The RD4C Principles
Principles to guide responsible data handling toward saving children’s lives, defending their rights, and helping them fulfill their potential from early childhood through adolescence.
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Why Data for and about Children Needs Attention at the World Data Forum: The Vital Role of PartnershipsThis piece was originally posted on the blog site of the United Nations World Data Forum. Read the original piece by Stefaan Verhulst (The GovLab), Eugenia Olliaro (UNICEF), Danzhen You (UNICEF), Estrella Lajom (UNICEF) and Daniel Shephard (NORRAG) here. Issues surrounding children and data are rarely given the thoughtful and dedicated attention they deserve. An increasingly large amount of data is being collected about children, often without a framework to determine whether those data are used responsibly. At the same time, even as the volume of data increases, there remain substantial areas of missing data when it comes to children. This is especially true for children on the move and those who have been marginalized by conflict, displacement, or environmental disasters. There is also a risk that patterns of data collection mirror existing forms of exclusion, thereby perpetuating inequalities that exist along, for example, dimensions of indigeneity and gender. This year’s World Data Forum, to be held in Hangzhou, China, offers an opportunity to unpack these challenges and consider solutions, such as through new forms of partnerships. The Responsible Data for Children (RD4C) initiative offers one important model for such a partnership. Formed between The GovLab and UNICEF, the initiative seeks to produce guidance, tools, and leadership to support the responsible handling of data for and about children across the globe. It addresses the unique vulnerabilities that face children, identifying shortcomings in the existing data ecology and pointing toward some possible solutions. The issues considered by RD4C are vital for data practitioners, and embody the conference’s theme of supporting innovation and partnership for better and more inclusive data. The initiative’s core principles, developed through field visits and rigorous desk research, emphasize the need for organizations to be participatory, engaging and informing those affected by data use, as well as people-centric, thereby ensuring the needs and rights of children, their caregivers, and their communities are prioritized by those handling data. RD4C also embodies the Summit’s call for building trust and ethics in data, urging organizations to be professionally accountable, prevent harm across the data lifecycle, and work to protect children’s rights. Through these principles, RD4C highlights and supports best practices around the world, develops tools to help practitioners operate ethically, and enables the use of data effectively in a manner that acknowledges the rights and responsibilities of all stakeholders within a data system. The International Data Alliance for Children on the Move (IDAC), launched in 2020, offers another key model for partnership and innovation. It seeks to address the urgent data needs of one of the world’s most vulnerable groups of children – those who have migrated or been displaced. Worldwide, there exist an estimated 35.5 million international migrant children and 36.5 million children who have been displaced by conflict and violence. Many face severe risks and deprivation, yet are commonly missed in data collection efforts, and remain all but absent in social statistics. Reasons for these shortcomings include a lack of political will, a shortage of technical capacity and human and financial resources, and a failure of coordination across the national statistical system. Through its cross-sectoral membership – representing UN agencies and other international organizations, NGOs, think tanks, academic experts, and member states – IDAC acts as a voice for these children. Guided by its joint Secretariat (UNICEF, IOM, UNHCR, OECD and Eurostat), IDAC provides a platform to gather all concerned stakeholders to discuss challenges and to co-create tools and public goods aimed at strengthening foundational data and social statistics on migrant and displaced populations. The initiative is driven by a conviction that the surest way to leave no child behind is through collective innovative data solutions, forged collaboratively among all stakeholders. NORRAG’s Missing Data Project was launched in 2021 to bring academics, policymakers, and practitioners together to discuss the gaps in the global education system that risk hampering progress towards achieving the Sustainable Development Goals related to education. The project has identified gaps in terms of uses of data, types of data, and groups of people. Across these missing uses, types, and groups of education data – two gaps were highlighted related to gender and indigeneity. Two partnerships provide examples of how to begin addressing these persistent gaps that continue to affect children globally. Partnerships are key to addressing these two education data gaps that are rooted in historical repression. Such partnerships should be led by affected communities themselves and engage stakeholders at all levels of the education system to address persistent gaps in data collection, use, and governance. For data on gender and education, the Accountability for Gender Equality in Education (AGEE) project is developing an innovative indicator framework for gender equality in education through a series of critical participatory discussions with youth advocacy groups, civil society organizations, academia, and government entities. These discussions have provided insight into what constitutes gender inequality