INSTITUTIONS AND GOVERNANCE FOR FSN DATA COLLECTION, ANALYSIS, AND USE 82 Issues of relevance for data governance 84 The debate on the nature of data and the role of data markets 84 The questions of data ownership and the social value of data 86 CONTENTS Priority objectives for FSN data-governance initiatives 90 Achieving adherence to global standards and harmonization of data 90 Promoting broader. [...] ACKNOWLEDGMENTS The CFS HLPE-FSN warmly thanks all the The HLPE-FSN also acknowledges Ms Dianne participants who contributed with very Berest for the very careful editing of the English valuable inputs and comments to the two version and provision of excellent and useful open consultations, first on the scope of the comments, and the translators into the other five report, and second on its advanc. [...] • The complexity of the system of public and private actors and institutions involved in food security and nutrition data, coupled with the rapidly changing characteristics of today’s data ecosystems due to the digital revolution and the pervasiveness of the internet, brings to centre stage the need for global coordination to improve data governance. [...] and consolidation, or collection, of primary or secondary data and the curation of the data; the Both existing data and newly collected data, be analysis of the data, using appropriate analysis they quantitative or qualitative, will likely need tools; the translation of data into results, insights to be transformed (at a minimum, cleaned) and conclusions; the dissemination of the data and analysed. [...] The second for agriculture and food production, climate objective is to draw from this overview a list of and the global environment, the extent of gaps and challenges at each step of the data integration and functioning of international DATA COLLECTION AND ANALYSIS TOOLS FOR FOOD SECURITY AND NUTRITION food commodity markets.
Authors
High Level Panel of Experts on Food Security and Nutrition (HLPE-FSN)
Related Organizations
- Pages
- 156
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- Italy
Table of Contents
- Cover page 1
- Copyright 2
- Disclaimer 3
- HLPE Reports series 4
- Table of contents 5
- List of tables 8
- Table 1: FAIR data principles 111
- Annex Table 1: Examples of existing FSN data-related initiatives (including databases, repositories, data systems and analysis tools), organized by dimension of food security and nutrition 145
- Annex Table 2: Summary of risks, associated digital technologies, key stakeholders and risk mitigation measures 146
- Annex Table 3: List of countries grouped by date of last agricultural census on record* 150
- Annex Table 4: Care principles for indigenous data governance 153
- List of figures 8
- Figure 1: Framework for a systemic view of fsn to guide data collection and analysis 30
- Figure 2: Data-informed decision-making cycle 32
- Figure 3: How to structure a data-informed, decision-making process matrix 35
- Figure 4: Example of how to use the conceptual framework (theoretical guidance) and data-informed decision-making cycle (methodological guidance) for FSN 39
- List of boxes 9
- Box 1: FAO statistical system 42
- Box 2: The Agricultural Market Information System (AMIS) 43
- Box 3: Improving the analysis of fish data 45
- Box 4: GIEWS and other information systems 46
- Box 5: FAO's Hand-in-hand initiative 47
- Box 6: The 50 × 2030 Initiative to close the agricultural data gap 48
- Box 7: FAO's approach to mapping territorial markets 49
- Box 8: Data collection in conflict settings 51
- Box 9: FSN and the SDG monitoring frameword 53
- Box 10: Countdown to 2030 55
- Box 11: Global open data for agriculture and nutrition (GODAN) 56
- Box 12: An example of affordable, global data management platform: REDCap 58
- Box 13: The integrated food security phase classification (IPC) initiative 60
- Box 14: Exemplars in global health 61
- Box 15: The food system dashboard 62
- Box 16: The POSHAN Network 63
- Box 17: The high cost of FSN-relevant surveys 67
- Box 18: The complexity of nutrition assessments 69
- Box 19: On food safety data 69
- Box 20: The women empowerment in agriculture index 70
- Box 21: Satellite technologies for improved drought assessment (SATIDA) 70
