HIGH LEVEL LEADERS SESSION I
8 Oct 2023 00:30h - 02:00h UTC
Event report
Speakers
- Courtney Gregoire, Chief Digital Safety Officer, Microsoft
- Junhua Li, UN Under-Secretary-General for Economic and Social Affairs
- Leonida Mutuku, AI Research and Strategy Lead, Local Development Research Institute, Kenya
- Taro Kono, Minister, Digital Agency, Japan
Table of contents
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Knowledge Graph of Debate
Session report
Junhua Li, UN Under-Secretary-General for Economic and Social Affairs
In the discussions, the importance of institutional partnerships in addressing deficiencies and driving progress towards the 2030 agenda was positively received. The G7-sponsored DFFT initiative, which underscores the greater use of data and digital tools for progressing said agenda, captured the majority of discussions. Filling gaps and progressing institutional partnerships were identified as viable and essential goals.
Speakers emphasised the need for broad participation, encompassing UN members, public stakeholders, private sector entities, academic institutions and youth. This was seen as vital in stimulating dialogue on these topics and fostering a collaborative atmosphere to tackle social issues effectively.
Implementation of the Sustainable Development Goals (SDGs) is widely accepted to hinge on robust cross-border data sharing and international cooperation. However, there are ongoing concerns over the persisting digital divide and data inequality within and between countries. These issues have the potential to significantly impede the realisation of the SDGs.
Calls for the enhancement of global data governance structures were accentuated, propounding for the establishment of a rigorous, global framework capable of proficiently managing data to ensure effective and secure data flow. Upholding data sovereignty emerged as a paramount factor in these proposed enhancements to data governance. The push for a stronger public digital infrastructure and the fosterage of data capacity were also underscored as fundamental to the efficient implementation of SDGs.
The discussion also highlighted the urgent need to bolster national institutions and augment accountability. This could be achieved via support from the Global South and the advocation of robust data sharing practices and governance structures.
UN Secretary-General, Mr António Guterres's proposal of a global digital compact was met with strong approval, marking a potent milestone for global digital governance. Attendees were urged to engage in discussions and consultations within the United Nations framework on this potential initiative. A summit to elaborate on this matter is scheduled for September 2024.
Observers of the dialogue underscored the criticality of the subjects discussed, recognising them as defining for the direction of globalisation and the inclusivity of digital resources. Consensus was reached that, with strategic investment and international cooperation, it is possible to overcome current digital divides and achieve the 2030 SDG targets.
Taro Kono, Minister, Digital Agency, Japan
The prevailing theme emerging from the analysis underscores the paramount importance of data governance and its reliability in a rapidly advancing data-driven economy. New technologies are intrinsically dependent on large data sets for their evolution and effective implementation. The credibility and reliability of this data has become a significant concern, given the challenges surrounding the fragmented data landscape, coupled with varying beliefs about privacy and security globally.
Currently, the global data landscape is fragmented with diverse perspectives on data security and privacy. This fragmentation instigates difficulties and interruptions in the smooth flow of data, which is problematic for the increasingly interconnected global economy and even more so given the urgent need for cross-border data transfer. This disruption can impede numerous multinational sectors, particularly those falling under SDG 9 (Industry, Innovation and Infrastructure) and SDG 17 (Partnerships for the Goals).
To address these challenges, the Data Free Flow with Trust (DFFT) concept is posited, winning collective support from the G7 and G20 nations. This concept endorses enhanced interoperability of data-related regulations. Within the realms of DFFT, a key discussion point is data reliability and accuracy, imperative to trustworthy and efficient data management.
The significance of reliable data extends to the domain of tackling carbon climate change. Given the global reach of supply chains, accurate and reliable data is instrumental in managing the carbon footprint throughout these chains, which aligns with SDG 13 (Climate Action). As these chains span beyond national borders, ensuring the unimpeded flow of international data is necessary.
The summary also highlights the pressing need for cross-sector collaboration for robust data governance. Current data discussion forums have had a fragmented impact, limited to being ad hoc and sector-specific, underpinning the need for a permanent and international mechanism fostering cross-border data consultations.
The pivotal role of data was further epitomised in the global efforts to combat the COVID-19 pandemic. The analysis illustrates how data was harnessed to understand the virus thoroughly, drive vaccine development, and manage vaccination administration. Naturally, this importance raises concerns about the sensitivity of health-related data, necessitating careful handling. In anticipation of potential future pandemics, disaster preparedness strategies must incorporate data and technology use. Here, federated learning AI technologies could prove beneficial by training AI for diagnosis and prescription without the need to centrally accumulate personal health data.
Prominently, the value of convening diverse stakeholders, including policymakers, engineers, academics, and the private sector, is recognised for a multi-disciplinary dialogue on the latest technological advancements and possibilities.
Likewise, the proposal of establishing a permanent international forum for data policy dialogue has met broad acceptance, including from the G7 nations. This forum would likely play a crucial role in navigating the fragmented territory of data laws and regulations worldwide.
Concerns about the wider societal implications of data misuse were evident, particularly around the proliferation of disinformation and misinformation. The issue is codified as one that challenges not only technology, but also one that jeopardises common societal values like democracy, freedom, and the rule of law. Therefore, while the necessity of technological countermeasures to disinformation is acknowledged, the broader importance of data is emphasised as a matter integral to society at large, not confined to the economic sphere. In conclusion, the significance of robust data governance is an immediate priority for our data-dependent future.
Courtney Gregoire, Chief Digital Safety Officer, Microsoft
The detailed discourse underscores the potent capacity and potentialities of data in addressing a host of global challenges. From fuelling innovation and promoting equality to reshaping our approach towards environmental sustainability, data emerges as a formidable tool. Interlinked within this discourse is the symbiotic relationship between data and trust, showing how these components are mutually dependent and vital in meeting global objectives.
A recurrent theme is the importance of cross-border data flow. This perspective is robustly supported by the technology giant, Microsoft that champions the facilitation of data flows across borders under the principle of "data-free flow with trust". This advocates for a model that stimulates productivity and triggers innovation. This perspective aligns with the G20 declaration, accentuated by former Prime Minister Abe, highlighting the substantial role of data flow in driving sustainable development.
Nonetheless, the value of free-flowing data is contingent on users' confidence in the systemic security and privacy. The conversation leaned towards commercial privacy protections as an effective measure to provide assurance to users about the safety and confidentiality of their information. Key to this trust-building approach are foundational pillars of privacy, safety, security, and transparency that should be embedded into data usage policies.
