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This online, self-paced "Professional Certificate in Research Data Governance" course is designed to provide a comprehensive understanding of research data governance. Drawing from a collection of expertly crafted chapters, the course explores the principles, practices, and intricacies of managing research data effectively and ethically. Participants will delve into the multi-faceted world of research data governance, covering aspects from foundational knowledge to advanced strategies. The course facilitates a nuanced understanding that is essential for researchers, data managers, and research administrators in today's digital age.
Upon successful completion of this course, participants will be able to:
Understand the Fundamentals: Describe the foundational concepts and significance of research data governance.
Implement Best Practices: Apply best practices in data governance, ensuring the ethical, efficient, and effective management of research data.
Navigate Complex Scenarios: Address complex scenarios in research data governance, drawing upon advanced knowledge and strategies.
Promote Ethical Research: Understand and emphasize the importance of ethical considerations in data governance, ensuring research integrity.
Enhance Collaboration: Facilitate interdisciplinary research by understanding the nuances of data governance across various research domains.
Stay Updated: Recognize emerging trends and challenges in research data governance, preparing for future advancements in the field.
Apply Practical Knowledge: Demonstrate hands-on skills in implementing research data governance protocols, tools, and strategies in real-world research environments.
This course lays a strong foundation and offers practical insights into research data governance, enabling professionals to manage, supervise, or collaborate on research projects with a robust understanding of data's role and governance.
In today's digital age, data stands as a foundational pillar of innovation and advancement, especially in the academic realm. Yet, despite its abundance, much of this research data remains underleveraged and vulnerable. This lesson, derived from IDM's comprehensive guidebook, delves into the imperative need for robust research data governance within universities and research centers. By harnessing IDM's profound knowledge in scientific methods, advanced analytics, and data technology, participants will gain insights into the ISO 37000 governance framework, an acclaimed international standard that emphasizes a purpose-driven approach to data governance. The lesson underscores five core purposes of research data governance: Further, the lesson provides actionable insights on executing effective research data governance strategies, referencing real-world examples and best practices. Participants will grasp the significance of owning, valuating, and optimizing the use of their research data, leading to heightened asset value, potential commercial opportunities, and research efficiency. The overarching goal of this lesson is to instill a transformative mindset, prioritizing research data governance as an instrument for innovation, cooperation, and societal benefit. Embrace this opportunity to turn data governance challenges into avenues for academic growth and innovation.
Chapter 1 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
Dive into the pivotal essence of research data governance in this chapter. Here's what we cover: Data as Assets: Learn why data isn't just information but a goldmine. When managed right, it can lead to discoveries, patents, and industry partnerships. Economical Value of Data: Discover the multifaceted economic worth of data. It's beyond direct sales. Effective data governance can lead to cost savings, better decision-making, risk management, and even new product development. Universities can turn data into direct revenue streams and enhance their reputation. Data in Financial Valuation: Uncover the role of high-quality data in shaping a university's financial statements and overall worth. A single well-governed data set could revolutionize a university's value. Ownership Crisis in Academia: Many institutions fail to claim data ownership due to inadequate data governance. This oversight results in lost revenues and potential legal quandaries. Solution - Research Data Governance: Emphasizing the need for a robust research data governance system, we'll explore how it ensures data quality and security. Such a system boosts an institution's reputation, invites funding, and secures data ownership, emphasizing that data governance is not just crucial but a strategic move for every academic institution.
Chapter 2 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
Module 3 underscores the critical role of universal governance frameworks in effective research data governance. A holistic strategy is imperative for universities and research centers to ensure data quality, security, regulatory compliance, and ethical considerations. Several governance frameworks, such as COBIT, ITIL, COSO, and PMBOK, are explored for their unique strengths. However, the chapter strongly advocates for the ISO 37000 framework due to its principle-based approach, emphasizing the core purpose of research data governance. ISO 37000 ensures alignment of data governance with organizational objectives, enhancing stakeholder engagement, leadership, data-driven decisions, risk governance, and more. In essence, this framework serves as a comprehensive guide to ensuring research data aligns with an institution's goals and societal contributions.
Chapter 3 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
Module 4 delves into the essence of "Purpose-Driven Research Data Governance in Universities." As hubs of knowledge, universities rely heavily on research data, necessitating effective governance. This chapter highlights five pivotal purposes for university data governance: 1) Elevating the quality and scope of research by refining data management; 2) Ensuring the credibility of research by maintaining data quality and integrity; 3) Upholding ethical standards by promoting responsible data use and safeguarding privacy; 4) Facilitating seamless collaborations by providing a framework for data sharing; and 5) Championing societal welfare by aligning research data usage with broader societal objectives. These tenets are in sync with the ISO 37000 governance framework's 'Purpose' principle, underscoring the need for a clear, purpose-driven data governance strategy.
Chapter 4 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
Research data governance in universities and research centers is fundamentally connected to the value generation principle. The data produced and managed by these institutions serve as a significant source of value, driving research innovation, contributing to societal benefit, and enhancing institutional reputation. Following the ISO 37000's value generation principle, this chapter explores how research data governance can define, create, deliver, and sustain value in a university and research center context.
