Attention data managers and businesses seeking to comply with data protection laws!
Are you tired of sifting through countless resources to understand the ever-changing landscape of data regulations? Look no further than our Data Protection Laws in Data Management Knowledge Base.
Our comprehensive database contains 1625 prioritized requirements, solutions, benefits, and case studies for Data Protection Laws in Data management, all at your fingertips.
You no longer need to waste valuable time and resources trying to stay up-to-date on the latest laws and regulations.
With our knowledge base, you can easily access the most important questions to ask based on urgency and scope, ensuring that you get results quickly and efficiently.
But the benefits don′t stop there.
Our dataset is unparalleled in comparison to competitors and alternatives.
Our team has meticulously collected and organized data from various reputable sources, saving you the hassle of compiling information yourself.
Plus, as a professional product, our Data Protection Laws in Data Management Knowledge Base is tailored specifically for businesses, making it a must-have tool for any data manager.
Still not convinced? Our product is not only easy to use, but it is also DIY and affordable, making it accessible to businesses of any size.
And with our detailed specifications overview, you can be confident that our product meets your exact needs and requirements.
But the advantages don′t stop there.
With our database, you can conduct in-depth research on Data Protection Laws in Data Management, allowing you to make informed decisions for your business.
Plus, by staying compliant with data protection laws, you are safeguarding your company′s reputation and avoiding costly penalties.
Don′t let the complexities of data laws hold you back.
Invest in our Data Protection Laws in Data Management Knowledge Base and ensure that your business stays compliant without breaking the bank.
With a detailed cost analysis and an overview of its pros and cons, you can confidently choose the best solution for your organization.
In summary, our product offers a one-stop-shop for all your data protection law needs, catering to professionals and businesses of all sizes.
So why wait? Upgrade your data management game today with our Data Protection Laws in Data Management Knowledge Base.
Try it now and see the difference it can make for your business!
How do intellectual property laws and/or copyright protections relate to research data and researchers?
Data Protection Laws
Data protection laws regulate the collection, use, and sharing of personal information. Intellectual property and copyright laws protect the ownership and usage rights of research data and researchers.
1. Adhering to data protection laws helps maintain ethical standards in research and ensures the confidentiality of sensitive data.
2. Implementation of data protection laws promotes responsible data management, preventing unauthorized use or distribution of research data.
3. Complying with IP laws protects researchers′ rights to their work and prevents plagiarism or exploitation of their research findings.
4. Copyright protections safeguard researchers′ ownership of their data, allowing them to control how it is used and shared.
5. Providing proper attribution for research data protects the intellectual property of researchers and acknowledges their contributions.
6. Following copyright protections allows researchers to license their data for commercial or non-commercial use, increasing opportunities for collaboration and funding.
7. Awareness of IP laws and copyright protections leads to better data management practices, minimizing the risk of data loss or misuse.
8. Complying with data protection and copyright laws builds trust with institutions, funders, and potential collaborators, enhancing the credibility and impact of research.
CONTROL QUESTION: How do intellectual property laws and/or copyright protections relate to research data and researchers?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
In 10 years, data protection laws will be well-established and enforced globally, with unified standards and regulations for the protection of research data and the rights of researchers. These laws will prioritize the ethical and responsible use of research data, balancing the need for access and the protection of intellectual property rights.
Intellectual property laws and copyright protections will be seamlessly integrated into data protection laws, recognizing the unique nature of research data and the valuable contributions of researchers. A comprehensive framework will be in place to safeguard the ownership and control of research data, while also promoting collaboration and information-sharing among researchers.
Researchers will have clear and enforceable rights over their data, including the right to control access, usage, and distribution. Copyright laws will protect the originality and creativity of researchers and acknowledge them as the rightful owners of their data.
Additionally, data protection laws will include provisions for data security and privacy, ensuring that sensitive research data is safeguarded from unauthorized access or use. This will also extend to protecting the personal information of human subjects involved in research studies, with strict regulations on how this data can be collected, stored, and shared.
This big hairy audacious goal for data protection laws will foster a culture of responsibility, accountability, and trust within the research community. It will also promote innovation and open science, as researchers feel confident in sharing their data without the fear of losing control over it.