The expansive potential inherent in robust data flow systems motivated discussions on the necessity for trusted mechanisms for data transfer and explicit government regulations for data access. Collaborative endeavours involving diverse stakeholders were encouraged, keeping trust at its core. The immense potential of data was acknowledged, advancing privacy and safety to tackling wide-ranging global issues and promoting equitability.
The potential of data-driven technologies paired with cross-border data flows to address inequality was stressed, showing the true value of a secure, trust-based, data-free flow. The COVID-19 pandemic was referred to as a case illustrating the power of data to address emerging global health inequities.
The transformative influence of data was recognised in the field of environmental sustainability, with companies like Microsoft applying data to escalate clean energy adoption and foster sustainable practices. Discussants emphasised the critical interplay between climatic challenges and data, advocating for data-driven climate commitments to ensure accountability.
However, concerns were raised around privacy threats due to third-party access and potential government surveillance. These concerns underscored the importance of implementing explicit principles on governmental access, as demonstrated by the OECD's Trusted Government Access Program. The necessity for building trust through multilateral agreements and trust frameworks like the US-EU accord was identified as a notable pathway.
In summary, the indispensable role of trust in facilitating data-free flow was reiterated. As Microsoft's initiatives attest, trust stimulates innovation and unveils global opportunities. It was concluded that the sensitive nature of data and the continuous process of nurturing and sustaining trust present a formidable task, demanding sustained commitment and a multitude of comprehensive strategies.
Leonida Mutuku, AI Research and Strategy Lead, Local Development Research Institute, Kenya
The Data Free Flow with Trust (DFFD) principle is key to encouraging international participation. This necessitates promoting bilateral data flow and enhancing data quality, both instrumental in cultivating trust in DFFD. This concept finds its basis in the African Union's data policy framework which was ratified by its member states and emphasises a people-focused approach to cross-border data sharing and policy frameworks. This position exhibits the necessity of positioning individuals at the heart of data ecosystems, underlining the immense value of their intrinsic viewpoints.
Crucially, the curating of data within these frameworks demands precise categorisation. High-quality data, compliant with standards put forth by movements such as open government, is of paramount importance. This ensures accurate representation across global platforms and aids in combating discriminatory practices, thereby advancing inclusivity.
Addressing data inequality was flagged as a main concern. To counter this, it has been suggested that data processing should be handled solely by individuals well versed with the data sources. This method guarantees an understanding of the originating context and reduces the risk of contextual errors.
An issue identified was the prevalent 'scarcity mentality' in data collection, which could exacerbate inequalities. Accruing vast volumes of data may not be as beneficial as carefully selecting and analysing relevant data. Similarly, due diligence needs to be exercised when processing data for under-resourced languages to prevent loss of vital context and assure inclusivity.
Partnerships are central to data sharing, integral to the global monitoring of ecosystems. Space agencies, among others, are leading this charge by providing essential surveillance data. Nonetheless, effective policy oversight is crucial for successful cross-border data sharing, challenging authorities and policy institutions to heighten their oversight capabilities to support the Sustainable Development Goals (SDGs).
Building trust in institutions responsible for data collection is imperative. This rests on their proficiency, transparency, and adherence to accountability practices that inspire confidence in the populace.
The utilisation of surveillance systems, such as DHIS-2, demonstrates the power of open-source tools in logging and sharing anonymised, disaggregated health indicators. Similarly, AI-driven health systems, using shared datasets, hold potential for remarkable breakthroughs in disease discovery and treatment development. Yet, the significant challenge of data attribution still remains, underlining the importance of clarity of origin, trust in datasets, and delivering dividends to original data owners.
A comprehensive data strategy was highlighted as an overarching necessity. Trust within data flows can arguably be underpinned by the effective establishment of such a strategy, influencing corporate governance and multi-stakeholder regime norms. A key point is compliance with cultural sensitivity tenets, particularly important when involving indigenous communities where data sovereignty might be compromised.
Finally, the Championing of regulatory and operational sandboxes was proposed as a tangible solution to promote good governance among stakeholders. Emphasising transparency, accountability, and enforcement capabilities among data governance institutions reinforces their essential role in ensuring compliance with data governance principles. Ultimately, trust in data and data-centric technologies may serve as transformers and accelerators in the journey towards achieving the SDGs.
Moderator
The comprehensive discussions on data governance highlighted the necessity of continuously adapting to the increasingly vital role that data plays in an evolving economic landscape. Recognising the importance of Artificial Intelligence (AI) technologies, which require large datasets for training, panelists urged that data needs to be able to travel smoothly around the globe. However, the discussions also stressed the existing fragmentation of the global landscape of data governance, characterised by differing views about privacy and security across various regions. To address this, the proposal of DFFT (Data Free Flow with Trust), aimed at enhancing interoperability of data-related regulations, was discussed with neutrality.
Alongside this, the reliability and accuracy of data, as well as the credibility of data origin, were key focuses. An increase in misinformation and disinformation, particularly in the digital sphere, amplified the call for more stringent scrutiny of the credibility and reliability of data sources. Action-centric changes in this area included creating an international arrangement to discuss data intricacies, transcending ad-hoc and sector-specific forums, as well as implementing concrete projects to facilitate cross-border data transfer, irrespective of divergent data transfer regulations.
The sentiment toward these proposals was predominantly positive, with variations in perspective and nuances based on regional needs and concerns. For instance, Junhua Li, representing the Global South, proposed that advancing the DFFT initiative globally requires participation from a majority of UN members, all stakeholders, and the general public. Echoing this sentiment, various discussions highlighted the need for partnerships for goals, promoting diverse participation and encouraging an inclusive, multi-stakeholder approach to ensure
Speakers
CG
Courtney Gregoire
Speech speed
173 words per minute
Speech length
2191 words
Speech time
761 secs
Arguments
Microsoft supports facilitation of cross-border data flows and the data-free flow with trust
Supporting facts:
- Former Prime Minister Abe mentioned in the G20 declaration on the importance of cross-border flow of data, information, ideas, and knowledge for higher productivity, greater innovation, and improved sustainable development
Topics: data flow, data trust, Microsoft, Cross-border
The value of free flow of data with trust centers around users feeling confident their data is secure and private
Supporting facts:
- Need for commercial privacy protections to ensure users' information is protected
Topics: trust, data flow, data privacy, data security
Trusted mechanisms for data transfer and clear rules for government access to data are needed
Topics: data transfer, government access to data, data flow
Data can be used to advance privacy, safety and security, and also address global issues and promote equitability
Topics: data use, privacy, safety, security, global issues, equitability
Data-driven technologies and cross-border data flows can address inequality.
