. By carefully crafting and adhering to these agreements, organizations can unlock the potential of data sharing to drive innovation, improve decision-making, and achieve strategic goals. Key reasons why data sharing agreements are important: 1. Legal Protection: o Compliance: Data sharing agreements help ensure compliance with relevant data protection laws and regulations, such as GDPR, CCPA, and HIPAA. o Risk Mitigation: They define the rights and responsibilities of each party, minimizing the risk of legal disputes and potential liability. o Confidentiality: They outline specific confidentiality requirements to protect sensitive data from unauthorized access or disclosure. 2. Clear Communication and Expectations: o Purpose: They clearly define the purpose of data sharing, ensuring that both parties have a shared understanding of the intended use of the data. o Scope: They specify the types of data that will be shared, the format in which it will be provided, and any limitations on its use. o Responsibilities: They outline the roles and responsibilities of each party, including data security, privacy, and incident response procedures. 3. Collaboration and Innovation: o Knowledge Sharing: Data sharing agreements facilitate the exchange of knowledge and insights, fostering collaboration and innovation. o Joint Projects: They enable organizations to work together on joint projects and initiatives that require access to shared data. o Market Research: They allow businesses to conduct market research and analysis by combining data from multiple sources. 4. Data Security and Privacy: o Data Protection: They establish robust security measures to protect the confidentiality, integrity, and availability of shared data. o Privacy Rights: They address privacy concerns by outlining how personal data will be handled and protected. o Incident Response: They specify procedures for responding to data breaches and other security incidents. 5. Accountability and Transparency: o Auditability: Data sharing agreements promote accountability by providing a clear record of data sharing activities. o Transparency: They enhance transparency by disclosing the purpose of data sharing and the parties involved.
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