This presentation compares seven different platforms that showcase foreign assistance data, and is intended to start a conversation and encourage further analysis.
Please direct any thoughts or comments to Julie Biau (jbiau@brookings.edu) and Christine Zhang (czhang@brookings.edu).
Impact of DDOD on Data Quality - White House 2016David Portnoy
"The Impact of Demand-Driven Open Data (DDOD) on Data Quality" was presented on April 27, 2016 at Open Data Roundtable held at the White House Office of Science and Technology Policy.
It discusses the data quality problems prevalent in open data and their impact, the origins of the DDOD concept, how it works, progress towards its goals, several use case examples, and how to implement it at other organizations.
More information:
* DDOD http://ddod.healthdata.gov
* Open Data Roundtables https://www.data.gov/meta/open-data-roundtables/
* White House Office of Science and Technology Policy: https://www.whitehouse.gov/blog/2016/02/05/open-data-empowering-americans-make-data-driven-decisions
There are a growing number of examples demonstrating compelling and creative uses of data provided by U.S. Department of Health and Human Services (HHS) agencies.
HHS provides a wealth of open data sources and APIs. Industry, researchers and media have been able to put these data assets to good use, creating significant economic value, informing the public and improving public health.
This document explores the concepts behind how DDOD (Demand-Driven Open Data) can be used in conjunction with FOIA (Freedom of Information Act) requests. It describes how DDOD and FOIA can leverage each other's strengths to help overcome their inherent challenges.
DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHS’s agencies (CMS, FDA, NIH, CDC, NCHS, AHRQ and others) to create additional economic and public health value.
DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. It's the Lean Startup approach to open data. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled.
DDOD website: http://ddod.us
Work from the newly established data group on liberating HHS data and making it useful. The National Committee on Vital and Health Statistics (NCVHS) is the statutory public advisory body to the Secretary of Health and Human Services on health information policy. Who uses HHS data in secondary and tertiary ways and how to think about systems and structures to make information meaningful and easily accessible.
Healthcare Data Integrity and Interoperability Standards Podcast SummaryM2SYS Technology
As the healthcare industry moves closer to full scale implementation of health information exchanges and integrated delivery networks, the call for data integrity and interoperability standards has grown increasingly louder to help ensure that data quality isn’t compromised so physicians and patients can have complete confidence in the information reflected by their electronic health records.
We interviewed John Donnelly, President of IntePro Solutions in Colonia NJ and an expert in healthcare technology standards, interoperability and innovation about data integrity and data standardization protocols in the context of the shift to electronic medical records and the subsequent data sharing across health information exchanges.
University systems, state governments, and economic development organizations are developing new expertise and resource portals to foster university-industry engagement. These portals expose subject matter experts conducting research and university resources like core facilities willing to engage with industry, making experts and resources discoverable by search and easier to connect with.
Impact of DDOD on Data Quality - White House 2016David Portnoy
"The Impact of Demand-Driven Open Data (DDOD) on Data Quality" was presented on April 27, 2016 at Open Data Roundtable held at the White House Office of Science and Technology Policy.
It discusses the data quality problems prevalent in open data and their impact, the origins of the DDOD concept, how it works, progress towards its goals, several use case examples, and how to implement it at other organizations.
More information:
* DDOD http://ddod.healthdata.gov
* Open Data Roundtables https://www.data.gov/meta/open-data-roundtables/
* White House Office of Science and Technology Policy: https://www.whitehouse.gov/blog/2016/02/05/open-data-empowering-americans-make-data-driven-decisions
There are a growing number of examples demonstrating compelling and creative uses of data provided by U.S. Department of Health and Human Services (HHS) agencies.
HHS provides a wealth of open data sources and APIs. Industry, researchers and media have been able to put these data assets to good use, creating significant economic value, informing the public and improving public health.