Supporting facts:
- 2020 World Economic Forum study found that approximately half of cross-border services trade is enabled by digital connectivity.
- Data is currently flowing in many ways, but often unilaterally
- Innovation and economic opportunity can be fueled by a truly protected data-free flow with trust
- The COVID-19 pandemic has highlighted the role data plays in promoting innovation and addressing global health inequity.
Topics: data-driven technologies, cross-border data flows, inequality
Microsoft is leveraging data to drive sustainability changes and transition to a clean energy economy
Supporting facts:
- Microsoft has been making a deep investment in clean energy and sustainability
- Through policy and investments that harness the power of data, Microsoft is aiming for a future of climate, water, ecosystems, and a resilient clean energy grid
Topics: Climate Change, Clean Energy, Data-driven Policy, Investments
Microsoft is using AI and data to help farmers adapt to climate change and make better crop decisions
Supporting facts:
- Microsoft partnered through Project Farm Vibes to help farmers adapt to climate change
- AI and data are used to help farmers make better decisions around planting, watering, and fertilizing crops
Topics: AI, Agriculture, Climate Change
COVID-19 has incentivized organizations to shift their approach to sharing data
Supporting facts:
- COVID-19 epidemic becoming a mother of innovation
Topics: COVID-19, Data Sharing
Privacy should be the priority when sharing health data
Supporting facts:
- This is the most highly sensitive data that can impact personal privacy and future ability to access healthcare
Topics: Data Privacy, Health Data Sharing
Lack of regulatory clarity for health data is restricting global research
Topics: Healthcare, Policy, Research
Lack of national laws, adequate mechanisms, technology, and understanding inhibit the ability to achieve set data privacy goals
Supporting facts:
- Gaps in these areas restrict true achievement of goals
Topics: Data privacy, National laws, Technology
Institutional Arrangement for Partnerships' broad agenda for tackling regulatory and implementation gaps, promoting interoperability of rules and clarifying leadership roles of international organizations should be embraced
Supporting facts:
- This initiative intends to address the gaps mentioned earlier in a holistic manner
Topics: Regulation, Institutional Arrangement for Partnerships, International organizations, Interoperability
Progress has been made in addressing third-party access to data concerns via principles and trusted frameworks like the OECD Trusted Government Access Program
Supporting facts:
- Recent development have brought about principles creating transparency about rules for government access
Topics: OECD Trusted Government Access Program, Data privacy, Government surveillance
The importance and critical need for data free-flow and its impact on innovation and global opportunities
Supporting facts:
- Microsoft ran a multi-year campaign called 'Microsoft Run on trust' focusing on building trust every day in regard to data free-flow
- Data can become an opportunity for economic growth
- The decisions regarding data will directly impact the lives of the younger generation for the years to come
Topics: Data free-flow, Innovation, Global opportunities, Trust
Report
The detailed discourse underscores the potent capacity and potentialities of data in addressing a host of global challenges. From fuelling innovation and promoting equality to reshaping our approach towards environmental sustainability, data emerges as a formidable tool. Interlinked within this discourse is the symbiotic relationship between data and trust, showing how these components are mutually dependent and vital in meeting global objectives.
A recurrent theme is the importance of cross-border data flow. This perspective is robustly supported by the technology giant, Microsoft that champions the facilitation of data flows across borders under the principle of "data-free flow with trust". This advocates for a model that stimulates productivity and triggers innovation.
This perspective aligns with the G20 declaration, accentuated by former Prime Minister Abe, highlighting the substantial role of data flow in driving sustainable development. Nonetheless, the value of free-flowing data is contingent on users' confidence in the systemic security and privacy.
The conversation leaned towards commercial privacy protections as an effective measure to provide assurance to users about the safety and confidentiality of their information. Key to this trust-building approach are foundational pillars of privacy, safety, security, and transparency that should be embedded into data usage policies.
The expansive potential inherent in robust data flow systems motivated discussions on the necessity for trusted mechanisms for data transfer and explicit government regulations for data access. Collaborative endeavours involving diverse stakeholders were encouraged, keeping trust at its core. The immense potential of data was acknowledged, advancing privacy and safety to tackling wide-ranging global issues and promoting equitability.
The potential of data-driven technologies paired with cross-border data flows to address inequality was stressed, showing the true value of a secure, trust-based, data-free flow. The COVID-19 pandemic was referred to as a case illustrating the power of data to address emerging global health inequities.
The transformative influence of data was recognised in the field of environmental sustainability, with companies like Microsoft applying data to escalate clean energy adoption and foster sustainable practices. Discussants emphasised the critical interplay between climatic challenges and data, advocating for data-driven climate commitments to ensure accountability.
However, concerns were raised around privacy threats due to third-party access and potential government surveillance. These concerns underscored the importance of implementing explicit principles on governmental access, as demonstrated by the OECD's Trusted Government Access Program. The necessity for building trust through multilateral agreements and trust frameworks like the US-EU accord was identified as a notable pathway.
In summary, the indispensable role of trust in facilitating data-free flow was reiterated. As Microsoft's initiatives attest, trust stimulates innovation and unveils global opportunities. It was concluded that the sensitive nature of data and the continuous process of nurturing and sustaining trust present a formidable task, demanding sustained commitment and a multitude of comprehensive strategies.
JL
Junhua Li
Speech speed
124 words per minute
Speech length
1333 words
Speech time
647 secs
Arguments
Filling the gaps and voids through institutionalizing partnership is doable
Supporting facts:
- The DFFT initiative, proposed by the G7 and discussed at the G20
Topics: institutional partnership, filling gaps and voids
Advancement of 2030 agenda using data and digital tools
Supporting facts:
- The SDG program, initiated in 2015, has seen only about 15 targets on track with over one third off track or in recession after eight years
Topics: Advancement of 2030 agenda, data and digital tools
Need for greater participation from majority of UN members, public stakeholders, private sector, academia, youth
Topics: Greater participation, Stakeholders
Monitoring and data flows across borders are significant for cooperative SDG efforts
Supporting facts:
- SDGs is global in nature and many of our challenges are cross-border
- Cross-border data sharing and international cooperation are essential for achieving the SDGs
- United Nations Department of Economic and Social Affairs has devoted 70 years to facilitate the member states in capacity building and also norm setting, governing the data sharing and data collecting
Topics: SDGs, Data Sharing, International Cooperation
Digital divide and inequality in data is a serious phenomenon that needs to be addressed
Supporting facts:
- Digital divide exists between the countries or even within the countries, impacting the quality of data and its sharing.
