为了共同利益的数据协作：通过公私合作实现信任和创新

Insight ReportData Collaboration for the Common GoodEnabling Trust and Innovation Through Public-Private PartnershipsApril 2019Produced in Collaboration with McKinsey & Company World Economic Forum91-93 route de la CapiteCH-1223 Cologny/GenevaSwitzerlandTel.: +41 (0)22 869 1212Fax: +41 (0)22 786 2744Email: contact@weforum.orgwww.weforum.orgCreative Commons LicenseThis work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.© 2019 World Economic Forum. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, including photocopying and recording, or by any information storage and retrieval system. 3Data Collaboration for the Common Good: Enabling Trust and Innovation Through Public-Private PartnershipsLetter from the ForumLetter from the CommunityExecutive summarySection 1: Understanding the landscapeStrengthening trust to achieve impactSection 2: Establishing a new lens1. Stakeholder alignment2. Responsible data governance3. Insight generation and validation4. Insight adoption5. Economic sustainability and scalabilitySection 3: Catalysing impactAppendix: Fit-for-purpose technology archetypesAcknowledgementsEndnotes5678912121416192124262830Contents 4Data Collaboration for the Common Good: Enabling Trust and Innovation Through Public-Private Partnerships 5Data Collaboration for the Common Good: Enabling Trust and Innovation Through Public-Private PartnershipsLetter from the ForumAs we look at the diversity across the many stakeholders of the Fourth Industrial Revolution, three core and interdependent concepts about what we want our future digital environment to look like emerge. Our digital future must be inclusive, trustworthy and sustainable. The following report looks at the manner in which private-sector data can be used, in combination with public-sector data, for this vision of a shared digital future. It provides a new lens to better understand how we can balance the need to maximize the power of data to deliver transformative change while at the same time protecting against emerging risks that could cause irreversible harms to vulnerable populations. As the report demonstrates, there is now abundant evidence that public-private data collaboration can deliver a measurable impact. The results can be seen in faster decision-making during natural disasters and disease outbreaks, better insights on addressing the complex challenges related to poverty, health and employment and more precise indicators to measure the achievement of the Sustainable Development Goals (SDGs). Yet with this encouraging progress is a troubling deficit of trust. Sadly, the trust among and between individuals, institutions and industry is at a low ebb. This systemic lack of trust threatens to derail the innovative possibilities of using private sector data for the common good. While there are material concerns related to the technical and operational dimensions of public-private data collaboration, strengthening trust across the entire data collaborative life cycle is the top priority to catalyse meaningful progress. This is a challenge of maintaining balance between competing concerns. While the importance of protecting against the risks of data misuse cannot be overstated and is very much at the centre of the public debate right now, the avoidable harms that result from the non-use of data also need to be accounted for in the cost-benefit analysis. The cost of poor decision-making due to insufficient and inaccurate data can result in the loss of human life and property. We hope you enjoy reading this report and find the tools and approaches it advances to be both pragmatic and valuable.Derek O’Halloran, Head, Future of Digital Economy and Society, Member of the Executive Committee, World Economic ForumAnne Toth, Head of Data Policy, World Economic Forum 6Data Collaboration for the Common Good: Enabling Trust and Innovation Through Public-Private PartnershipsLetter from the CommunityArtificial intelligence (AI), machine learning, and blockchain – these are just a few of the technologic advances that have transformed how we collect and analyse data over the past few years. In the private sector, corporations have quickly incorporated these innovations into their daily work and even embarked on data collaborations with other companies. By combining diverse datasets and by sharing data insights, each entity gains access to information that complements or adds to its own research. With better source material, the resulting insights about markets, customers and competitive strategies become even more powerful.But corporations are not just gaining a commercial edge through their collaborations – they’re also supporting the common good. Already, businesses across sectors have entered collaborations aimed at improving disaster relief, driving economic development in emerging markets and increasing public health. While these partnerships have deliver