The DDL maintains data on articles referencing the DDL since it was formally established in 2014. Details include article citations, DDL site or data asset citations, and data asset availability statements, in addition to codes indicating whether specific data assets are referenced and whether data is referenced in a citation, which may indicate data reuse. This data asset is updated quarterly.

The Anticorruption Projects Database (Database) includes information about USAID projects with anticorruption interventions implemented worldwide between 2007 and 2013. The Database includes about 300 long-term country projects and regional or short-term projects. Projects were identified and information collected by the six Implementing Partners (IP) of the ENGAGE Indefinite Quantity Contract. Criteria for selecting projects included: distinctive project interventions targeted at reducing corruption or promoting government integrity, accountability and transparency that ultimately results in reducing opportunities to corruption. Availability of sufficient information about the projects was another criterion for selecting them to the Database. This included but was not limited to project description and results, implementation timeframe, project value, and implementer. After reviewing approximately 2000 projects, more than 300 were identified for the Database.

This dataset captures data about articles referencing the DDL since it was formally established in 2014.

This data asset brings together information collected since 2001 on Public Private Partnerships (PPPs) that have been supported by USAID. For the purposes of this dataset a PPP is defined as a USAID-supported development project or initiative which engages the private sector (including corporations, foundations, and other non-governmental actors) as a core resource partner. Due to changes in Agency data collection systems, standards, and internal organization, the data has been collected according to different mechanisms, definitions, and timeframes from 2001-2015, and therefore cannot be considered to be comprehensive of all PPPs during this period.

description: The Records Management Database is tool created in Microsoft Access specifically for USAID use. It contains metadata in order to access and retrieve the information on more than 330,000 USAID projects and programs that have been manually scanned into archives stored on CD-ROM. The system tracks files required by each Bureau and Mission in the event of an emergency. A complete roster of the files stored on the system is submitted annually to M/MS/IRD.; abstract: The Records Management Database is tool created in Microsoft Access specifically for USAID use. It contains metadata in order to access and retrieve the information on more than 330,000 USAID projects and programs that have been manually scanned into archives stored on CD-ROM. The system tracks files required by each Bureau and Mission in the event of an emergency. A complete roster of the files stored on the system is submitted annually to M/MS/IRD.

"ForeignAssistance.gov is the U.S. government’s flagship website for making U.S. foreign assistance data available to the public. It serves as the central resource for budgetary and financial data produced by U.S. government agencies that manage foreign assistance portfolios. In keeping with the U.S. government’s commitment to transparency, ForeignAssistance.gov presents a picture of U.S. foreign assistance in accurate and understandable terms. The website also includes links to associated strategies and evaluations for U.S. foreign assistance programs. This site will be continually updated as data are available. Look for new features and enhancements as they come online.The primary objective of the site is to fulfill the requirements set forth in the Foreign Aid Transparency and Accountability Act of 2016 (FATAA) through the collection, tracking, and publication of the full lifecycle of all USG foreign assistance data."From Internet ArchiveMethodology:ForeignAssistance.gov captures both budgetary and financial information related to U.S. foreign assistance. These two types of data capture foreign assistance at different points in the financial lifecycle.Budgetary DataBudgetary data represents funds that are set aside to be spent by the U.S. government and its implementing partners in the future. Budgetary data is composed of request data – funds requested by U.S. government agencies – and appropriation data – funds appropriated by Congress to U.S. government agencies through spending bills signed into law. This data is reported on an annual basis for the fiscal year for which the funds were requested or appropriated.President's Budget Requests – The agencies prepare a funding request from Congress. The request data visualized on ForeignAssistance.gov comes from each agency's budget request. Each U.S. government agency prepares a budget request to Congress, which is compiled into the President's Budget submission to both the U.S. Senate and the U.S. House of Representatives. This submission provides a comprehensive outline of all programs and the associated funds the President proposes to execute in the upcoming fiscal year, and as such is not an authority to spend funds. This is also known as the Congressional Budget Justification (CBJ).Appropriations – Congress appropriates funds to U.S. government agencies in a series of appropriations acts or spending bills, which are then signed into law by the President. These laws provide funds to the agencies, which are subdivided into specific amounts to be spent on set categories or activities over a specified amount of time. In many instances, funds appropriated in a given fiscal year do not need to be obligated in that same fiscal year. The data visualized on ForeignAssistance.gov originally comes from the appropriation passed by Congress and is refreshed with final amounts for the agencies once this data is available.Financial DataFinancial data includes both obligated data – funds the U.S. government commits to an acquisition or award mechanism – and disbursed data – funds the U.S. government moves to implementing partners for the purchase of goods and services. U.S. government agencies report financial transaction data from their accounting and project management systems on a quarterly basis, if possible. The fiscal years associated with obligated and disbursed transaction data represent the years in which those transactions took place. Transaction data is more granular than activity data. Transaction data represent individual financial records in an agency's accounting system of record for program work with implementing partners and administrative expenses.What is Foreign Aid?Foreign assistance is provided by the United States to other countries to support global peace, security, and development efforts, as well as to provide humanitarian relief during times of crisis. The U.S. government provides foreign assistance because it is strategically, economically, and morally imperative for the United States and vital to U.S. national security.For purposes of this website, foreign assistance includes activities funded from appropriations accounts that are made available for assistance for foreign countries, international organizations, and other foreign entities, which may include, but is not limited to, funds, goods, services, and technical ass