Topics: Digital Divide, Data Inequality
Cross-border sharing also foster collaboration and knowledge exchange.
Supporting facts:
- UN Data Commons for SDGs was launched as an integrated platform for SDG data and information sources from all UN entities.
- Early warning system for disaster reduction, which is fundamentally depended upon data sharing
Topics: Cross-Border Sharing, Collaboration, Knowledge Exchange
Global data governance structure needs to be enhanced
Supporting facts:
- Huge gap in the current global data governance structure
Topics: Data Governance, Global Framework
Concerns about developing members potentially becoming mere data providers
Supporting facts:
- Business located somewhere not in their own territories could potentially limit their governments and local business access to data
- This could put them at a disadvantage in international markets and cooperation
Topics: Data Flow, Global South, National Institutions
It is important to bridge the digital divide within the country or between the countries
Supporting facts:
- We need to ensure that the digital divides are not exacerbated by free data flows
Topics: Digital Divide, Free Data Flows, Data Economy
It is important to ensure the privacy and security of the data
Supporting facts:
- We need to make sure the people's data is protected, especially when it is transferred to countries
Topics: Data Privacy, Data Security, Data Governance
Data sovereignty must be respected
Topics: Data Sovereignty, Global Data Governance
Secretary General of the United Nations, Mr. António Guterres proposed a global digital compact
Supporting facts:
- This initiative will be discussed at the forthcoming summit of the future to be held in September 2024
Topics: Global Digital Compact, UN Global Governance
Report
In the discussions, the importance of institutional partnerships in addressing deficiencies and driving progress towards the 2030 agenda was positively received. The G7-sponsored DFFT initiative, which underscores the greater use of data and digital tools for progressing said agenda, captured the majority of discussions.
Filling gaps and progressing institutional partnerships were identified as viable and essential goals. Speakers emphasised the need for broad participation, encompassing UN members, public stakeholders, private sector entities, academic institutions and youth. This was seen as vital in stimulating dialogue on these topics and fostering a collaborative atmosphere to tackle social issues effectively.
Implementation of the Sustainable Development Goals (SDGs) is widely accepted to hinge on robust cross-border data sharing and international cooperation. However, there are ongoing concerns over the persisting digital divide and data inequality within and between countries. These issues have the potential to significantly impede the realisation of the SDGs.
Calls for the enhancement of global data governance structures were accentuated, propounding for the establishment of a rigorous, global framework capable of proficiently managing data to ensure effective and secure data flow. Upholding data sovereignty emerged as a paramount factor in these proposed enhancements to data governance.
The push for a stronger public digital infrastructure and the fosterage of data capacity were also underscored as fundamental to the efficient implementation of SDGs. The discussion also highlighted the urgent need to bolster national institutions and augment accountability. This could be achieved via support from the Global South and the advocation of robust data sharing practices and governance structures.
UN Secretary-General, Mr António Guterres's proposal of a global digital compact was met with strong approval, marking a potent milestone for global digital governance. Attendees were urged to engage in discussions and consultations within the United Nations framework on this potential initiative.
A summit to elaborate on this matter is scheduled for September 2024. Observers of the dialogue underscored the criticality of the subjects discussed, recognising them as defining for the direction of globalisation and the inclusivity of digital resources. Consensus was reached that, with strategic investment and international cooperation, it is possible to overcome current digital divides and achieve the 2030 SDG targets.
LM
Leonida Mutuku
Speech speed
132 words per minute
Speech length
2015 words
Speech time
919 secs
Arguments
Trust in Data Free Flow with Trust (DFFD) increases likelihood of global participation
Supporting facts:
- The Africa Union's data policy framework adopts a people-centered approach to cross-border data sharing and policy frameworks.
Topics: DFFD, Trust, Data Flow
People should be at the center of data ecosystems
Supporting facts:
- The Africa Union's data policy framework was ratified by African Union member states last year.
Topics: Data Policy, Data Ecosystems
Data categorization, bi-lateral data flow, and quality of data are essential for trust in DFFD
Topics: DFFD, Data Flow, Data Quality, Data Categorization
Address inequality by ensuring data processing is handled by individuals who understand the context and nuances of the data source.
Supporting facts:
- Data tends to be extracted from one jurisdiction to another, raising concerns about understanding of the originating context.
- Participation in data processing by those familiar with the data source is crucial.
Topics: Data Inequality, Data Processing, Context Understanding
Scarcity mentality in data collection can exacerbate inequality; focus should be on specific, relevant data.
Supporting facts:
- AI researchers tend to want as much data as possible for decision making.
- Critically analyzing and selecting relevant data is important.
Topics: Data Scarcity, Relevant Data, AI decision making
Proper processing of under-resourced languages is necessary to avoid context loss.
Supporting facts:
- Mistranslations or missing context can arise due to lack of participation in processing of under-resourced language data.
Topics: Under-resourced Languages, Data Processing
Partnerships are essential for effective surveillance of ecosystems
Supporting facts:
- Data partnerships amongst nations enable us to be able to surveil similar ecosystems.
- Institutions such as the space agencies who already are surveilling can provide necessary data.
Topics: Surveillance of ecosystems, Partnerships, Earth observations
The need for policy oversight and management of these partnerships is crucial
Supporting facts:
- Policy oversight helps manage the cross-border data sharing to support SDGs.
- It is important to capacitate the government institutions, poli-institutions to provide oversight.
Topics: Policy oversight, Management of partnerships, Cross-border data sharing
Trust in institutions collecting data is important for impacting decisions
Supporting facts:
- Trust is built by understanding whether these institutions are proficient, transparent and accountable.
- Relevant engagement is required to explain to citizens how these datasets are utilized.
Topics: Trust, Transparency, Accountability
Partnerships enable the addressing intersectional issues effectively as many societal issues that the SDGs aim to address are intersectional
Supporting facts:
- Different data sets collected for different reasons and in different sectors touch many societal issues.
- In agriculture, nutrition, energy, and health are issues intertwined where different genders, women, and marginalized groups should be represented.