in education in different contexts and what data should be prioritized. The AGEE project is led by a partnership between University College London’s Institute of Education, University of Kwazulu-Natal, University of Malawi, and the University of East Anglia. For data on education and indigenous peoples, Indigenous Peoples from multiple countries collectively developed the Collective Benefit, Authority to Control, Responsibility, and Ethics (CARE) principles for good Indigenous Data Governance in 2019. Indigenous Data Governance and Sovereignty are foundational for addressing persistent gaps in education data for Indigenous Peoples. The enactment of such principles by indigenous leadership provides a path forward to ensure that data for the education of Indigenous children represents their worldviews, priorities, values, and cultures. In conclusion, the importance of utilizing data for and about children responsibly cannot be overstated, and the World Data Forum plays a critical role in promoting this objective. Our session focused on “Data and Children: gaps, opportunities, and responsibilities (TA1.32, Tuesday, 25 April 2023 at 15.00) seeks to review progress made and focus on the crucial role partnerships play in enhancing the quality, availability, and use of data related to children. Such partnerships are essential for ensuring data is leveraged to address the complex challenges that children face, from poverty and malnutrition to lack of access to education and healthcare in a responsible and systematic way. Ultimately, the success of efforts to improve the lives of children worldwide hinges on the continued attention and investment in data-driven solutions, and events like the WDF are instrumental in advancing this crucial work.
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RD4C Commemorates International Data Privacy DayThis piece was originally publushed on The GovLab's Data Stewards Network. Data Privacy Day is an international event celebrated every 28 January to “create awareness about the importance of respecting privacy, safeguarding data, and enabling trust.” Through it, we are reminded just how valuable our data is and the obligation that organizations have to handle it responsibly, ethically, and in accordance with individuals’ rights. The GovLab (one of the partners operating RD4C with UNICEF) has published countless pieces on data privacy and how it is an essential component of data responsibility. To support the conversations happening around the world about this issue, we would like to highlight several publications that we consider especially relevant: Reports: The #Data4COVID19 Review: Assessing the Use of Non-Traditional Data During a Pandemic Crisis: This report, produced with the support of The Knight Foundation, describes the use of non-traditional data from private sources during the COVID-19 pandemic. The piece seeks to unpack some of the challenges around this data, which can include sensitive information, and some of the ways that organizations can mitigate those risks and bolster public trust in their work. New Brief Released: What Is Mobility Data? Where Is It Used?: This brief—which accompanied the release of the report “The Use of Mobility Data for Responding to the COVID-19 Pandemic” by The GovLab, Cuebiq, and the Open Data Institute—briefly explains the different types of mobility data and the data privacy implications of them. The goal is to help policymakers better use mobility data while addressing arguments that they could facilitate surveillance. Blogs: Selected Readings on Data Governance: This second piece from our Selected Readings series builds on the knowledge base on improving data governance. While focused on effectiveness and legitimacy, it includes several pieces that explain how approaches that mitigate privacy risks can improve projects and bolster opinion of them. Selected Readings on Personal Data: Security and Use: This piece of our Selected Readings series provides an annotated and curated collection of pieces on personal data. It provides several articles that explain how organizations can promote privacy by design, describe the factors involved in the governance of online personal data, and offer recommendations for data (re)use. The GovLab Index: Privacy and Security: This blog is a series of statistics on privacy and security. It describes public attitudes toward their privacy rights in the United States and globally as well as the kinds of privacy-related behaviors people engage in. Digital Self-Determination Studio Series: In collaboration with the Big Data for Migration Alliance and the International Digital Self Determination (DSD) Network, The GovLab hosted a studio series aimed to unpack what the concept of DSD could mean for migrants and principles for their implementation–emphasizing privacy and personal data protections. Essays, Papers, and Articles: Reimagining data responsibility: 10 new approaches toward a culture of trust in re-using data to address critical public needs: This article by Stefaan Verhulst in Data & Policy looks at the risk around data science and explores ways to address problems such as data privacy. It outlines 10 approaches and innovations for data responsibility in the 21st century, including end-to-end data responsibility; decision provenance; professionalized data stewardship; and group privacy. Corporate Social Responsibility for a Data Age: Published in the Stanford Social Innovation Review, this piece by Stefaan Verhulst argues that data can help improve and safe lives but that harnessing it requires a transformation in how companies, governments, and other organizations operate. It emphasizes the importance of robust data protection, citing several prominent cases of data