Open Data Watch
| File:ODW logo Wikipedia.png | |
| Motto | Unlocking the Data Revolution |
|---|---|
| Formation | 2013 |
| Founder | Shaida Badiee, Eric V. Swanson, and Misha V. Belkindas |
| Type | NGO |
| Purpose | Optimizing the openness, accessibility, and coverage of data and official statistics for the public good |
| Headquarters | Washington, DC |
Region | Worldwide |
| Website | https://opendatawatch.com |
Open Data Watch (ODW) is an international non-governmental organization (INGO) positioned at the intersection of open data and official statistics. Supporting the efforts of national statistical offices (NSOs) to improve data systems and harness the advancements of the Data Revolution[1], ODW is dedicated to optimizing the openness and accessibility of data for the public good, especially for achieving national plans and the Sustainable Development Goals (SDGs) in low- and middle-income countries.
History
Founded in 2013 by a team of development data experts with long experience working in countries and international development agencies, Open Data Watch has risen in prominence due to a practical approach to data openness and accessibility that monitors adherence to international standards in a transparent and replicable way and combines this with policy advice, data support and research services that are helpful to both producers and users of data.
Purpose
The goal of Open Data Watch is to help countries build better and more resilient national statistical systems. Official statistics are a public good, and national statistical systems have an obligation to make official statistics available to everyone. Systems must consequently serve a wide range of users, from policy and decision makers to researchers, students, journalists, and the public at large. At the heart of user-centered and well-governed statistical systems are a set of defined open data practices that handle concerns like protecting privacy while linking data production to servicing user needs and assuring openness and accessibility. Open Data Watch monitors and supports these practices.
Partners
Open Data Watch builds and maintains partnerships with a diverse range of organizations working across the domains of open data for development, statistical capacity building, and government transparency. In addition to long-standing partnerships with organizations such as Data2X, PARIS21, and the Global Partnership for Sustainable Development Data, Open Data Watch has strong working partnerships with UN agencies, other NGOs, civil society, business groups, the media, and academia to promote prosperity and equality in various contexts. See a list of partners.
Areas of Work
Open Data Inventory
One of ODW's flagship products, the Open Data Inventory (ODIN), is now used by many National Statistical Offices (NSOs) to benchmark and fine tune their open data strategies.[2][3][4][5][6][7][8] ODIN currently measures the coverage and openness of over 20 categories of indicators in 187 countries using a methodology that allows data producers and data users to see exactly where data gaps occur and where improvements can be made. The results are tabulated to allow comparisons across datasets within a country and between countries. Importantly, ODIN assessments are complemented by conferences and workshops on best practices and in-depth comparative research into causes, trends, and solutions.
Data Value Chain
The Data Value Chain [9][10][11][12] describes the process of data creation and use from first identifying a need for data to its final use and possible reuse. The data value chain has four major stages: collection, publication, uptake, and impact. These four stages are further separated into twelve steps: identify, collect, process, analyze, release, disseminate, connect, incentivize, influence, use, change, and reuse. Throughout the process, from one end of the value chain to another and back again, there should be constant feedback between producers and stakeholders. The data value chain can be used as a teaching tool to show the complex set of steps from data creation to use and impact or as a management tool to monitor and evaluate the data production process.
COVID-19
During the COVID-19 pandemic, as part of its “watch” function, Open Data Watch has maintained one of the preeminent sites on data resources, reports, and initiatives to combat the global spread of the virus -- Data in the Time of COVID. ODW's work on gender data is often cited in combination with COVID-19 data.[13]
Gender Data
Three landmark research reports by Open Data Watch, in cooperation with Data2x and UN economic commissions, have assessed the status and welfare of women and girls in three regions: Africa[14], Latin America and the Caribbean[15][16], and Asia and the Pacific[17]. Looking at about 100 gender-relevant indicators, the reports compare progress towards gender equality and identify gaps in the data needed to develop policies and monitor results. A major companion study by ODW and Data2x, State of Gender Data Financing[18][19], calculated the cost of filling gender data gaps.
Civil Registration and Vital Statistics
Open Data Watch in partnership with the IDRC Centre of Excellence for Civil Registration and Vital Statistics (CRVS) has produced a collection of research papers called the Compendium[20][21] that provides an overview of CRVS in conflict and emergency settings. Case studies spotlight experiences in a wide range of countries. ODW also tracks CRVS initiatives and publishes findings online at CRVS Resources.