Chapter 5 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
Listen to the conversation between Sara and Joe to understand how a university is applying this principle.
The Strategy Principle is centered on the governing body's ability to direct and engage with the organization's strategy to fulfill the organizational purpose in accordance with the value generation model. It is essential for the governing body to set strategic outcomes, establish governance policies, engage with strategic planning, and steer the strategy.
Chapter 6 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
Listen to the conversation between Sara and Joe to understand how a university is applying this principle.
The Oversight Principle of ISO 37000 guides the governing body in effectively overseeing the organization's performance, ethical behavior, and compliance obligations. Within a research data governance context, this principle provides a robust framework for universities and research centers to ensure they fulfill their responsibilities. This module delves into the application of the Oversight Principle to research data governance, supplemented by practical examples.
Chapter 7 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
Listen to the conversation between Sara and Joe to understand how a university is applying this principle.
Accountability is a cornerstone of effective governance in any organization, including universities and research centers. The Accountability Principle of ISO 37000 sets out a framework for how this can be achieved. In this Module, we will explore how the Accountability Principle can be applied to research data governance, providing practical examples to simplify it.
Chapter 8 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
Listen to the conversation between Sara and Joe to understand how a university is applying this principle.
Stakeholder engagement is a fundamental principle in the ISO 37000 governance standard. This principle underscores the importance of identifying, prioritizing, and appropriately engaging with stakeholders while considering their expectations. In the context of research data governance in universities and research centers, stakeholders range from researchers, students, funding bodies, and regulatory authorities, to the broader public who might benefit from the research outcomes. The successful application of this principle can aid in enhancing the value and credibility of the research, promoting transparency, and fostering trust among stakeholders.
Chapter 9 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
Listen to the conversation between Sara and Ronald to understand how a university is applying this principle.
Leadership is paramount in any organization, and universities and research centers are not exceptions. The way leaders behave, make decisions, and communicate has a significant impact on the overall culture and functioning of these institutions. The ISO 37000 leadership principle underscores the need for ethical and effective leadership throughout an organization. This chapter will explore the application of this principle to research data governance in universities and research centers.
Chapter 10 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
Listen to the conversation between Sara and Martin to understand how a university is applying this principle.
The Data and Decisions Principle in ISO 37000 highlights the importance of recognizing data as a valuable resource for decision-making. This chapter focuses on linking and applying this principle to research data governance in universities and research centers. By providing practical examples, we aim to simplify the application of this principle in research environments.
Chapter 11 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
Listen to the conversation between Sara and Gray to understand how a university is applying this principle.
Applying the Risk Governance Principle in a university or research center setting involves establishing risk governance policies and processes that align with the organization's needs, particularly concerning research data governance. This chapter will provide practical examples to illustrate this process.
Chapter 12 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
Listen to the conversation between Sara and Danial to understand how a university is applying this principle.
The Social Responsibility Principle, while not directly tied to research data governance, has significant implications for how universities and research centers manage their data. This principle encourages organizations to act ethically and responsibly, balancing the needs of stakeholders with the broader societal expectations. For universities and research centers, aligning with this principle can lead to greater societal impact and improved reputation.
Chapter 13 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
Listen to the conversation between Sara and Hassan to understand how a university is applying this principle.
The Viability and Performance over Time Principle of ISO 37000 underscores the importance of long-term strategic planning, risk management, and continuous performance improvement. In the context of research data governance in universities or research centers, this principle can significantly enhance the quality of research outputs, ensure data security, and foster a culture of accountability and continuous improvement.
Chapter 14 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
The significance of monetizing research data through effective governance structures is presented in this chapter, bridging the gap between investment and returns.
Chapter 16 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
As we approach the conclusion of this course, we issue a call to action to universities and research centers worldwide: It is time to recognize and claim your research data as valuable assets. It is time to implement robust research data governance to protect these assets, enhance your research integrity, and boost your institution's reputation.
Chapter 17 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
In the era of digitization and information overload, universities and research centers require robust solutions to govern and manage their research data efficiently. With this requirement in mind, IDM, the publisher of this book and a leading R&D company, has developed ZDataCloud, a comprehensive cloud-based solution that integrates all principles of research data governance, along with research methods and sampling techniques.
Chapter 18 From the Text-Book: "Navigating Research Data Governance" A Comprehensive Guide for Universities and Research Centers Toward a Data-Driven Institution By Informed Decision Making (IDM) www.idm.sa Authors: Dr. Nasser F BinDhim, Nora A. Althumiri
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Our goal at the Methodologists Academy is to promote a world where research education is accessible to all. We are dedicated to empowering individuals with the necessary skills and knowledge to make remarkable contributions to the scientific community. By fostering an environment of inclusivity and growth, we strive to transform the landscape of research, one skilled researcher at a time. Our commitment is to guide every learner on a journey towards becoming a certified researcher, enhancing the potential for discovery and innovation in the world of science.
Professional Certificate in Research Data Governance