This document explores the concepts behind how DDOD (Demand-Driven Open Data) can be used in conjunction with FOIA (Freedom of Information Act) requests. It describes how DDOD and FOIA can leverage each other's strengths to help overcome their inherent challenges.
DDOD is an initiative by the U.S. Department of Health and Human Services (HHS) started in November 2014 as part of its IDEA Lab program. The goal is to leverage the vast data assets throughout HHS’s agencies (CMS, FDA, NIH, CDC, NCHS, AHRQ and others) to create additional economic and public health value.
DDOD provides a systematic, ongoing and transparent mechanism for anybody to tell HHS and its agencies what data would be valuable to them. It's the Lean Startup approach to open data. With this initiative HHS can move from measuring Open Data in terms of number of datasets released to value in terms of use cases enabled.
DDOD website: http://ddod.us
Work from the newly established data group on liberating HHS data and making it useful. The National Committee on Vital and Health Statistics (NCVHS) is the statutory public advisory body to the Secretary of Health and Human Services on health information policy. Who uses HHS data in secondary and tertiary ways and how to think about systems and structures to make information meaningful and easily accessible.
Healthcare Data Integrity and Interoperability Standards Podcast SummaryM2SYS Technology
As the healthcare industry moves closer to full scale implementation of health information exchanges and integrated delivery networks, the call for data integrity and interoperability standards has grown increasingly louder to help ensure that data quality isn’t compromised so physicians and patients can have complete confidence in the information reflected by their electronic health records.
We interviewed John Donnelly, President of IntePro Solutions in Colonia NJ and an expert in healthcare technology standards, interoperability and innovation about data integrity and data standardization protocols in the context of the shift to electronic medical records and the subsequent data sharing across health information exchanges.
University systems, state governments, and economic development organizations are developing new expertise and resource portals to foster university-industry engagement. These portals expose subject matter experts conducting research and university resources like core facilities willing to engage with industry, making experts and resources discoverable by search and easier to connect with.
Marketing Introduction for MLC Corporate Super Specialist Network membersAlisdair Blackman
Presentation delivered at MLC / nab wealth, North Sydney on Friday 28th November 2014 by Alisdair Blackman, Digital Rehab to Corporate Superannuation Advisers to help them communicate more efficiently with prospective members.
Annotating search results from web databases-IEEE Transaction Paper 2013Yadhu Kiran
Abstract—An increasing number of databases have become web accessible through HTML form-based search interfaces. The data units returned from the underlying database are usually encoded into the result pages dynamically for human browsing. For the encoded data units to be machine processable, which is essential for many applications such as deep web data collection and Internet comparison shopping, they need to be extracted out and assigned meaningful labels. In this paper, we present an automatic
annotation approach that first aligns the data units on a result page into different groups such that the data in the same group have the same semantic. Then, for each group we annotate it from different aspects and aggregate the different annotations to predict a final annotation label for it. An annotation wrapper for the search site is automatically constructed and can be used to annotate new result pages from the same web database. Our experiments indicate that the proposed approach is highly effective.
THis ppt gives you information on water mision
it highlights the ideas of :-
1) conserving
2) recycling
3) problems faced by people
4)info on water mission
5)helps you complete your h.w ;)
thanx for watching
Моя прошлогодняя работа в Британке (kick-off), которая так и не зажила отдельной жизнью, но, может, кого-то вдохновит на дальнейшие подвиги. Я проектировала сервис с точки зрения пользователя, каким он мог бы быть с учетом пользы для отдельно взятого горожанина, и с учетом опыта мобильного американского сервиса 311.
Prezentacja powstała na zajęcia z przygotowania kulturalno-pedagogicznego, które realizowane są w ramach projektu "Międzynarodowy dialog zawodowy".
Projekt realizowany jest w ramach programu Erasmus+.