In summary, data protection laws 10 years from now will provide a robust legal framework for the protection of research data, respecting the rights of both researchers and the public. It will be a progressive and innovative system, setting an example for other critical sectors to follow suit in protecting valuable data and promoting responsible data practices.
"The prioritized recommendations in this dataset have added tremendous value to my work. The accuracy and depth of insights have exceeded my expectations. A fantastic resource for decision-makers in any industry."
Introduction: Data protection and privacy have become increasingly important topics in today’s digital age. With the advancement of technology, the amount of data being collected, stored, and shared has also increased significantly. As a result, governments and organizations around the world have implemented laws and regulations to protect the privacy and rights of individuals and their data. In this case study, we will explore the relationship between intellectual property laws and copyright protections with research data and researchers.
Client Situation: The client is a leading research university that conducts various research activities in different fields, including medicine, science, engineering, and social sciences. The university has a large amount of research data that is being collected and used by its faculty, staff, and students. They have expressed concerns regarding the protection of this data and the rights of the researchers who collect and use it. They are seeking guidance on how intellectual property laws and copyright protections relate to their research data and the potential risks and challenges they might face.
Consulting Methodology: Our consulting team conducted extensive research on the topic by reviewing existing laws, whitepapers, academic journals, and market research reports related to intellectual property and copyright in the context of research data. We also analyzed the client′s current data management policies and practices to identify any gaps or areas of improvement.
Deliverables: After careful analysis, our team delivered a detailed report outlining the following key points:
1. Intellectual Property Laws and Research Data: Intellectual property refers to the legal rights associated with creations of the mind, such as inventions, literary and artistic works, symbols, names, images, and designs. In the context of research data, intellectual property laws protect the original works of the researcher, such as algorithms, software codes, and databases, from unauthorized use by others. These laws also give the researchers the right to choose how their data is shared and used.
2. Copyright Protections and Research Data: Copyright is a form of intellectual property that grants the creator of an original work the exclusive rights to control its distribution, reproduction, and adaptation. In the case of research data, copyright protections apply to literary and artistic works that may be included in the data, such as text, images, and videos. Researchers must ensure that they have the necessary permission or licenses to use copyrighted material in their data.
3. Open Data and Creative Commons Licenses: Open data refers to data that is freely available to the public, without any restrictions on its use or distribution. To make research data more accessible and shareable, various organizations have introduced Creative Commons licenses that allow researchers to choose how they want their data to be used and shared while retaining their copyright.
Implementation Challenges: The implementation of intellectual property laws and copyright protections in the context of research data faces several challenges. Some of the key challenges identified by our team include:
1. Lack of clarity on ownership and rights: With multiple researchers, institutions, and funders involved in a research project, there can be ambiguity regarding who owns the data and what rights they have.
2. Difficulty in obtaining copyright permissions: Research data often includes copyrighted material, making it challenging to obtain permission from the copyright holder to use it.
3. Data management policies and practices: Many institutions lack specific data management policies and practices, leading to a lack of consistency in how research data is collected, stored, and shared.
KPIs and Management Considerations: The success of implementing intellectual property laws and copyright protections in research data can be measured through the following key performance indicators (KPIs):
1. Compliance with regulations: One KPI could be the percentage of research data that complies with intellectual property laws and copyright protections.
2. Number of copyright disputes: Another KPI could be the number of copyright disputes arising due to the use of copyrighted material in research data.
3. Data accessibility and usage: The number of downloads, citations, and collaborations resulting from the sharing of publicly available research data could also be an indicator of its success.
Conclusion: In today’s digital world, where data is becoming increasingly valuable, it is essential for institutions to have a clear understanding of how intellectual property laws and copyright protections apply to their research data. This case study has highlighted the importance of implementing appropriate data management policies and practices to ensure compliance with regulations and avoid any potential legal issues. By considering these factors, universities and researchers can protect their data while promoting collaboration and innovation.
Are you tired of sifting through countless resources to understand the ever-changing landscape of data regulations? Look no further than our Data Protection Laws in Data Management Knowledge Base.
Our comprehensive database contains 1625 prioritized requirements, solutions, benefits, and case studies for Data Protection Laws in Data management, all at your fingertips.
You no longer need to waste valuable time and resources trying to stay up-to-date on the latest laws and regulations.
With our knowledge base, you can easily access the most important questions to ask based on urgency and scope, ensuring that you get results quickly and efficiently.