Topics: Intersectional issues, Partnerships, SDGs
Surveillance systems are useful tools for logging and sharing anonymized, disaggregated health indicators.
Supporting facts:
- DHIS-2 is an open-source tool that countries use to log different health-related indicators.
- The data in DHIS-2 is anonymized and disaggregated, which allows trends to be observed across different health and nutrition outcomes.
Topics: Surveillance systems, Data sharing, Health indicators
AI-generated health systems can utilize shared datasets safely for disease discovery and new treatments, provided there is clear attribution.
Supporting facts:
- Data sets of x-rays and scans can be used for disease discovery and the development of new treatments.
- Potential issues include knowing who selected the datasets and ensuring there is trust in them as well as ensuring the original owners of the datasets receive dividends from their global use.
Topics: AI health systems, Data sharing, Disease discovery, Attribution
The need for a multi-stakeholder regime and an emphasis on corporate governance practices in the establishment of a data strategy
Supporting facts:
- Establishment of a data strategy should precede promotion of trust within data flows
- It's important to categorize data subject to the flows
- Consideration of the level of participation of companies in different jurisdictions is key
Topics: Data Strategy, Corporate Governance, Multi-Stakeholder Regime
Monitoring and evaluation is critical in ensuring corrective measures
Supporting facts:
- It assures corrective measures in case of any missteps
Topics: Monitoring and Evaluation, Good Governance, Data Flows, Data Strategy
Trust has to be gained first and foremost.
Supporting facts:
- Trust is only gained when institutions that hold data on people and those appointed to govern these data flows have legitimacy.
Topics: data flow, trust
Institutions should be transparent and accountable.
Supporting facts:
- These institutions should have a feedback mechanism, indicating a two-way engagement with the data subjects.
Topics: transparency, accountability
Institutions should have the capacity for enforcement.
Supporting facts:
- These institutions should have the capacity building and enforcement to ensure adherence to any rules that are set in place.
Topics: data governance, enforcement
Report
The Data Free Flow with Trust (DFFD) principle is key to encouraging international participation. This necessitates promoting bilateral data flow and enhancing data quality, both instrumental in cultivating trust in DFFD. This concept finds its basis in the African Union's data policy framework which was ratified by its member states and emphasises a people-focused approach to cross-border data sharing and policy frameworks.
This position exhibits the necessity of positioning individuals at the heart of data ecosystems, underlining the immense value of their intrinsic viewpoints. Crucially, the curating of data within these frameworks demands precise categorisation. High-quality data, compliant with standards put forth by movements such as open government, is of paramount importance.
This ensures accurate representation across global platforms and aids in combating discriminatory practices, thereby advancing inclusivity. Addressing data inequality was flagged as a main concern. To counter this, it has been suggested that data processing should be handled solely by individuals well versed with the data sources.
This method guarantees an understanding of the originating context and reduces the risk of contextual errors. An issue identified was the prevalent 'scarcity mentality' in data collection, which could exacerbate inequalities. Accruing vast volumes of data may not be as beneficial as carefully selecting and analysing relevant data.
Similarly, due diligence needs to be exercised when processing data for under-resourced languages to prevent loss of vital context and assure inclusivity. Partnerships are central to data sharing, integral to the global monitoring of ecosystems. Space agencies, among others, are leading this charge by providing essential surveillance data.
Nonetheless, effective policy oversight is crucial for successful cross-border data sharing, challenging authorities and policy institutions to heighten their oversight capabilities to support the Sustainable Development Goals (SDGs). Building trust in institutions responsible for data collection is imperative. This rests on their proficiency, transparency, and adherence to accountability practices that inspire confidence in the populace.
The utilisation of surveillance systems, such as DHIS-2, demonstrates the power of open-source tools in logging and sharing anonymised, disaggregated health indicators. Similarly, AI-driven health systems, using shared datasets, hold potential for remarkable breakthroughs in disease discovery and treatment development.
Yet, the significant challenge of data attribution still remains, underlining the importance of clarity of origin, trust in datasets, and delivering dividends to original data owners. A comprehensive data strategy was highlighted as an overarching necessity. Trust within data flows can arguably be underpinned by the effective establishment of such a strategy, influencing corporate governance and multi-stakeholder regime norms.
A key point is compliance with cultural sensitivity tenets, particularly important when involving indigenous communities where data sovereignty might be compromised. Finally, the Championing of regulatory and operational sandboxes was proposed as a tangible solution to promote good governance among stakeholders.
Emphasising transparency, accountability, and enforcement capabilities among data governance institutions reinforces their essential role in ensuring compliance with data governance principles. Ultimately, trust in data and data-centric technologies may serve as transformers and accelerators in the journey towards achieving the SDGs.
M
Moderator
Speech speed
138 words per minute
Speech length
2446 words
Speech time
1063 secs
Arguments
Importance of data in a data-driven economy
Supporting facts:
- AI technologies need large datasets to train
- Data needs to travel around the world smoothly
Topics: Data regulations, Data governance, Privacy, Security
Global landscape of data or data governance is fragmented
Supporting facts:
- Different regions have various ideas about privacy and security
- DFFT is proposed to increase interoperability of data-related regulations
Topics: Data regulations, Data governance
Necessity to address reliability and accuracy of data
Supporting facts:
- Increase in misinformation and disinformation
- Need to scrutinize credibility of originator of data
Topics: Data quality, Data credibility
Junhua Li suggests that advancing the DFFT initiative globally needs more participation from the majority of UN members, all stakeholders, and the general public
Supporting facts:
- The DFFT initiative was proposed by the G7 and discussed at the G20
- SDG program initiated in 2015, has been off track or in recession in more than one third of its targets after 8 years
- Data and digital are powerful tools to potentially advance the 2030 agenda
Topics: DFFT initiative, global participation, UN, stakeholders, SDG Summit, Sustainable Development Goal program, data, digital
Trust and participation are essential in DFFDs
Supporting facts:
- Trust increases participation and ensures no one is left behind
Topics: Trust, Participation, Data Flow
Recommendations of the Africa Union's data policy framework
Supporting facts:
- Framework was ratified by African Union member states
- Focuses on people-centered approach to data sharing
- Framework considers uneven economic and human development
Topics: Policy, Data sharing
Three key suggestions to build trust in data flows
Supporting facts:
- Data categorization involves identifying what kind of data should flow cross-border
- Unilateral data flow should be avoided, data flow should be mutual
- Emphasis on ensuring data quality to prevent exacerbating discriminatory practices
Topics: Data categorization, Unilateral data flow, Data quality
Microsoft supports facilitation of cross-border data flows and the data-free flow with trust
Supporting facts:
- Japan has led an initiative for free flow of data with trust
- This principle enhances productivity, innovation, and sustainable development
Topics: Cross-border data flows, Data Privacy, Data Security
Trust in data flows requires privacy, safety, security, and transparency
Supporting facts:
- Users must feel confident that their data is moving securely
- Need strong commercial privacy protections
- Clear rules to regulate government access to data
Topics: Data Privacy, Data Security, Trust in Technology
Responsible cross-border data flows could address prevalent imbalance
Supporting facts:
- Data and cross-border data flows are increasingly important for development
- Data-driven technologies rely on large amounts of data
- Developing countries with smaller populations may be at a natural disadvantage
Topics: Cross-border data flows, Data Imbalance, Data Inequality
We are in an era of data-driven economic opportunity, therefore there is a need to have a serious conversation about where the future growth lies.