Accreditations and Financial Support
Open Data Watch is an accredited non-governmental organization at the United Nations[22], participating on the Secretary-General's Independent Expert Advisory Group on a Data Revolution for Sustainable Development (IEAG)[23]. It is incorporated as a 501(c)3 non-profit organization in Washington, DC. ODW is funded by a general grant from the William and Flora Hewlett Foundation and through project-specific contracts with partner governments, agencies, and groups such as Data2x, PARIS21 and IDRC.
References
- ↑ "Data Revolution Report". UN Data Revolution. Retrieved 2021-10-28.
- ↑ "Open Data: le Maroc améliore son classement mondial". fnh.ma (in français). Retrieved 2021-10-28.
- ↑ "Africa needs more health data to improve response to health crises". The Africa Report.com. 2020-04-09. Retrieved 2021-10-28.
- ↑ "Malta government ranking on transparency takes another knock". theshiftnews.com. Retrieved 2021-10-28.
- ↑ Welle (www.dw.com), Deutsche. "International development: Poor data hold back human progress | DW | 22.03.2018". DW.COM. Retrieved 2021-10-28.
- ↑ Statistiek, Centraal Bureau voor de. "CBS bereikt 2e plaats wereldwijde ranglijst open data". Centraal Bureau voor de Statistiek (in Nederlands). Retrieved 2021-10-28.
- ↑ Jara, Mónica (5 March 2018). "Ecuador lidera apertura de estadísticas en Sudamérica, según ONG". El Comercio (in español). Retrieved 2021-10-28.
- ↑ PERÚ, NOTICIAS EL COMERCIO (2019-12-31). "Indicadores país: Perú y su posición en los ranking del mundo | POLITICA". El Comercio Perú (in español). Retrieved 2021-10-28.
- ↑ Mixson, Elizabeth (2021-05-07). "The Data Value Chain Explained". AI, Data & Analytics Network. Retrieved 2021-10-28.
- ↑ https://opendatawatch.com/reference/the-data-value-chain-executive-summary/ File:CC-BY-icon-80x15.png This article incorporates text available under the CC BY 4.0 license.
- ↑ "The Data Value Chain". www.data4sdgs.org. Retrieved 2021-10-28.
- ↑ "Introduction - Data Interoperability Guide - UN Statistics Wiki". unstats.un.org. Retrieved 2021-10-28.
- ↑ Hawkes, Sarah; Tanaka, Sonja; Pantazis, Athena; Gautam, Abhishek; Kiwuwa-Muyingo, Sylvia; Buse, Kent; Purdie, Anna (2021-06-01). "Recorded but not revealed: exploring the relationship between sex and gender, country income level, and COVID-19". The Lancet Global Health. 9 (6): e751–e752. doi:10.1016/S2214-109X(21)00170-4. ISSN 2214-109X. PMID 33836150 Check
|pmid=value (help). - ↑ "Bridging the Gap: Mapping Gender Data Availability in Africa". Data2X. Retrieved 2021-10-28.
- ↑ "Bridging the Gap: Mapping Gender Data Availability in Latin America and the Caribbean". Data2X. Retrieved 2021-10-28.
- ↑ PallarèS, GlòRia (2017-01-20). "Igualdad de datos para la igualdad de género". El País (in español). ISSN 1134-6582. Retrieved 2021-10-28.
- ↑ "Bridging the Gap: Mapping Gender Data Availability in Asia and the Pacific". Data2X. Retrieved 2021-10-28.
- ↑ "State of Gender Data Financing - 2021". Data2X. Retrieved 2021-10-28.
- ↑ "State of Gender Data Financing 2021". Georgetown Institute of Women Peace and Security. Retrieved 2021-10-28.
- ↑ "Compendium of Good Practices: Harnessing CRVS in Conflict, Emergencies and Fragile Settings". Open Data Watch. 2021-04-12. Retrieved 2021-10-28.
- ↑ "State of Gender Data Financing 2021 - World". ReliefWeb. Retrieved 2021-10-28.
- ↑ "List of organizations with consultative status to the United Nations Economic and Social Council", Wikipedia, 2021-10-24, retrieved 2021-10-28
- ↑ "UN Data Revolution". UN Data Revolution. Retrieved 2021-10-28.
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