But the benefits don′t stop there.
Our dataset is unparalleled in comparison to competitors and alternatives.
Our team has meticulously collected and organized data from various reputable sources, saving you the hassle of compiling information yourself.
Plus, as a professional product, our Data Protection Laws in Data Management Knowledge Base is tailored specifically for businesses, making it a must-have tool for any data manager.
Still not convinced? Our product is not only easy to use, but it is also DIY and affordable, making it accessible to businesses of any size.
And with our detailed specifications overview, you can be confident that our product meets your exact needs and requirements.
But the advantages don′t stop there.
With our database, you can conduct in-depth research on Data Protection Laws in Data Management, allowing you to make informed decisions for your business.
Plus, by staying compliant with data protection laws, you are safeguarding your company′s reputation and avoiding costly penalties.
Don′t let the complexities of data laws hold you back.
Invest in our Data Protection Laws in Data Management Knowledge Base and ensure that your business stays compliant without breaking the bank.
With a detailed cost analysis and an overview of its pros and cons, you can confidently choose the best solution for your organization.
In summary, our product offers a one-stop-shop for all your data protection law needs, catering to professionals and businesses of all sizes.
So why wait? Upgrade your data management game today with our Data Protection Laws in Data Management Knowledge Base.
Try it now and see the difference it can make for your business!
Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:
Key Features:
Comprehensive set of 1625 prioritized Data Protection Laws requirements. - Extensive coverage of 313 Data Protection Laws topic scopes.
- In-depth analysis of 313 Data Protection Laws step-by-step solutions, benefits, BHAGs.
- Detailed examination of 313 Data Protection Laws case studies and use cases.
- Digital download upon purchase.
- Enjoy lifetime document updates included with your purchase.
- Benefit from a fully editable and customizable Excel format.
- Trusted and utilized by over 10,000 organizations.
- Covering: Data Control Language, Smart Sensors, Physical Assets, Incident Volume, Inconsistent Data, Transition Management, Data Lifecycle, Actionable Insights, Wireless Solutions, Scope Definition, End Of Life Management, Data Privacy Audit, Search Engine Ranking, Data Ownership, GIS Data Analysis, Data Classification Policy, Test AI, Data Management Consulting, Data Archiving, Quality Objectives, Data Classification Policies, Systematic Methodology, Print Management, Data Governance Roadmap, Data Recovery Solutions, Golden Record, Data Privacy Policies, Data Management System Implementation, Document Processing Document Management, Master Data Management, Repository Management, Tag Management Platform, Financial Verification, Change Management, Data Retention, Data Backup Solutions, Data Innovation, MDM Data Quality, Data Migration Tools, Data Strategy, Data Standards, Device Alerting, Payroll Management, Data Management Platform, Regulatory Technology, Social Impact, Data Integrations, Response Coordinator, Chief Investment Officer, Data Ethics, Metadata Management, Reporting Procedures, Data Analytics Tools, Meta Data Management, Customer Service Automation, Big Data, Agile User Stories, Edge Analytics, Change management in digital transformation, Capacity Management Strategies, Custom Properties, Scheduling Options, Server Maintenance, Data Governance Challenges, Enterprise Architecture Risk Management, Continuous Improvement Strategy, Discount Management, Business Management, Data Governance Training, Data Management Performance, Change And Release Management, Metadata Repositories, Data Transparency, Data Modelling, Smart City Privacy, In-Memory Database, Data Protection, Data Privacy, Data Management Policies, Audience Targeting, Privacy Laws, Archival processes, Project management professional organizations, Why She, Operational Flexibility, Data Governance, AI Risk Management, Risk Practices, Data Breach Incident Incident Response Team, Continuous Improvement, Different Channels, Flexible Licensing, Data Sharing, Event Streaming, Data Management Framework Assessment, Trend Awareness, IT Environment, Knowledge Representation, Data Breaches, Data Access, Thin Provisioning, Hyperconverged Infrastructure, ERP System Management, Data Disaster Recovery Plan, Innovative Thinking, Data Protection Standards, Software Investment, Change Timeline, Data Disposition, Data Management Tools, Decision Support, Rapid Adaptation, Data Disaster Recovery, Data Protection Solutions, Project Cost Management, Metadata