- Box 22: Opportunities and risks in the use of automated data analysis 72
- Box 23: A critical view of FAO statistical support to Member Nations 75
- Box 24: SATIDA COLLECT 77
- Box 25: Tackling constraints in food composition data availability and quality 77
- Box 26: Definitions of new and emerging digital technologies 80
- Box 27: Examples of efforts that support data consolidation 84
- Box 28: Examples of the application of blockchain technology to FSN data 86
- Box 29: Challenges with digitalizing services and access: the case of India’s Aadhaar identification number 93
- Box 30: Personal data protection and the right to privacy 104
- Box 31: The EAF-Nansen Programme 113
- Box 32: Nepal's nutrition-sensitive livestock introduction programme 113
- Box 33: The Global agriculture and food security programme (GAFSP) 114
- Foreword 11
- Acknowledgments 13
- Abbreviations and acronyms 14
- Key messages 16
- Introduction 17
- Chapter 1. Setting the stage 24
- Defining key terms 25
- Data 25
- Analysis tools 26
- Data governance 28
- Conceptual framework 28
- Figure 1: Framework for a systemic view of fsn to guide data collection and analysis 30
- Data-informed decision-making cycle 32
- Figure 2: Data-informed decision-making cycle 32
- Using the conceptual framework and the data-informed decision-making cycle to address issues relevant for FSN 34
- Figure 3: How to structure a data-informed, decision-making process matrix 35
- Example 1: How to increase population-level fruit and vegetable (FV) consumption based on local FV supply chains? 37
- Figure 4: Example of how to use the conceptual framework (theoretical guidance) and data-informed decision-making cycle (methodological guidance) for FSN 39
- Chapter 2: A review of existing FSN data collection and analysis initiatives 40
- Illustrative overview of existing FSN data 41
- FSN data and information systems relevant at the distal (macro) level 41
- Box 1: FAO statistical system 42
- Box 2: The Agricultural Market Information System (AMIS) 43
- FSN data and information systems at the proximal (meso) level 44
- Box 3: Improving the analysis of fish data 45
- Box 4: GIEWS and other information systems 46
- Box 5: FAO's Hand-in-hand initiative 47
- Box 6: The 50 × 2030 Initiative to close the agricultural data gap 48
- FSN data and information systems at the immediate (micro) level 48
- Box 7: FAO's approach to mapping territorial markets 49
- Box 8: Data collection in conflict settings 51
- Challenges and opportunities for FSN data-informed decision making 52
- Challenges and opportunities for FSN data-informed decision making 52
- Box 9: FSN and the SDG monitoring frameword 53
- Set priorities for data 54
- Box 10: Countdown to 2030 55
- Gather, curate and disseminate date 56
- Box 11: Global open data for agriculture and nutrition (GODAN) 56
- Data analysis 56
- Poorly conceived or inappropriate measures, indicators or scales 56
- Inadequate data-collection designs 57
- Box 12: An example of affordable, global data management platform: REDCap 58
- Lack of harmonization and poor data quality 59
- Timeliness 59
- Box 13: The integrated food security phase classification (IPC) initiative 60
- Data protection 60
- Heavy reliance on quantitative data 60
- Box 14: Exemplars in global health 61
- Translate data and use for decision-making 61
- Box 15: The food system dashboard 62
- Using data for decision-making requires buyinand involvement on the part of those with theresponsibility to make decisions, and clarity onthe decisions to be made 62
- Box 16: The POSHAN Network 63
- Chapter 3. Constraints, bottlenecks (and some solutions) for effective use of FSN data 64
- Insufficient resources for data collection and analysis 65
- Financial constraints 66
- Box 17: The high cost of FSN-relevant surveys 67
- Inadequate research infrastructure 67
- Box 18: The complexity of nutrition assessments 69
- Box 19: On food safety data 69
- Box 20: The women empowerment in agriculture index 70
- Box 21: Satellite technologies for improved drought assessment (SATIDA) 70
- Human-resource constraints 70
- Constraints related to data collection 70
- Constraints related to the lack of data processing, analytical and dissemination capabilities 71
- Box 22: Opportunities and risks in the use of automated data analysis 72
