Data Responsibility Journey - Homepage

Planning

32 considerations

In the planning stage, the project’s intended and expected value are identified. Goals and evaluation metrics are defined. Partners are identified and vetted. An adaptable plan is created to govern implementation of the data collaborative.

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Collecting

28 considerations

In the collecting stage, data is collected and verified according to needs of the data collaborative while protecting data subject privacy and adhering to regulations.

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Processing

16 considerations

In the processing stage, data is stored, accessed, aggregated, and taxonomized for analysis and use according to the needs of the data collaborative.

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Sharing

8 considerations

In the sharing stage, operational aspects between partners are coordinated, trust is established and maintained, third parties are engaged if necessary, and data and/or knowledge is transferred.

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Analyzing

20 considerations

In the analyzing stage, exploratory and targeted data analyses are conducted, algorithms are applied, and quantitative results are developed.

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Using

15 considerations

In the using stage, findings are framed and released to the public, actionable recommendations are developed, plans are implemented to retain or destroy data, and data collaborative performance is reflected upon.

Start using

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[{"title":"The Case for Accountability: How It Enables Effective Data Protection and Trust in the Digital Society.","description":"A discussion paper on ensuring accountability in data projects from the Centre for Information Policy Leadership.","link":"http://www.informationpolicycentre.com/uploads/5/7/1/0/57104281/cipl_accountability_paper_1_-_the_case_for_accountability_-_how_it_enables_effective_data_protection_and_trust_in_the_digital_society.pdf","tags":["Accountability"]},{"title":"UK Information Commissioner’s Office (ICO). Accountability Framework","description":"An accountability framework and self-assessment tool from the United Kingdom's Information Commissioner's Office.","link":"https://ico.org.uk/for-organisations/accountability-framework/","tags":["Accountability"]},{"title":"AI for social good: unlocking the opportunity for positive impact","description":"A piece in Nature Communications by Nenad Tomašev, et al providing guidance on AI can provide public value while mitigating risks.","link":"http://thegovlab.org/wordpress/wp-content/uploads/2020/04/WORKING-DRAFT-4.20-C4DC-Questions-to-Consider.pdf","tags":["AI"]},{"title":"Artificial Intelligence in International Development: Avoiding Ethical Pitfalls","description":"A paper in the Journal of Public & International Affairs identifying examining ethical risks involved in the use of AI to achieve development objectives.","link":"http://thegovlab.org/wordpress/wp-content/uploads/2020/04/WORKING-DRAFT-4.20-C4DC-Questions-to-Consider.pdf","tags":["AI"]},{"title":"Code-Dependent: Pros and Cons of the Algorithm Age","description":"A Pew Research Center report synthesizing input from experts on opportunities and challenges in the use of algorithms and AI.","link":"https://www.pewresearch.org/internet/2017/02/08/code-dependent-pros-and-cons-of-the-algorithm-age/","tags":["AI"]},{"title":"Examining the Black Box: Tools for Assessing Algorithmic Systems","description":"Guidance from the Ada Lovelace Institute and DataKind UK to support assessments of algorithmic systems likely societal impact and compliance with regulations and norms.","link":"https://www.adalovelaceinstitute.org/examining-the-black-box-tools-for-assessing-algorithmic-systems/","tags":["AI"]},{"title":"Principles for Digital Development","description":"A set of nine guidelines to inform the responsible implementation of technology for development.","link":"https://digitalprinciples.org/principles/","tags":["Appropriateness"]},{"title":"Data Privacy, Ethics and Protection: Guidance Note on Big Data for Achievement of the 2030 Agenda","description":"Guidance on data protection, privacy and ethics from the United Nations Sustainable Development Group.","link":"https://unsdg.un.org/resources/data-privacy-ethics-and-protection-guidance-note-big-data-achievement-2030-agenda","tags":["Appropriateness"]},{"title":"Considerations