Maintenance, Data Scanner, Centralized Data Management, Privacy Compliance, User Access Management, Data Management Implementation Plan, Backup Management, Big Data Ethics, Non-Financial Data, Data Architecture, Secure Data Storage, Data Management Framework Development, Data Quality Monitoring, Data Management Governance Model, Custom Plugins, Data Accuracy, Data Management Governance Framework, Data Lineage Analysis, Test Automation Frameworks, Data Subject Restriction, Data Management Certification, Risk Assessment, Performance Test Data Management, MDM Data Integration, Data Management Optimization, Rule Granularity, Workforce Continuity, Supply Chain, Software maintenance, Data Governance Model, Cloud Center of Excellence, Data Governance Guidelines, Data Governance Alignment, Data Storage, Customer Experience Metrics, Data Management Strategy, Data Configuration Management, Future AI, Resource Conservation, Cluster Management, Data Warehousing, ERP Provide Data, Pain Management, Data Governance Maturity Model, Data Management Consultation, Data Management Plan, Content Prototyping, Build Profiles, Data Breach Incident Incident Risk Management, Proprietary Data, Big Data Integration, Data Management Process, Business Process Redesign, Change Management Workflow, Secure Communication Protocols, Project Management Software, Data Security, DER Aggregation, Authentication Process, Data Management Standards, Technology Strategies, Data consent forms, Supplier Data Management, Agile Processes, Process Deficiencies, Agile Approaches, Efficient Processes, Dynamic Content, Service Disruption, Data Management Database, Data ethics culture, ERP Project Management, Data Governance Audit, Data Protection Laws, Data Relationship Management, Process Inefficiencies, Secure Data Processing, Data Management Principles, Data Audit Policy, Network optimization, Data Management Systems, Enterprise Architecture Data Governance, Compliance Management, Functional Testing, Customer Contracts, Infrastructure Cost Management, Analytics And Reporting Tools, Risk Systems, Customer Assets, Data generation, Benchmark Comparison, Data Management Roles, Data Privacy Compliance, Data Governance Team, Change Tracking, Previous Release, Data Management Outsourcing, Data Inventory, Remote File Access, Data Management Framework, Data Governance Maturity, Continually Improving, Year Period, Lead Times, Control Management, Asset Management Strategy, File Naming Conventions, Data Center Revenue, Data Lifecycle Management, Customer Demographics, Data Subject Portability, MDM Security, Database Restore, Management Systems, Real Time Alerts, Data Regulation, AI Policy, Data Compliance Software, Data Management Techniques, ESG, Digital Change Management, Supplier Quality, Hybrid Cloud Disaster Recovery, Data Privacy Laws, Master Data, Supplier Governance, Smart Data Management, Data Warehouse Design, Infrastructure Insights, Data Management Training, Procurement Process, Performance Indices, Data Integration, Data Protection Policies, Quarterly Targets, Data Governance Policy, Data Analysis, Data Encryption, Data Security Regulations, Data management, Trend Analysis, Resource Management, Distribution Strategies, Data Privacy Assessments, MDM Reference Data, KPIs Development, Legal Research, Information Technology, Data Management Architecture, Processes Regulatory, Asset Approach, Data Governance Procedures, Meta Tags, Data Security Best Practices, AI Development, Leadership Strategies, Utilization Management, Data Federation, Data Warehouse Optimization, Data Backup Management, Data Warehouse, Data Protection Training, Security Enhancement, Data Governance Data Management, Research Activities, Code Set, Data Retrieval, Strategic Roadmap, Data Security Compliance, Data Processing Agreements, IT Investments Analysis, Lean Management, Six Sigma, Continuous improvement Introduction, Sustainable Land Use, MDM Processes, Customer Retention, Data Governance Framework, Master Plan, Efficient Resource Allocation, Data Management Assessment, Metadata Values, Data Stewardship Tools, Data Compliance, Data Management Governance, First Party Data, Integration with Legacy Systems, Positive Reinforcement, Data Management Risks, Grouping Data, Regulatory Compliance, Deployed Environment Management, Data Storage Solutions, Data Loss Prevention, Backup Media Management, Machine Learning Integration, Local Repository, Data Management Implementation, Data Management Metrics, Data Management Software
Data Protection Laws Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):
Data Protection Laws
Data protection laws regulate the collection, use, and sharing of personal information. Intellectual property and copyright laws protect the ownership and usage rights of research data and researchers.