Supporting facts:
- A 2020 World Economic Forum Study found that approximately half of cross-border services trade is enabled by digital connectivity.
Topics: Data-driven economy, Future growth, Digital connectivity
Data is driving many economic opportunities, but these opportunities may not be equally distributed globally
Topics: Data-driven economy, Digital divide, Global inequality
Innovation is fueled by protected, free data flows with trust which can foster global economic equality
Topics: Data protection, Trust, Innovation
Data plays a fundamental role in addressing global health inequities and fostering opportunities
Supporting facts:
- The COVID-19 pandemic highlighted the importance of data in fostering health innovation and addressing global health inequities
Topics: Global health, Data, COVID-19 pandemic
Data tends to be extracted from one jurisdiction to another, with potential for exacerbation of inequality
Supporting facts:
- Data is frequently moved across international borders for processing
Topics: Data extraction, Inequality
The importance of understanding the cultural context and nuances of data
Supporting facts:
- Data processed by individuals unfamiliar with its context can lead to issues such as mistranslations or missing context
Topics: Data processing, Culture, Knowledge
Scarcity mentality in data collection and its potential drawbacks
Supporting facts:
- AI researchers tend to want to collect as much data as possible, but the quality and relevance of data is more important than quantity
Topics: Data collection, Artificial intelligence
The potential of monitoring and data flows across borders in cooperative SDG efforts
Supporting facts:
- High-quality, disaggregated data and mapping interactions among different initiatives are needed to monitor progress towards the SDGs
Topics: Sustainable Development Goals (SDGs), Data flows, Cooperation, Monitoring
Cross-border data sharing and international cooperation are important for achieving the SDGs
Supporting facts:
- The challenges we face are global and cross-border in nature
- Monitoring and sharing data are important for overcoming these challenges
Topics: Data sharing, International cooperation, Sustainable Development Goals
Inequality in data and the digital divide are major challenges
Supporting facts:
- There is inequality in data and a digital divide between and within countries
Topics: Inequality, Digital divide
Cross-border data sharing fosters collaboration and knowledge exchange
Supporting facts:
- Early warning systems in disaster reductions need cross-border data sharing
Topics: Cross-border data sharing, Collaboration, Knowledge exchange
Partnerships and data sharing among nations can greatly aid in overseeing similar ecosystems
Supporting facts:
- Data partnerships allow countries to share responsibilities and resources in overseeing ecosystems, especially when they lack the capacity to do so individually
- Space agencies can also contribute greatly due to their existing surveillance capabilities
Topics: Earth Observations, Surveillance, Data Partnerships
Necessities for successfully managing these partnerships include policy oversight and trust in institutions
Supporting facts:
- Policy oversight can ensure the correct and effective use of shared data
- If mechanisms are transparent and accountable, and there is engagement with citizens, trust can be achieved in institutions
Topics: Government Institutions, Policy Oversight, Data Sharing, Trust, Transparency, Accountability
Intersectional societal issues can benefit from data collaboration across sectors
Supporting facts:
- Many societal issues intersect across different sectors and can be addressed more effectively with cross-sector data collaboration
- Specifically, issues related to gender, nutrition, energy and health can benefit from such collaboration
Topics: Intersectionality, "SDG Goals, Cross-Sector Collaboration
Climate change impact is global and prevalent in our lives
Topics: Climate Change, Global Impact
Data can drive sustainability changes and accelerate the transition to a clean energy economy
Supporting facts:
- Microsoft has been making a deep investment in this for many years
Topics: Data, Sustainability, Clean Energy
Accountability for commitments made for climate targets must be achieved
Supporting facts:
- Microsoft partnered with Global's Renewable Watch to track energy resources like wind and solar installations
Topics: Climate targets, Accountability
Helping adapt communities to climate changes is a pressing issue
Supporting facts:
- Project Farm Vibes helped farmers adapt to climate change using AI-powered data
Topics: Adaptation, Climate Change
Need for accurate and trustworthy data on carbon footprint in the global supply chain for tackling climate change
Supporting facts:
- Data needs to be measured accurately and is not tampered
- Data sharing between countries in an interoperable manner is vital
Topics: Climate Change, Carbon Footprint
Increased interoperability of cross-border data flow is necessary for all SDG projects
Supporting facts:
- No country can achieve SDGs alone
- Data exchange and accuracy is crucial
Topics: Data Interoperability, SDGs
Importance and potential of open-source health surveillance systems like DHIS-2 in tracking health and nutrition outcomes
Supporting facts:
- DHIS-2 is an open-source tool used by African countries to log health-related information
- The data on DHIS-2 is anonymized and disaggregated enough to pick trends of health and nutrition outcomes across different indicators
Topics: open-source health surveillance systems, health data, AI in health systems
The need for a framework for sharing and utilization of health data sets globally
Supporting facts:
- Data sets like x-rays and scans could be utilized and shared safely to support disease discovery and new treatment methods
- Issues around data attribution and dividends for data owners once the data is utilized globally need to be addressed
Topics: global health data sharing, data privacy and ethics in health data, cross-border data flows
Taro Kono emphasizes the importance of data sharing, computer power, and AI technology in dealing with COVID and possible future pandemics
Supporting facts:
- Federated learning AI technologies could train for diagnosis and prescription of medicine without gathering personal health data at one point
- There is a need for policymakers to sit with engineers, experts, academia, and private sector to discuss available and latest technologies
Topics: Artificial Intelligence, Technology, Data Analysis, COVID-19, Public Health
COVID-19 has incentivized organizations to shift their approach and understand that immersive sharing of data is critical to the future of public health.