for Using Data Responsibly at USAID","description":"Guidance for responsible data use in development contexts, touching on issues such as legal and policy issues, informed consent, and handling of sensitive information.","link":"https://unsdg.un.org/resources/data-privacy-ethics-and-protection-guidance-note-big-data-achievement-2030-agenda","tags":["Appropriateness","Retention","Legal","Quality"]},{"title":"UK Centre for Data Ethics and Innovation Interim Report: Review into bias in algorithmic decision-making","description":"Guidance from the UK CEDI regarding the identification and mitigation of bias in algorithmic systems","link":"https://www.gov.uk/government/publications/interim-reports-from-the-centre-for-data-ethics-and-innovation/interim-report-review-into-bias-in-algorithmic-decision-making","tags":["Appropriateness","AI"]},{"title":"Responsible Data Management Training Pack","description":"A principle-based set of tools and guides for responsible data handling, especially for humanitarian actors","link":"https://policy-practice.oxfam.org.uk/publications/responsible-data-management-training-pack-620235","tags":["Capacity"]},{"title":"Data Protection Starter Kit","description":"An collection of data protection tutorials and tools (including a Data Protection Auto-Evaluation Tool) for data protection released in 2017 by Terre des hommes and CartONG.","link":"https://www.mdc-toolkit.org/data-protection-starter-kit/","tags":["Capacity","Operations","Data Protection","Retention","Metadata","Data Audit","Quality"]},{"title":"Data Protection, Privacy and Security for Humanitarian & Development Programs","description":"A discussion paper from World Vision International outlining key considerations and good practices in data protection and ethics","link":"https://www.mdc-toolkit.org/data-protection-starter-kit/","tags":["Data Protection","Public Engagement","Governance"]},{"title":"Building data responsibility into humanitarian action","description":"A brief featuring illustrative case studies, “minimum standards and core capacities” for responsible data handling in humanitarian contexts.","link":"https://www.unocha.org/sites/unocha/files/Building%20data%20responsibility%20into%20humanitarian%20action.pdf","tags":["Data Protection","Bias","Capacity","Accountability","Appropriateness"]},{"title":"OECD Privacy Guidelines","description":"Privacy guidelines from the OECD focusing on risk management, system interoperability, transborder data flows, and other concerns.","link":"http://www.oecd.org/digital/ieconomy/privacy-guidelines.htm","tags":["Data Protection","Sharing","Legal","Governance"]},{"title":"Oxfam Responsible Program Data Policy","description":"A rights-based approach to responsible data handling in international non-governmental institutions","link":"https://policy-practice.oxfam.org.uk/publications/oxfam-responsible-program-data-policy-575950","tags":["Data Protection","Appropriateness","Bias","Public Engagement"]},{"title":"The Keys to Data Protection","description":"A guide from Privacy International covering a wide array of considerations involved in deploying a institutional responsible data strategy.","link":"","tags":["Capacity","Public Engagement","Accountability","Retention","Quality","Legal","Governance","Operations"]},{"title":"ICRC Rules on Personal Data Protection","description":"The International Committee of the Red Cross’s provisions on protecting personal data generated across activities and operations.","link":"https://www.icrc.org/en/publication/4261-icrc-rules-on-personal-data-protection","tags":["Data Protection","Accountability","Operations"]},{"title":"The Signal Code","description":"Guidance from the Signal Program at the Harvard Humanitarian Initiative that offers a “Human Rights Approach to Information During Crisis.","link":"https://hhi.harvard.edu/publications/signal-code-human-rights-approach-information-during-crisis","tags":["Data Protection","Accountability","Legal","Public Engagement"]},{"title":"UN Global Pulse Principles on Data Protection and Privacy","description":"A framework for the protection of personal data that seeks to harmonize such standards across the UN System.","link":"https://www.unglobalpulse.org/policy/ungp-principles-on-data-privacy-and-protection/","tags":["Data Protection","Retention","Quality","Appropriateness","Accountability","Partnership"]},{"title":"Mapping