1. Adhering to data protection laws helps maintain ethical standards in research and ensures the confidentiality of sensitive data.
2. Implementation of data protection laws promotes responsible data management, preventing unauthorized use or distribution of research data.
3. Complying with IP laws protects researchers′ rights to their work and prevents plagiarism or exploitation of their research findings.
4. Copyright protections safeguard researchers′ ownership of their data, allowing them to control how it is used and shared.
5. Providing proper attribution for research data protects the intellectual property of researchers and acknowledges their contributions.
6. Following copyright protections allows researchers to license their data for commercial or non-commercial use, increasing opportunities for collaboration and funding.
7. Awareness of IP laws and copyright protections leads to better data management practices, minimizing the risk of data loss or misuse.
8. Complying with data protection and copyright laws builds trust with institutions, funders, and potential collaborators, enhancing the credibility and impact of research.
CONTROL QUESTION: How do intellectual property laws and/or copyright protections relate to research data and researchers?
Big Hairy Audacious Goal (BHAG) for 10 years from now:
In 10 years, data protection laws will be well-established and enforced globally, with unified standards and regulations for the protection of research data and the rights of researchers. These laws will prioritize the ethical and responsible use of research data, balancing the need for access and the protection of intellectual property rights.
Intellectual property laws and copyright protections will be seamlessly integrated into data protection laws, recognizing the unique nature of research data and the valuable contributions of researchers. A comprehensive framework will be in place to safeguard the ownership and control of research data, while also promoting collaboration and information-sharing among researchers.
Researchers will have clear and enforceable rights over their data, including the right to control access, usage, and distribution. Copyright laws will protect the originality and creativity of researchers and acknowledge them as the rightful owners of their data.
Additionally, data protection laws will include provisions for data security and privacy, ensuring that sensitive research data is safeguarded from unauthorized access or use. This will also extend to protecting the personal information of human subjects involved in research studies, with strict regulations on how this data can be collected, stored, and shared.
This big hairy audacious goal for data protection laws will foster a culture of responsibility, accountability, and trust within the research community. It will also promote innovation and open science, as researchers feel confident in sharing their data without the fear of losing control over it.
In summary, data protection laws 10 years from now will provide a robust legal framework for the protection of research data, respecting the rights of both researchers and the public. It will be a progressive and innovative system, setting an example for other critical sectors to follow suit in protecting valuable data and promoting responsible data practices.
Customer Testimonials:
"The prioritized recommendations in this dataset have added tremendous value to my work. The accuracy and depth of insights have exceeded my expectations. A fantastic resource for decision-makers in any industry."
"I can`t imagine working on my projects without this dataset. The prioritized recommendations are spot-on, and the ease of integration into existing systems is a huge plus. Highly satisfied with my purchase!"
"Compared to other recommendation solutions, this dataset was incredibly affordable. The value I`ve received far outweighs the cost."
Data Protection Laws Case Study/Use Case example - How to use:
Introduction: Data protection and privacy have become increasingly important topics in today’s digital age. With the advancement of technology, the amount of data being collected, stored, and shared has also increased significantly. As a result, governments and organizations around the world have implemented laws and regulations to protect the privacy and rights of individuals and their data. In this case study, we will explore the relationship between intellectual property laws and copyright protections with research data and researchers.
Client Situation: The client is a leading research university that conducts various research activities in different fields, including medicine, science, engineering, and social sciences. The university has a large amount of research data that is being collected and used by its faculty, staff, and students. They have expressed concerns regarding the protection of this data and the rights of the researchers who collect and use it. They are seeking guidance on how intellectual property laws and copyright protections relate to their research data and the potential risks and challenges they might face.
Consulting Methodology: Our consulting team conducted extensive research on the topic by reviewing existing laws, whitepapers, academic journals, and market research reports related to intellectual property and copyright in the context of research data. We also analyzed the client′s current data management policies and practices to identify any gaps or areas of improvement.
Deliverables: After careful analysis, our team delivered a detailed report outlining the following key points:
1. Intellectual Property Laws and Research Data: Intellectual property refers to the legal rights associated with creations of the mind, such as inventions, literary and artistic works, symbols, names, images, and designs. In the context of research data, intellectual property laws protect the original works of the researcher, such as algorithms, software codes, and databases, from unauthorized use by others. These laws also give the researchers the right to choose how their data is shared and used.
