"Data responsibility in humanitarian action is the safe, ethical and effective management of personal and non-personal data for operational response. It is a critical issue for the humanitarian system to address and the stakes are high. Ensuring we ‘do no harm’ while maximizing the benefits of data requires collective action that extends across all levels of the humanitarian system. Humanitarians must be careful when handling data to avoid placing already vulnerable individuals and communities at further risk. This is especially important in contexts where the urgency of humanitarian needs drives pressure for fast, sometimes untested, data solutions, and the politicization of data can have more extreme consequences for people. " - IASC Operational Guidance on Data Responsibility in Humanitarian Action
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Data responsibility in humanitarian action is the safe, ethical and effective management of personal and non-personal data for operational response, in accordance with established frameworks for personal data protection.
Safe | Data management activities ensure the security of data at all times, respect and uphold human rights and other legal obligations, and do not cause harm.
Ethical | Data management activities are aligned with the established frameworks and standards for humanitarian ethics3 and data ethics.
Effective | Data management activities achieve the purpose(s) for which they were carried out.
The Centre for Humanitarian Data is focused on increasing the use and impact of data in the humanitarian sector. It focused on four areas: 1) data services; 2) data literacy; 3) data responsibility; and 4) predictive analytics.
Humanitarian Data Exchange (HDX) platform https://data.humdata.org/
Centre for Humanitarian Data Glossary Of Data Terms
The IASC Operational Guidance on Data Responsibility in Humanitarian Action [IASC, Feb 2021]
This system-wide Operational Guidance, which is a first, will ensure concrete steps for data responsibility in all phases of humanitarian action.
The State Of Open Humanitarian Data 2021 [OCHA, Feb 2021]
Centre for Humanitarian Data flagship annual publication examining the availability of 27 categories of data that are crucial for effectively responding to humanitarian emergencies.
Guidance Note: Responsible Approaches To Data Sharing [OCHA, Dec 2020]
Common examples of sensitive non-personal data, and an approach to information and data sensitivity classification for humanitarian organizations.
Tip Sheet on Maintaining Confidential Digital Dialogue During Humanitarian Emergencies [OCHA, July 2020]
Help for colleagues navigating questions regarding the confidentiality of their digital communications in humanitarian response
HDX Data Visualization Guidelines [HDX, April 2021]
General design principles and best practices, detailed information about our preferred styles for visualizations on HDX, and links to download our logos and other design assets.
Data Responsibility in the COVID-19 Response Resources [HDX]
The Gender-based Violence Information Management System (GBVIMS) is a multi-faceted initiative that enables humanitarian actors responding to incidents of GBV to effectively and safely collect, store, analyze and share data reported by GBV survivors.
The GBVIMS includes:
GBV Classification Tool– a set of six types of GBV to standardize GBV definitions and the incident classification process.
Intake and Consent Forms – two forms used for collecting GBV data. The Intake and Initial Assessment Form is a standard intake form designed to ensure that GBV actors are collecting a common set of data points. The Consent for Release of Information Form requires survivors’ authorization for any of their information to be shared; it is intended to ensure that the rights of the survivors to control their incident data are maintained and protected.
Incident Recorder (IR) – an Excel database designed to simplify and improve data collection, compilation and analysis.
GBV Information Sharing Protocol Template – a protocol template that outlines guiding principles on the safe and ethical sharing of GBV data and best-practice to follow when developing an inter-agency information sharing protocol.