RFQ - User Research OCHA Centre for Humanitarian Data
UNOPS
RFQ - User Research OCHA Centre for Humanitarian Data
Request for quotation
Reference:
RFQ/2020/14692
Beneficiary countries or territories:
Multiple destinations (see 'Countries' tab below)
Registration level:
Basic
Published on:
06-May-2020
Deadline on:
13-May-2020 14:00 0.00
Description
General Background
The United Nations Office for the Coordination of Humanitarian Affairs (OCHA) has a Centre for Humanitarian Data in The Hague with the goal to increase the use and impact of data in the humanitarian sector. The vision is to create a future where all people involved in a humanitarian emergency have access to the data they need, when and how they need it, to make responsible and informed decisions. The audience for the Centre includes OCHA staff and humanitarian partners in the field and at headquarters.
The Centre focuses on four workstreams: data services, data policy, data literacy, and network engagement. The Centre’s data services work includes direct management of the Humanitarian Data Exchange (HDX) platform and the Humanitarian Exchange Language (HXL) data standard. Data services also supports the adoption of the International Aid Transparency Initiative (IATI) financial data standard. The Centre’s data literacy work focuses on improving the data skills of technical and non-technical humanitarians. In the area of data policy, the Centre has created a working draft of the OCHA Data Responsibility Guidelines and provides support to staff and partners to improve approaches in this area. Finally, the Centre works to further build and engage an active community in support of its mission and objectives through a number of events and communication activities.
In 2019, the Centre launched a two-year project funded by the Directorate-General for European Civil Protection and Humanitarian Aid Operations (DG ECHO), which focuses on the management of sensitive data and improving data responsibility. The project aims to ensure responsible data exchange by partners in the humanitarian sector. The Centre will address this challenge by establishing and promoting uptake of a secure infrastructure, process, and service model for de-risking sensitive data about crisis-affected populations. The technical support will be reinforced with guidance notes and community events and outreach. The results of this project are as follows:
With regards to Result 1, the project focuses on two areas related to the safe sharing of data:
First, we will create an enhanced detection process for sensitive data that is shared through HDX. This involves creating an algorithm or set of rules that will identify high-risk data before it is shared openly on HDX. This processing is currently handled manually by the HDX data team within 24 hours after a dataset is uploaded, but given this time lag, survey data with a high risk of re-identification of affected people has been shared publicly in the past. An automated detection process will remove this risk and send high-risk data into a quarantine process where it can be analyzed through statistical disclosure control (SDC), reducing the risk of the data before it is shared more widely.
Second, we will create a secure infrastructure and process where we can work with specific partners to de-risk data before it is shared with anyone. We will develop a service model to offer advanced data science techniques (including SDC) to partners that do not have these skills but are working with data about affected people.
The United Nations Office for the Coordination of Humanitarian Affairs (OCHA) has a Centre for Humanitarian Data in The Hague with the goal to increase the use and impact of data in the humanitarian sector. The vision is to create a future where all people involved in a humanitarian emergency have access to the data they need, when and how they need it, to make responsible and informed decisions. The audience for the Centre includes OCHA staff and humanitarian partners in the field and at headquarters.
The Centre focuses on four workstreams: data services, data policy, data literacy, and network engagement. The Centre’s data services work includes direct management of the Humanitarian Data Exchange (HDX) platform and the Humanitarian Exchange Language (HXL) data standard. Data services also supports the adoption of the International Aid Transparency Initiative (IATI) financial data standard. The Centre’s data literacy work focuses on improving the data skills of technical and non-technical humanitarians. In the area of data policy, the Centre has created a working draft of the OCHA Data Responsibility Guidelines and provides support to staff and partners to improve approaches in this area. Finally, the Centre works to further build and engage an active community in support of its mission and objectives through a number of events and communication activities.
In 2019, the Centre launched a two-year project funded by the Directorate-General for European Civil Protection and Humanitarian Aid Operations (DG ECHO), which focuses on the management of sensitive data and improving data responsibility. The project aims to ensure responsible data exchange by partners in the humanitarian sector. The Centre will address this challenge by establishing and promoting uptake of a secure infrastructure, process, and service model for de-risking sensitive data about crisis-affected populations. The technical support will be reinforced with guidance notes and community events and outreach. The results of this project are as follows:
- the development and prototyping of a secure technical infrastructure that will allow key partners to process and share sensitive data responsibly via HDX;
- the drafting and distribution of guidance notes on managing personal or sensitive data for the humanitarian sector; and
- at least two events focused on responsible data use in the humanitarian sector with partners from the private sector, academia, government, and IASC agencies.
With regards to Result 1, the project focuses on two areas related to the safe sharing of data:
First, we will create an enhanced detection process for sensitive data that is shared through HDX. This involves creating an algorithm or set of rules that will identify high-risk data before it is shared openly on HDX. This processing is currently handled manually by the HDX data team within 24 hours after a dataset is uploaded, but given this time lag, survey data with a high risk of re-identification of affected people has been shared publicly in the past. An automated detection process will remove this risk and send high-risk data into a quarantine process where it can be analyzed through statistical disclosure control (SDC), reducing the risk of the data before it is shared more widely.
Second, we will create a secure infrastructure and process where we can work with specific partners to de-risk data before it is shared with anyone. We will develop a service model to offer advanced data science techniques (including SDC) to partners that do not have these skills but are working with data about affected people.
This tender has been posted through the UNOPS eSourcing system. / Cet avis a été publié au moyen du système eSourcing de l'UNOPS. / Esta licitación ha sido publicada usando el sistema eSourcing de UNOPS. Vendor Guide / Guide pour Fournisseurs / Guíra para Proveedores: https://esourcing.unops.org/#/Help/Guides
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This procurement opportunity integrates considerations for at least one sustainability indicator. However, it does not meet the requirements to be considered sustainable.
Gender issues
Social
The tender contains sustainability considerations addressing gender equality and women's empowerment.
Examples:
Gender mainstreaming, targeted employment of women, promotion of women-owned businesses.
Link | Description | |
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https://esourcing.unops.org/#/Help/Guides | UNOPS eSourcing – Vendor guide and other system resources / Guide pour fournisseurs et autres ressources sur le système / Guía para proveedores y otros recursos sobre el sistema |
81131501
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Factor analysis
81131502
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Multivariate analysis
81131503
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Regression analysis
81131504
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Sampling surveys
81131505
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Time series analysis
New clarification added: 1. Yes that is correct. We would like user research conducted by the vendor to inform UX/UI considerations for 1) the sensitive data scanning process on HDX and 2) design of a service model for SDC.2. Yes, we expect the vendor to provide some visual representation of how the service model would look. We leave this to the vendor to decide how best to visually represent and convey their UI/UX recommendations. Wireframes as mentioned, or some other form of mockup should be provided.
Edited on:
12-May-2020 18:03
Edited by:
webservice@unops.org