and Comparing Responsible Data Approaches","description":"A report from The GovLab and Centre for Innovation at Leiden University that provides a comparative analysis of responsible data policies, practices, and tools used by various institutions.","link":"https://www.thegovlab.org/static/files/publications/ocha.pdf","tags":["Due Diligence","Scope","Operations","Legal","Governance","Accountability"]},{"title":"Responsible Data Frameworks: In Their Own Words","description":"A compilation from the Center for Democracy & Technology providing responsible data principles, policies, and guidelines used by various public institutions.","link":"https://cdt.org/wp-content/uploads/2018/06/2018-06-25-Responsible-Data-Frameworks-In-Their-Own-Words-FULL.pdf","tags":["Due Diligence","Data Protection","Governance","Accountability","Appropriateness","Public Engagement","Bias"]},{"title":"Impact Evaluation in Practice - Second Edition","description":"A handbook from the World Bank and Inter-American Development Bank to support impact evaluation efforts by policymakers and development practitioners.","link":"https://www.worldbank.org/en/programs/sief-trust-fund/publication/impact-evaluation-in-practice","tags":["Evaluation","Communications"]},{"title":"Global innovations in measurement and evaluation","description":"A report highlighting 8 innovative evaluation approaches to improve program design and assessment from New Philanthropy Capital (NPC).","link":"https://www.thinknpc.org/resource-hub/global-innovations-in-measurement-and-evaluation/","tags":["Evaluation"]},{"title":"Improving Governance with Policy Evaluation: Lessons from Country Experiences","description":"An OECD report informed by a 42-country survey of policy evaluation and assessment practices.","link":"http://www.oecd.org/gov/improving-governance-with-policy-evaluation-89b1577d-en.htm","tags":["Evaluation","Operations","Due Diligence"]},{"title":"Mechanisms to Govern Responsible Sharing of Open Data: A Progress Report","description":"A green paper from Sage Bionetworks outlining governance structures and governance design patterns that are driving inter-organization data collaboration, particularly for health.","link":"https://sage-bionetworks.github.io/governanceGreenPaper/","tags":["Governance","Partnership","Legal","Operations"]},{"title":"Working Draft of the UN OCHA Data Responsibility Guidelines","description":"Guidelines aimed at supporting responsible decision-making across the data lifecycle in humanitarian contexts, with a particular focus on assessing data sensitivity.","link":"https://centre.humdata.org/introducing-the-working-draft-of-the-ocha-data-responsibility-guidelines/","tags":["Governance","Data Audit","Data Protection","Metadata","Provenance","Retention"]},{"title":"Data Protection Laws of the World","description":"A searchable collection of global data protection laws and policies, as well as a dedicated handbook from the law firm DLA Piper.","link":"https://www.dlapiperdataprotection.com","tags":["Legal","Due Diligence","Data 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CCPA","description":"An analysis from the Future of Privacy Forum focused on influential privacy laws from the European Union and State of California.","link":"http://about.bna.com/privacy-laws-around-the-world/","tags":["Legal","Data Protection"]},{"title":"The Contractual Wheel of Data Collaboration","description":"A framework from the Contracts for Data Collaboration initiative (C4DC) that outlines key elements often present in data-sharing agreements and other legal mechanisms for inter-organizational and inter-sectoral data sharing.","link":"https://medium.com/data-stewards-network/introducing-the-contractual-wheel-of-data-collaboration-ca4c55938e7a","tags":["Legal","Governance","Partnership"]},{"title":"Framework for Data Sharing in Practice","description":"Guidance from Protection Information Management (PIM) focused on ensuring safe and responsible data sharing.","link":"http://pim.guide/wp-content/uploads/2018/05/Framework-for-Data-Sharing-in-Practice.pdf","tags":["Partnership","Data Protection","Operations","Accountability","Purpose","Provenance"]},{"title":"Field Guide to Data Sharing","description":"An operational guide to responsible data sharing from the Global Food Security Cluster and UN OCHA.","link":"https://fscluster.org/technology-and-innovation-task-team/document/field-guide-data-sharing","tags":["Operations","Partnership","Accountability","Data