- Inadequate institutional arrangement and data governance 73
- Constraints that limit stakeholder engagement 73
- Constraints related to the lack of coordination among agencies 74
- Box 23: A critical view of FAO statistical support to Member Nations 75
- Constraints that create a lack of transparency and of appropriate regulatory frameworks 76
- Box 24: SATIDA COLLECT 77
- Box 25: Tackling constraints in food composition data availability and quality 77
- Chapter 4. New and emerging digital technologies for FSN data 78
- Landscape and relevance of new and emerging digital technologies to FSN 79
- Landscape and relevance of new and emerging digital technologies to FSN 79
- Box 26: Definitions of new and emerging digital technologies 80
- Define/refine evidence priorities and questions 81
- Review, consolidate, collect and curate data 82
- Box 27: Examples of efforts that support data consolidation 84
- Box 28: Examples of the application of blockchain technology to FSN data 86
- Translate data into results, insights and conclusions 88
- Disseminate, share, review, discuss results, refine insights and conclusions* 88
- Use results, insights and conclusions to make decisions 89
- Risks associated with digital technologies for FSN and their mitigation 91
- Ethics, data protection, trust, justice and identity 91
- Box 29: Challenges with digitalizing services and access: the case of India’s Aadhaar identification number 93
- Quality of data 95
- Interoperability of data 96
- Capacity, equity, scalability and sustainability 96
- Chapter 5. Institutions and governance for FSN data collection, analysis, and use 98
- Issues of relevance for data governance 100
- The debate on the nature of data and the role of data markets 100
- The questions of data ownership and the social value of data 102
- Box 30: Personal data protection and the right to privacy 104
- Priority objectives for FSN data-governance initiatives 106
- Achieving adherence to global standards and harmonization of data 106
- Ensuring adequate mechanisms are in place to protect individual and collective rights 108
- Relevant recent initiatives on data governance for FSN 110
- World Bank open data 110
- Open science initiatives and the FAIR and CARE data principles 110
- Table 1: FAIR data principles 111
- Global strategy to improve agricultural and rural statistics 112
- Initiatives in stakeholder collaboration 112
- Box 31: The EAF-Nansen Programme 113
- Box 32: Nepal's nutrition-sensitive livestock introduction programme 113
- Box 33: The Global agriculture and food security programme (GAFSP) 114
- Greater attention to data quality issues 114
- Challenges to data governance from data-driven technologies 114
- Solutions to enhance FSN data governance 115
- Streamlining transnational and national data governance for FSN 115
- Inclusive approach to data governance 115
- Increasing transparency and governance of official statistics for FSN 115
- Partnership agreements to manage and share digital data 116
- Chapter 6. Final reflections and recommendations 117
- Create greater demand for data for decision-making among governments, policymakers and donors 119
- Optimize and, if needed, repurpose current data-related investments, while increasing collaboration between international organizations, governments, civil society, academia and the private sector, to harmonize and maximize the sharing of existing FSN data 120
- Invest in human capital and in the needed infrastructures to ensure the sustainability of data processing and analytic capacity 122
- Improve data governance at all levels, promoting inclusiveness to recognize and enhance agency among data users and data generators 123
- References 125
- Glossary 140
- Annexes 145
- Annex Table 1: Examples of existing FSN data-related initiatives (including databases, repositories, data systems and analysis tools), organized by dimension of food security and nutrition 145
- Annex Table 2: Summary of risks, associated digital technologies, key stakeholders and risk mitigation measures 146
- Annex Table 3: List of countries grouped by date of last agricultural census on record* 150
- Annex Table 4: Care principles for indigenous data governance 153
- Blurb 156