This spreadsheet contains detailed information regarding active public-private partnerships in FY 2016. This dataset is part of the data asset that brings together information collected since 2001 on Public Private Partnerships (PPPs) that have been supported by USAID. For the purposes of this dataset a PPP is defined as a USAID-supported development project or initiative which engages the private sector (including corporations, foundations, and other non-governmental actors) as a core resource partner. Due to changes in Agency data collection systems, standards, and internal organization, the data has been collected according to different mechanisms, definitions, and timeframes from 2001-2016, and therefore cannot be considered to be comprehensive of all PPPs during this period.

The United States Agency for International Development's (USAID) Bureau for Policy, Planning, and Learning's Office of Learning, Evaluation, and Research (PPL/LER) commissioned this study to help USAID determine the extent to which its evaluations are being used and what guidance, tools, or Agency practices might be improved to enhance evaluation utilization. The data was compiled as part of the Evaluation Utilization Study completed in February 2016. The study was informed by three primary data sources: document review, survey research and interviews. Evaluation use was evident at several stages in the USAID Program Cycle. At the country level, 59 percent of approved strategies were found to have referenced USAID evaluations and 71 percent of evaluations were used to support and/or modify a USAID project or activity. The most common changes found were actions that refocus ongoing activities, including revisions to delivery mechanism work plans, extending activity timelines or expanding activity geographic areas. The study team concluded that USAID evaluation utilization practices are already strong and compare well to those of other US Government agencies examined in previous studies by the US Government Accountability Office.

The Global Health Investment Landscaping project database consists of information about impact-oriented and global health-supporting investment funds or capital providers with a focus on East Africa and India. The data contains basic information about the organizations identified including size, geographic focus, and type of organization as well as descriptions about their deals and investments.

In 2018, the USAID/Jordan Monitoring and Evaluation Support Project (MESP) conducted a nationally representative survey in Jordan (N=11,963). The survey was designed to support USAID/Jordan learning and decision making by providing a better understanding of the broader context in which projects and activities are implemented, explore determinants of indicator performance, and to provide implementing partners data critical to their activity planning and implementation. The survey provides critical data on key international economic and social development indicators, and data relevant to USAID performance indicators and learning agenda questions.

USAID/Uganda’s Strengthening Uganda’s Systems for Treating AIDS Nationally (SUSTAIN) activity supports Uganda’s Ministry of Health (MOH) to strengthen quality and comprehensive HIV/AIDS care, prevention, laboratory and tuberculosis (TB) services at selected regional referral and district health care facilities in Uganda, as well as build the capacity of the public health system to sustain these services. SUSTAIN is a six-year USAID-funded activity launched in 2010 and implemented by University Research Co., LLC (URC). SUSTAIN is one of many PEPFAR-funded activities to address the HIV/AIDS epidemic in Uganda. The main objective of the SUSTAIN program evaluation was to examine the activity’s methodology for achieving its objectives in order to inform future USAID design work. USAID noted that URC had performed well on SUSTAIN, as evidenced by its activity reports, but wanted an evaluation of the approach used by SUSTAIN to inform future program designs. SUSTAIN implementation adapted to contextual changes in the Government of Uganda's (GoU) HIV/AIDS strategy responding to a spike in new infections and people living with HIV, and major shifts in PEPFAR policy.

This is a mobile application for capturing images , data, and geolocation for USAID projects in the field. The data is then stored on a server in AllNet. The application is offered through the USAID App Store and runs on iOS and BlackBerry devices.

APHIAPlus IMARISHA is a project working to increase the availability and uptake of quality health information, products and services, and to address the social determinants of health in the Northern Arid Lands of Kenya, through a country-led, country-owned, and country-managed approach. This data asset is a qualitative follow-up study to CRS 4Children tracer study of APHIAplus IMARISHA program.

This database is produced as part of the Comparative Research Project on Landscape Restoration for Emissions Reductions, a collaboration between Wageningen University and Research (Laboratory of Geo-Information Science and Remote Sensing) and The International Center for Tropical Agriculture (CIAT), supported by USAID. The aim of this research project is to map and characterize planned, ongoing and finished restoration projects in LAC countries. The database contains detailed project information from 154 restoration projects in LAC. Projects from various initiatives (20x20, GEF, UNFCCC CDM, FIP, and many others) are included in the database. We used project reports and information from websites from the various initiatives to assemble project information for this database. Projects from the following databases were included: Cerrón, J., del Castillo, J., Mathez-Stiefel, S.-L. and Thomas, E. (2017) Lecciones aprendidas de experiencias de restauración en el Perú. Bioversity, ICRAF, SERFOR. Méndez-Toribio, M., Martínez-Garza, C., Ceccon, E. and Guariguata, M. R. (2018) La restauración de ecosistemas terrestres en México. Estado actual, necesidades y oportunidades. Documentos Ocasionales 185. CIFOR. doi: 10.17528/cifor/006853. Murcia, C. and Guariguata, M. (2014) La restauración ecológica en Colombia. Tendencias, necesidades y oportunidades. CIFOR.