Protection","Data Audit","Purpose","Legal"]},{"title":"Who Has the D?: How Clear Decision Roles Enhance Organizational Performance","description":"A piece from Harvard Business Review outlining good practices in monitoring and clarifying decision provenance.","link":"https://hbr.org/2006/01/who-has-the-d-how-clear-decision-roles-enhance-organizational-performance","tags":["Provenance","Operations"]},{"title":"Untangling your organization’s decision making","description":"A piece from McKinsey & Company outlining good practices for managing decision making in complex institutional processes.","link":"https://www.mckinsey.com/business-functions/organization/our-insights/untangling-your-organizations-decision-making#","tags":["Provenance","Operations"]},{"title":"RD4C Decision Provenance Mapping","description":"A tool for assessing decision-making roles and processes across the data lifecycle, developed with a focus on data for and about children.","link":"https://www.mckinsey.com/business-functions/organization/our-insights/untangling-your-organizations-decision-making#","tags":["Provenance","Operations","Accountability"]},{"title":"Enhancing Access to and Sharing of Data","description":"An OECD report providing guidance on “reconciling risks and benefits for data re-use across societies.","link":"https://www.oecd.org/publications/enhancing-access-to-and-sharing-of-data-276aaca8-en.htm","tags":["Purpose","Due Diligence","Partnership"]},{"title":"Innovation Skills Accelerator Problem Definition Module","description":"A free online course module from The GovLab focused on defining actionable problems to guide innovation work.","link":"https://skills.innovation.nj.gov/modules/problem-definition.html","tags":["Purpose"]},{"title":"Guidelines for the Ethical Use of Digital Data in Human Research","description":"Guidance from the University of Melbourne and Carlton Connect Initiative to support ethical research design and assessment.","link":"https://skills.innovation.nj.gov/modules/problem-definition.html","tags":["Purpose","Accountability","Governance","Partnership"]},{"title":"People-Led Innovation","description":"A methodology from The GovLab and Bertelsmann Foundation outlining approaches for tapping into the expertise of different groups of people — including the general public, domain experts, community-based organizations, and others.","link":"https://www.thegovlab.org/static/files/publications/people-led.pdf","tags":["Public Engagement"]},{"title":"Data Ethics: Informed Consent and Data in Motion","description":"Guidance on ethical data handling, with a focus on obtaining informed consent, from the Accenture Data Ethics research initiative.","link":"https://www.causeit.org/data-ethics","tags":["Public Engagement","Partnership"]},{"title":"Improving Administrative Data Quality for Research and Analysis","description":"Recommendations from an Association of Public Data Users (APDU) webinar for reviewing and bolstering data quality.","link":"https://github.com/clayne237/chinalayne.us/blob/master/Publications/2017%20Improving%20Admin%20Data/APDU%202017%20admin%20data%20quality%20webinar%206.21.17.pdf","tags":["Quality"]},{"title":"Humanitarian Data Exchange Quality Assurance Framework","description":"A draft framework from UN OCHA describing key considerations and practices for maintaining good data quality on the HDX platform.","link":"https://github.com/clayne237/chinalayne.us/blob/master/Publications/2017%20Improving%20Admin%20Data/APDU%202017%20admin%20data%20quality%20webinar%206.21.17.pdf","tags":["Quality","Metadata","Partnership","Legal"]},{"title":"The Ultimate Guide to Data Retention","description":"A guide book from blancco outlining good practices for data retention policies and procedures.","link":"https://github.com/clayne237/chinalayne.us/blob/master/Publications/2017%20Improving%20Admin%20Data/APDU%202017%20admin%20data%20quality%20webinar%206.21.17.pdf","tags":["Retention","Governance","Legal","Operations","Data Protection"]},{"title":"The Data Retention Dilemma: Are You Storing Too Much Information","description":"A piece from Horizon Technology and the Information Governance Group discussing data protection and legal considerations related to data retention policies.","link":"https://www.horizontechnology.com/news/the-data-retention-dilemma-are-you-storing-too-much-information/","tags":["Retention","Legal","Governance"]}]