2. Copyright Protections and Research Data: Copyright is a form of intellectual property that grants the creator of an original work the exclusive rights to control its distribution, reproduction, and adaptation. In the case of research data, copyright protections apply to literary and artistic works that may be included in the data, such as text, images, and videos. Researchers must ensure that they have the necessary permission or licenses to use copyrighted material in their data.
3. Open Data and Creative Commons Licenses: Open data refers to data that is freely available to the public, without any restrictions on its use or distribution. To make research data more accessible and shareable, various organizations have introduced Creative Commons licenses that allow researchers to choose how they want their data to be used and shared while retaining their copyright.
Implementation Challenges: The implementation of intellectual property laws and copyright protections in the context of research data faces several challenges. Some of the key challenges identified by our team include:
1. Lack of clarity on ownership and rights: With multiple researchers, institutions, and funders involved in a research project, there can be ambiguity regarding who owns the data and what rights they have.
2. Difficulty in obtaining copyright permissions: Research data often includes copyrighted material, making it challenging to obtain permission from the copyright holder to use it.
3. Data management policies and practices: Many institutions lack specific data management policies and practices, leading to a lack of consistency in how research data is collected, stored, and shared.
KPIs and Management Considerations: The success of implementing intellectual property laws and copyright protections in research data can be measured through the following key performance indicators (KPIs):
1. Compliance with regulations: One KPI could be the percentage of research data that complies with intellectual property laws and copyright protections.
2. Number of copyright disputes: Another KPI could be the number of copyright disputes arising due to the use of copyrighted material in research data.
3. Data accessibility and usage: The number of downloads, citations, and collaborations resulting from the sharing of publicly available research data could also be an indicator of its success.
Conclusion: In today’s digital world, where data is becoming increasingly valuable, it is essential for institutions to have a clear understanding of how intellectual property laws and copyright protections apply to their research data. This case study has highlighted the importance of implementing appropriate data management policies and practices to ensure compliance with regulations and avoid any potential legal issues. By considering these factors, universities and researchers can protect their data while promoting collaboration and innovation.
Security and Trust:
- Secure checkout with SSL encryption Visa, Mastercard, Apple Pay, Google Pay, Stripe, Paypal
- Money-back guarantee for 30 days
- Our team is available 24/7 to assist you - support@theartofservice.com
About the Authors: Unleashing Excellence: The Mastery of Service Accredited by the Scientific Community
Immerse yourself in the pinnacle of operational wisdom through The Art of Service`s Excellence, now distinguished with esteemed accreditation from the scientific community. With an impressive 1000+ citations, The Art of Service stands as a beacon of reliability and authority in the field.Our dedication to excellence is highlighted by meticulous scrutiny and validation from the scientific community, evidenced by the 1000+ citations spanning various disciplines. Each citation attests to the profound impact and scholarly recognition of The Art of Service`s contributions.
Embark on a journey of unparalleled expertise, fortified by a wealth of research and acknowledgment from scholars globally. Join the community that not only recognizes but endorses the brilliance encapsulated in The Art of Service`s Excellence. Enhance your understanding, strategy, and implementation with a resource acknowledged and embraced by the scientific community.
Embrace excellence. Embrace The Art of Service.
Your trust in us aligns you with prestigious company; boasting over 1000 academic citations, our work ranks in the top 1% of the most cited globally. Explore our scholarly contributions at: https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=blokdyk
About The Art of Service:
Our clients seek confidence in making risk management and compliance decisions based on accurate data. However, navigating compliance can be complex, and sometimes, the unknowns are even more challenging.
We empathize with the frustrations of senior executives and business owners after decades in the industry. That`s why The Art of Service has developed Self-Assessment and implementation tools, trusted by over 100,000 professionals worldwide, empowering you to take control of your compliance assessments. With over 1000 academic citations, our work stands in the top 1% of the most cited globally, reflecting our commitment to helping businesses thrive.
Founders:
Gerard Blokdyk
LinkedIn: https://www.linkedin.com/in/gerardblokdijk/
Ivanka Menken
LinkedIn: https://www.linkedin.com/in/ivankamenken/