Supporting facts:
- COVID-19 epidemic has led to more innovation in data sharing
- The need for trustworthy frameworks for data sharing has been acknowledged.
Topics: COVID-19, data sharing, public health
Privacy must be at the heart of data sharing, especially when it comes to sensitive health data.
Supporting facts:
- Fears about privacy impact are a big concern for users sharing health data
- The lack of clarity in regulatory requirements for health data impacts the progress in global research.
Topics: privacy, data sharing, health data
Data governance was ad-hoc and sector-based in the past
Supporting facts:
- Discussions on data governance were conducted haphazardly
- Sector-based approach to data governance was previously adopted
Topics: data policy, data governance
International framework for data governance policy is necessary
Supporting facts:
- G7 countries agreed to set up an international framework
- idea of DFFT proposed by Prime Minister Abe
Topics: data policy, data governance, international relations
Harmonization of data policies around the world is difficult given regional differences
Supporting facts:
- Europe has GDPR, the US has looser regulatory frameworks
Topics: data policy, international relations, regional disparity
Creation of a regulatory sandbox for data governance
Supporting facts:
- Regulatory sandbox to test emerging technologies
- International Arrangement for Partnership discussed
Topics: data policy, regulation, sandboxing
Establishment of permanent secretariat, government and non-government panels
Supporting facts:
- International forum proposed under the umbrella of an international organization
- Experts from academia and private sector to be part of the panel
Topics: administration, government, non-governmental organizations
There's a huge gap in the global data governance structure
Supporting facts:
- Minister Connell statement
Topics: Global Data Governance, Policy Making
We need a global framework or mechanism to enhance the global data governance, including data flow with trust
Topics: Global Data Governance, Data Flow, Trust
The Global South may be primarily providing data to businesses located elsewhere, limiting their access to that data
Topics: Data Management, Global South, Business Location
This dynamic could potentially disadvantage them in international markets
Topics: International Markets, Digital Infrastructure
We need to strengthen the national institutions and accountability
Topics: Accountability, National Institutions
This requires a regulatory framework and a stronger public digital infrastructure and data capacity
Topics: Regulatory Framework, Digital Infrastructure, Data Capacity
This requires an agreement on robust data sharing practices and a governance structure
Topics: Data Sharing Practices, Governance Structure
The gaps inhibiting the achievement of data protection goals include national laws, lack of mechanisms, and limited technology understanding.
Supporting facts:
- National laws and inadequate mechanisms contribute to these gaps.
- Insufficient knowledge on how to enhance privacy with technology is a barrier.
Topics: Data protection, National laws, Technology
Promoting the interoperability of rules and identifying where international organizations can lead is important.
Supporting facts:
- The Institutional Arrangement for Partnerships aims to identify regulatory and implementation gaps.
- Interoperability can promote harmony between laws across different regions.
Topics: International organizations, Regulations, Interoperability
There's a fear and mistrust around third-party access to data, especially concerning government access.
Supporting facts:
- Mistrust comes from the fear that technology providers will release personal data to another government.
- This problem exists at both the consumer and government level.
Topics: Data privacy, Government access, Third party access
Frameworks like OECD Trusted Government Access Program help in establishing trust and provide transparency.
Supporting facts:
- The program outlines rules for government access.
- It showcases commonalities between rights-respecting democracies.
Topics: Trust, Transparency, OECD Trusted Government Access Program
Emphasis on multi-stakeholder regime, data stratagy and categorize data flows
Supporting facts:
- Establishment of a data strategy as a corporate governance practice
- Involvement of companies in data flow regimes
Topics: Data Strategy, Multi-Stakeholder Regime, Data Flows
Ensuring practices are non-extractive and sensitive to cultural norms
Supporting facts:
- Need for maintaining ethical and cultural sensitivity
- Case of data flow involving indigenous communities
Topics: Data flows, Practice and Ethics
Need for addressing data structure, adopting operationalization initiatives, and monitoring and evaluation
Supporting facts:
- Data structure that started in 2014 to provide a way for proportionate data execution
Topics: Data structure, Monitoring and Evaluation, Operationalization Initiatives
Important to bridge the digital divide within countries and between countries
Supporting facts:
- Need to ensure that data flows don't exacerbate digital divide
- Need to include all stakeholders and developing countries in decision making
Topics: Digital Society, Digital Divide, Data Economy
Ensure the privacy and security of data and data applications, especially during cross-border transfers
Topics: Data Security, Data Privacy, Cross-border Data Transfers
Respect for data sovereignty is vital
Topics: Data Sovereignty, Data Governance
Endorsement for the global digital compact by the United Nations
Supporting facts:
- Proposal by UN Secretary General António Guterres
- Discussion at the forthcoming summit of the future in September 2024
Topics: Global Data Governance, United Nations
There is a need to advance and institutionalize data-free flow with trust
Supporting facts:
- Microsoft ran a multi-year campaign focused on building trust
- Data can be a driver of innovation and economic opportunity
Topics: Data transfer, Economic opportunity, Innovation, Trust
The next generation of users, children and teens, should be included in the conversation as the decisions made will impact their lives for generations to come
Topics: Next generation, Data transfer, Innovation
the dialogue around data governance is complex and multi-faceted
Supporting facts:
- requires a balance between the free flow of data and the establishment of trust
Topics: Data Governance, Trust, Data free flow
Maintaining an inclusive multi-stakeholder approach in developing policies and frameworks Ensuring that the policies and frameworks reflect our diverse realities, needs, and perspectives
Supporting facts:
- Importance of cooperation and collaboration for forming policies and frameworks
Topics: Inclusivity, data governance, multi-stakeholder approach
Continuous engagement in dialogue, sharing best practices and innovative solutions
Topics: Dialogue, Best Practices, Innovative solutions
Report
The comprehensive discussions on data governance highlighted the necessity of continuously adapting to the increasingly vital role that data plays in an evolving economic landscape. Recognising the importance of Artificial Intelligence (AI) technologies, which require large datasets for training, panelists urged that data needs to be able to travel smoothly around the globe.
However, the discussions also stressed the existing fragmentation of the global landscape of data governance, characterised by differing views about privacy and security across various regions. To address this, the proposal of DFFT (Data Free Flow with Trust), aimed at enhancing interoperability of data-related regulations, was discussed with neutrality.