Standard Safeguarding Dataset - overview for CSCDUG.pptxRocioMendez59
13 July, 2023 - CSCDUG Online Event
Presenting the Sector-led Standard Safeguarding Dataset
Colleagues from Data to Insight, the LA-led service for children’s safeguarding data professionals, are delivering a DfE-funded project in partnership with LAs to define a new “standard safeguarding dataset” which all LAs will be able to produce from their safeguarding information systems.
At this session, they shared what they’ve learned so far from user research with LA colleagues and discussed their early thinking about what a better standard dataset might look like. Participants shared their own thoughts about how to improve these systems and processes.
Presenters
Alistair Herbert
Alistair is the lead officer for Data to Insight, the LA-led service for children’s safeguarding data professionals. With a career focused on local authority children’s services data work, he knows about safeguarding data, information systems, and cross-organisation collaboration.
John Foster
John is a Data Manager for Data to Insight. He has supported a range of children’s services data work, most recently at Shropshire Council. He led Data to Insight’s project to introduce the first national benchmarking dataset for Early Help, and is the user research lead for Data to Insight’s Standard Safeguarding Dataset project.
Rob Harrison and Joe Cornford-Hutchings
Rob and Joe are new Data Managers joining Data to Insight from the private and public sector respectively. They bring between them a wealth of experience and technical expertise, and will be working together to support design and implementation of the new Standard Safeguarding Dataset through 2023-24.
ONS Local has been established by the Office for National Statistics (ONS) to support evidence-based decision-making at the local level. We aim to host insightful events that connect our users with exciting developments happening in subnational statistics and analysis at the ONS and across other organisations.
In April 2022, as the impact of increases in the Cost of Living really came to the forefront, Public Health & Communities, Suffolk County Council published a Cost of Living profile as part of the Joint Strategic Needs Assessment.
Alongside a written Cost of Living report ‘Making ends meet: The cost of living in Suffolk’, an interactive dashboard was also created using Power BI. In addition to internal data flows, publicly available data from sources such as the ONS have been used to provide a rich picture of the current situation for the local community.
The dashboard was developed in order to:
• Provide up to date data and information on the Cost of Living for Suffolk County Council, partner organisations, and members of the public.
• Deliver an interactive tool to allow users to focus on areas most relevant to them.
• Demonstrate that, while increases in the cost of living affect everyone, impact will be greatest for those who are already under financial pressure, exacerbating inequalities.
• Provide a source of actionable insight to support the system with the evidence base needed to support project development, drive change and really make a difference in the community.
Features of the dashboard:
• Place-focused - published at smaller geographies where possible
• Collaborative - Includes local data from across the system such as data shared by Citizens Advice and other system partners.
• Automated - Most data sources have automated connections, meaning there is little manual intervention required.
• Self-Service - Making the report publicly available puts data at the fingertips of colleagues, system partners and members of the public.
• Live - The dashboard is a living report which is frequently updated.
This session will:
• Provide a demonstration of Suffolk County Council’s Cost of Living dashboard
• Give an overview of data sources
• Explore opportunities for automation using Power BI
• Discuss how the data dashboard is used locally
This event is open to all; however, we anticipate it will be of most interest to anyone working on cost of living dashboards at the local level.
If you have any questions, please contact ons.local@ons.gov.uk.
Marketing Introduction for MLC Corporate Super Specialist Network membersAlisdair Blackman
Presentation delivered at MLC / nab wealth, North Sydney on Friday 28th November 2014 by Alisdair Blackman, Digital Rehab to Corporate Superannuation Advisers to help them communicate more efficiently with prospective members.
Annotating search results from web databases-IEEE Transaction Paper 2013Yadhu Kiran
Abstract—An increasing number of databases have become web accessible through HTML form-based search interfaces. The data units returned from the underlying database are usually encoded into the result pages dynamically for human browsing. For the encoded data units to be machine processable, which is essential for many applications such as deep web data collection and Internet comparison shopping, they need to be extracted out and assigned meaningful labels. In this paper, we present an automatic
annotation approach that first aligns the data units on a result page into different groups such that the data in the same group have the same semantic. Then, for each group we annotate it from different aspects and aggregate the different annotations to predict a final annotation label for it. An annotation wrapper for the search site is automatically constructed and can be used to annotate new result pages from the same web database. Our experiments indicate that the proposed approach is highly effective.