misuse. Operationalizing Digital Self Determination: In this article, Stefaan argues that data, when used responsibly, can offer new opportunities for the public good. However, this potential is limited by data asymmetries, information, and agency asymmetries that limit human potential. As one solution to rebalancing asymmetries that Stefaan provides is to look at alternative consent mechanisms, including those based around “post-consent privacy." How I Learned to Stop Worrying and Love the GDPR: This guest piece by Ariane Adam in the Data Stewards Network describes the impact of the European Union’s GDPR regulation on open data. Despite concerns that the legislation would prevent the release of data in the name of privacy, the author argues that GDPR “can not only assist in promoting consumer confidence and therefore business growth, but also enable organisations to safely open and share important and valuable datasets. Tools: Data Responsibility Journey: The Data Responsibility Journey for Data Collaboratives is an assessment tool that outlines the opportunities and risks to consider at each stage of the data lifecycle when implementing a data collaborative. It describes several ways that organizations can promote the data rights and data privacy of data subjects. Responsible Data for Children Principles: These principles, produced as part of The GovLab’s collaboration with UNICEF, describe the ways in which governments, communities, and development actors can put child rights at the center of their data activities. The principles of “Prevention of Harms Across the Data Lifecycle” and Protective of Children’s Rights” remind organizations of the unique vulnerabilities around data about children. “Professionally Accountable” reinforces the need to provide mechanisms for redress should violations occur. More information on privacy challenges can be found in RD4C’s tools and case studies. *** These pieces are only a segment of our work overall on data ethics and data responsibility. As we go about encouraging organizations to prioritize data responsibility and data rights in line with the Third Wave of Open Data, we encourage you to follow us at the Data Stewards Network and Open Data Policy Lab.
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Responsible Data for Children Initiative Releases Report on Responsible Handling of Refugee Children Data in UgandaThis September, the Responsible Data for Children (RD4C) initiative traveled to Uganda for its first-ever studio series to promote the responsible handling of data for and about children. Supported by UNHCR and UNICEF’s Blueprint for Joint Action, itself a commitment to accelerate efforts in line with the Global Compact on Refugees, the studios brought together national and community leaders and others to diagnose data challenges affecting the management of mental health and psychosocial services in refugee settlements in Uganda and develop new solutions to more responsibly and effectively manage data. After posting several shorter reflections on this work on its blog site, RD4C is excited today to announce the release of a full report of its activities. “Responsible Data for Refugee Children in Uganda: Improving Data Systems for Mental Health and Psychosocial Services Through A Studio Series” provides an overview of RD4C’s work over the course of a week, major reflections on the state of data responsibility in Uganda, and recommendations co-developed with UNICEF and UNHCR in Uganda, government officials, community representatives, and refugees themselves. Overview of Events The report begins with several sections: an introduction; an overview of the context in Uganda; an explanation of the field research. These parts of the report provide an explanation of the Responsible Data for Children initiative and the reason for the studio series. With over 1.5 million refugees —over half of which are children—Uganda is the third-largest refugee-hosting country in the world and the largest refugee hosting country in Africa. Many of these refugees report experiencing psychological distress and face challenges in accessing Mental Health and Psycho-Social Support (MHPSS), especially as a result of the COVID-19 pandemic which has exacerbated the need for MHPSS amongst refugees and host communities. Responding to these circumstances and a long-standing commitment by the Government of Uganda and UNICEF and UNHCR in Uganda to improve mental health and psychosocial services for refugee children in the country, RD4C hosted a series of workshops and focus groups. RD4C structured these engagements—held with national leaders, service providers, adolescent refugees, and others—as conversations around the Data Lifecycle. An abstraction that explains the opportunities and challenges in how data is translated from insight into action, the lifecycle includes several parts: Planning: Defining specific objectives of a data activity; Collection: Gathering data directly from the field or collating it; Processing: Removing irrelevant or inaccurate information; Sharing: Exchanging data and other information with relevant collaborators; Analyzing: Assessing the data to extract insights; Using: Acting on the insights derived. Figure: The Stages of the Data Lifecycle The studios also made use of the Responsible Data for Children Principles as a guide for the discussion. Speaking on the value of being Participatory, Professionally Accountable, People-Centric, Preventative of Harms, Proportional, Protective of Children’s Rights, and Purpose-Driven, RD4C encouraged participants to think critically and creatively about the challenges they face and ways to address them. Findings UNICEF and UNHCR staff go through participant's inputs on the data lifecycle Through