Alongside this, the reliability and accuracy of data, as well as the credibility of data origin, were key focuses. An increase in misinformation and disinformation, particularly in the digital sphere, amplified the call for more stringent scrutiny of the credibility and reliability of data sources.
Action-centric changes in this area included creating an international arrangement to discuss data intricacies, transcending ad-hoc and sector-specific forums, as well as implementing concrete projects to facilitate cross-border data transfer, irrespective of divergent data transfer regulations. The sentiment toward these proposals was predominantly positive, with variations in perspective and nuances based on regional needs and concerns.
For instance, Junhua Li, representing the Global South, proposed that advancing the DFFT initiative globally requires participation from a majority of UN members, all stakeholders, and the general public. Echoing this sentiment, various discussions highlighted the need for partnerships for goals, promoting diverse participation and encouraging an inclusive, multi-stakeholder approach to ensure
TK
Taro Kono
Speech speed
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Speech length
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Speech time
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Arguments
The importance of data reliability
Supporting facts:
- New technologies require large sets of data
- Current global landscape of data is fragmented
- Issues include the credibility of the data origin and modification history
Topics: data governance, data-driven economy, Data Free Flow with Trust (DFFT)
Need for cross-border data transfer
Supporting facts:
- Many nations have different ideas about privacy and security resulting in fragmented data governance
- Data needs to travel around the world without interruptions or delays
Topics: Fragmented global landscape on data flows, economic, privacy and national security concerns
Accurate and trustworthy data on carbon footprint throughout the supply chain is necessary to tackle carbon climate change
Supporting facts:
- Supply chain nowadays go beyond the national border
- Data accuracy, correctness and tamper-proof nature is crucial
Topics: carbon climate change, accurate data, supply chain
Data is essential in pandemic response efforts, such as understanding COVID-19, developing a vaccine and administering vaccinations.
Supporting facts:
- To analyze COVID-19, develop a vaccine, and administer vaccinations data was used.
Topics: COVID-19, Data, Vaccine
Personal health data is highly sensitive, necessitating more care and precaution during use.
Supporting facts:
- The Minister acknowledged the sensitivity of health-related data.
Topics: Data Privacy, Healthcare
The potential for another pandemic necessitates preparation, including incorporation of data and technology.
Topics: Pandemics, Preparedness
Need for a cross-board and continuous discussion about data governance
Supporting facts:
- Prime Minister Abe proposed idea of DFFT in 2019
- G7 Digital Ministers meeting agreed to set up framework
Topics: Data Governance, Telecommunication Policy
Need for an international database on data regulations and a regulatory sandbox
Supporting facts:
- Database would furnish information on requirements to do business in a specific country
- Regulatory sandbox would test each new and emerging technology
Topics: Data Regulations, Emerging Technologies
Importance of accuracy and trustworthiness of data in AI technology
Supporting facts:
- AI technology needs a lot of data feeding for accuracy
- People are reading disinformation and misinformation without knowing if they are accurate
Topics: AI technology, Data credibility, Disinformation, Misinformation
The threat from disinformation, misinformation to common values
Supporting facts:
- Common values are under attack from disinformation and misinformation
- Media trust is decreasing
Topics: Disinformation, Misinformation, Media trust, Democracy, Freedom, Rule of Law
Data issue is not just an economic issue but also important for society
Supporting facts:
- Data issue affects common values like democracy, freedom, rule of law
- Data issue also has implications for economy
Topics: Data issue, Society, Economy
Report
The prevailing theme emerging from the analysis underscores the paramount importance of data governance and its reliability in a rapidly advancing data-driven economy. New technologies are intrinsically dependent on large data sets for their evolution and effective implementation. The credibility and reliability of this data has become a significant concern, given the challenges surrounding the fragmented data landscape, coupled with varying beliefs about privacy and security globally.
Currently, the global data landscape is fragmented with diverse perspectives on data security and privacy. This fragmentation instigates difficulties and interruptions in the smooth flow of data, which is problematic for the increasingly interconnected global economy and even more so given the urgent need for cross-border data transfer.
This disruption can impede numerous multinational sectors, particularly those falling under SDG 9 (Industry, Innovation and Infrastructure) and SDG 17 (Partnerships for the Goals). To address these challenges, the Data Free Flow with Trust (DFFT) concept is posited, winning collective support from the G7 and G20 nations.
This concept endorses enhanced interoperability of data-related regulations. Within the realms of DFFT, a key discussion point is data reliability and accuracy, imperative to trustworthy and efficient data management. The significance of reliable data extends to the domain of tackling carbon climate change.
Given the global reach of supply chains, accurate and reliable data is instrumental in managing the carbon footprint throughout these chains, which aligns with SDG 13 (Climate Action). As these chains span beyond national borders, ensuring the unimpeded flow of international data is necessary.
The summary also highlights the pressing need for cross-sector collaboration for robust data governance. Current data discussion forums have had a fragmented impact, limited to being ad hoc and sector-specific, underpinning the need for a permanent and international mechanism fostering cross-border data consultations.
The pivotal role of data was further epitomised in the global efforts to combat the COVID-19 pandemic. The analysis illustrates how data was harnessed to understand the virus thoroughly, drive vaccine development, and manage vaccination administration. Naturally, this importance raises concerns about the sensitivity of health-related data, necessitating careful handling.
In anticipation of potential future pandemics, disaster preparedness strategies must incorporate data and technology use. Here, federated learning AI technologies could prove beneficial by training AI for diagnosis and prescription without the need to centrally accumulate personal health data. Prominently, the value of convening diverse stakeholders, including policymakers, engineers, academics, and the private sector, is recognised for a multi-disciplinary dialogue on the latest technological advancements and possibilities.
Likewise, the proposal of establishing a permanent international forum for data policy dialogue has met broad acceptance, including from the G7 nations. This forum would likely play a crucial role in navigating the fragmented territory of data laws and regulations worldwide.
Concerns about the wider societal implications of data misuse were evident, particularly around the proliferation of disinformation and misinformation. The issue is codified as one that challenges not only technology, but also one that jeopardises common societal values like democracy, freedom, and the rule of law.
Therefore, while the necessity of technological countermeasures to disinformation is acknowledged, the broader importance of data is emphasised as a matter integral to society at large, not confined to the economic sphere. In conclusion, the significance of robust data governance is an immediate priority for our data-dependent future.
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