The purpose of this study is to evaluate the impact that the Feed the Future Nutrition-led Agriculture Project for Food Security in Senegal (known as "Yaajeende") has had on reducing malnutrition and poverty in its intervention area. This report details the findings, conclusions and recommendations of a mixed-methods quasi-experimental final impact evaluation (FIE) of the United States Agency for International Development’s (USAID) $50 million, seven-year Feed the Future Nutrition-Led Agriculture Project for Food Security in Senegal, known as “Yaajeende.” The National Cooperative Business Association’s Cooperative League of the USA (NCBA CLUSA) implemented the project. To combat poverty and child malnutrition, Yaajeende sought to accelerate the participation of the very poor in rural economic growth and improve the four dimensions of food security: availability, access, utilization and stability. Yaajeende worked in 790 villages across 49 municipalities (“communes” in French) and nine departments in the Matam, Tambacounda, Kédougou and Kolda regions. The project’s implementation period was November 1, 2010, to September 30, 2017. The FIE aims to provide USAID with an evidence base on the impacts of the nutrition-led agriculture (NLA) approach that the project utilized on its key objectives, including reduced poverty and malnutrition. The findings are expected to provide accountability and learning value to USAID, including both the Senegal Mission and USAID/Feed the Future. Additional stakeholders include the Government of Senegal, implementing partners and other agencies, donors and practitioners active in nutrition, health, agriculture and integrated sectors.

The Monitoring and Evaluation (M&E) Clearinghouse-Monitor is a web-based Information System that provides the Mission with information about the status and progress of all USAID/Colombia projects and activities. It is a custom-built, dual-language (English and Spanish) system (http://www.monitor.net.co/) developed by DevTech that debuted in January 2011. It features a central Performance Management Plan with information of more than 5,000 sub-Activities, approximately 100 indicators with different disaggregation features, a reporting capability, and information management to include environmental compliance. Monitor is currently being supported through a contract with a local company (Heinsohn Business Technology) that basically provides: (A) support to the system operations and delivers training for all the users from USAID/Colombia and its Implementing Partners, (B) carries-out mutually agreed software updates, (C) supports an operates the web-hosting platform and all the related services to keep the software up and running, and (D) deploys its technical expertise and capabilities to keep the system up and running.

USAID’s Initiative for Hygiene, Sanitation and Nutrition (IHSAN) project contains activities designed to improve the nutritional status of women of reproductive age and children less than five years old, focusing on the first 1,000 days (conception to 24 months of age). This data asset contains data sets related to nutrition services provided to children and women, WASH services (Community Led Total Sanitation) provided to the project beneficiary communities, and training provided to service providers. All baseline and endline surveys were done during Fiscal Year 2018 through the IHSAN project funded by USAID (2016-2021).

BackgroundDelivery of preventive chemotherapy (PC) through mass drug administration (MDA) is used to control or eliminate five of the most common neglected tropical diseases (NTDs). The success of an MDA campaign relies on the ability of drug distributors and their supervisors—the NTD front-line workers—to reach populations at risk of NTDs. In the past, our understanding of the demographics of these workers has been limited, but with increased access to sex-disaggregated data, we begin to explore the implications of gender and sex for the success of NTD front-line workers.Methodology/Principal findingsWe reviewed data collected by USAID-supported NTD projects from national NTD programs from fiscal years (FY) 2012–2017 to assess availability of sex-disaggregated data on the workforce. What we found was sex-disaggregated data on 2,984,908 trainees trained with financial support from the project. We then analyzed the percentage of males and females trained by job category, country, and fiscal year. During FY12, 59% of these data were disaggregated by sex, which increased to nearly 100% by FY15 and was sustained through FY17. In FY17, 43% of trainees were female, with just four countries reporting more females than males trained as drug distributors and three countries reporting more females than males trained as trainers/supervisors. Except for two countries, there were no clear trends over time in changes to the percent of females trained.Conclusions/SignificanceThere has been a rapid increase in availability of sex-disaggregated data, but little increase in recruitment of female workers in countries included in this study. Women continue to be under-represented in the NTD workforce, and while there are often valid reasons for this distribution, we need to test this norm and better understand gender dynamics within NTD programs to increase equity.

CAR Info is designed and managed by the Central Asian Republic Mission to fill in the knowledge and reporting gaps in existing agency systems for that Mission. It tracks the program approval process, data on project sites, and project performance data that can be compared against mission performance plans.

The USAID Azerbaijan Community Resilience Baseline Assessment (CRBA) and Community Resilience Assessment (CRA), are robust collections of actionable operational data on which IMPL. PROJECT and/or USAID can base follow-on data collection and/or programming and inform USAID Azerbaijan in related focus areas. The CRBA and CRA map the issues, identify critical vulnerabilities, assess the credibility of local actors, and create cross-sectoral plans to engage communities and build resiliency. Regions surveyed include Quba-Khachmaz, Sheki-Zaqatala, Ganja, and Lankaran.