discussions facilitated in Kampala, Isingiro, and the Nakivale Refugee Settlement, the participants were able to identify major needs at each stage of the data lifecycle. These needs ranged from challenges in planning—including the need for coordination and cohesion at the national and district level—and collection—including a desire to make use of a unique identifier for each child. Participants spoke about the need for a common taxonomy and common tools during discussions on processing and the importance of exploratory and descriptive analysis in the analysis phase. In all, the discussions surface 17 major findings about data’s use to address mental health and psychosocial services in Uganda’s refugee settlements. RD4C and UNICEF and UNHCR Uganda discussed these points and validated the issues raised. Together, the partners sought to identify three of these findings to further pursue over the next 3–6 months. Solutions and Recommendations On Friday, 23 September, RD4C and its partners, UNICEF and UNHCR, hosted its final workshop focused on ideating solutions to the most pressing challenges identified in the previous studios, interviews, and community focus groups. After some internal deliberation and validating the decision with the studio participants, the partners identified the following three priorities as being the most important and feasible to address: The Need for a Taxonomy for MHPSS Data: How can data be more consistently categorized, collected, analyzed, stored and used, particularly one that distinguishes mental health from psychosocial wellbeing in a useful fashion? The Value of a Data Catalog and Directory: How can MHPSS service providers datasets be accessed, used or reused more responsibly as per the principles of responsible data for children and requirements around personal data protection? Responsible Data Governance: How can data be more responsibly managed to promote the rights and welfare of child refugees? Through structured brainstorming, studio participants identified several ways to address these needs that made use of existing resources and capacities. For achieving a taxonomy, for example, participants focused on engaging the existing MHPSS working group to coordinate service provider organizations. For creating a data catalog, the discussion focused on using an ongoing process by the Ministry of Gender Labour & Social Development to conduct a comprehensive data needs assessment. For data governance, meanwhile, participants thought an expert group composed of existing practitioners could help identify best practices. *** More information on each of these elements can be found in the report, available here. We will be checking in with our colleagues in Uganda in several months to see how the results of this work have been deployed and what progress has been made. In the meanwhile, we encourage anyone interested in this work to contact us at [email protected].
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Responsible Data for Children Releases Slides for Self-Guided TrainingThe Responsible Data for Children (RD4C) initiative—a collaboration between The GovLab and UNICEF to promote the more responsible handling of data for and about children—has spent much of 2022 developing ways to socialize and operationalize the principles that put the best interests of children and a child rights approach at the center of our data activities.. From publishing new case studies that provide detail on what a responsible data approach looks like in action to supporting UNICEF and UNHCR country offices in helping them implement a responsible data for children approach to their operations to expanding its offerings in different languages, we’ve sought to help organizations understand what responsible data for children means and how they can realize it in their day-to-day operations. Today, RD4C is continuing this work with self-guided training. Based on the tutorials offered to UNICEF staff in early 2022, these slides are a resource for organizations seeking to understand ways to operationalize the RD4C principles and implement the RD4C tools. It dives into each principle—Participatory; Professionally Accountable; People-Centric; Preventative of Harms Across the Data Lifecycle; Proportional; Protective of Children’s Rights; and Purpose-Driven. It provides real-life examples from the field about how they can be realized in practice as well as explanations of how different tools can help organizations in this goal. It closes with a handful of discussion questions that can be used by organizations to think about these issues. Organizations interested in sharing their experience with these slides can contact the RD4C at [email protected]. For those of you who would like to view the tutorials, a recording is now available on our YouTube page.
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About us
The RD4C initiative is a joint endeavor between UNICEF and The GovLab at New York University to highlight and support best practice in our work; identify challenges and develop practical tools to assist practitioners in evaluating and addressing them; and encourage a broader discussion on actionable principles, insights, and approaches for responsible data management.
The work is intended to address practical considerations across the data lifecycle, including routine data collection and one-off data collections; and compliments work on related topics being addressed by the development community such as guidance on specific data systems and technologies, technical standardization, and digital engagement strategies.
Additional tools and materials are coming soon and will be posted on this website as they become available. Join the conversation to receive regular updates.