THis ppt gives you information on water mision
it highlights the ideas of :-
1) conserving
2) recycling
3) problems faced by people
4)info on water mission
5)helps you complete your h.w ;)
thanx for watching
Моя прошлогодняя работа в Британке (kick-off), которая так и не зажила отдельной жизнью, но, может, кого-то вдохновит на дальнейшие подвиги. Я проектировала сервис с точки зрения пользователя, каким он мог бы быть с учетом пользы для отдельно взятого горожанина, и с учетом опыта мобильного американского сервиса 311.
Prezentacja powstała na zajęcia z przygotowania kulturalno-pedagogicznego, które realizowane są w ramach projektu "Międzynarodowy dialog zawodowy".
Projekt realizowany jest w ramach programu Erasmus+.
Standard Safeguarding Dataset - overview for CSCDUG.pptxRocioMendez59
13 July, 2023 - CSCDUG Online Event
Presenting the Sector-led Standard Safeguarding Dataset
Colleagues from Data to Insight, the LA-led service for children’s safeguarding data professionals, are delivering a DfE-funded project in partnership with LAs to define a new “standard safeguarding dataset” which all LAs will be able to produce from their safeguarding information systems.
At this session, they shared what they’ve learned so far from user research with LA colleagues and discussed their early thinking about what a better standard dataset might look like. Participants shared their own thoughts about how to improve these systems and processes.
Presenters
Alistair Herbert
Alistair is the lead officer for Data to Insight, the LA-led service for children’s safeguarding data professionals. With a career focused on local authority children’s services data work, he knows about safeguarding data, information systems, and cross-organisation collaboration.
John Foster
John is a Data Manager for Data to Insight. He has supported a range of children’s services data work, most recently at Shropshire Council. He led Data to Insight’s project to introduce the first national benchmarking dataset for Early Help, and is the user research lead for Data to Insight’s Standard Safeguarding Dataset project.
Rob Harrison and Joe Cornford-Hutchings
Rob and Joe are new Data Managers joining Data to Insight from the private and public sector respectively. They bring between them a wealth of experience and technical expertise, and will be working together to support design and implementation of the new Standard Safeguarding Dataset through 2023-24.
ONS Local has been established by the Office for National Statistics (ONS) to support evidence-based decision-making at the local level. We aim to host insightful events that connect our users with exciting developments happening in subnational statistics and analysis at the ONS and across other organisations.
In April 2022, as the impact of increases in the Cost of Living really came to the forefront, Public Health & Communities, Suffolk County Council published a Cost of Living profile as part of the Joint Strategic Needs Assessment.
Alongside a written Cost of Living report ‘Making ends meet: The cost of living in Suffolk’, an interactive dashboard was also created using Power BI. In addition to internal data flows, publicly available data from sources such as the ONS have been used to provide a rich picture of the current situation for the local community.
The dashboard was developed in order to:
• Provide up to date data and information on the Cost of Living for Suffolk County Council, partner organisations, and members of the public.
• Deliver an interactive tool to allow users to focus on areas most relevant to them.
• Demonstrate that, while increases in the cost of living affect everyone, impact will be greatest for those who are already under financial pressure, exacerbating inequalities.
• Provide a source of actionable insight to support the system with the evidence base needed to support project development, drive change and really make a difference in the community.
Features of the dashboard:
• Place-focused - published at smaller geographies where possible
• Collaborative - Includes local data from across the system such as data shared by Citizens Advice and other system partners.
• Automated - Most data sources have automated connections, meaning there is little manual intervention required.
• Self-Service - Making the report publicly available puts data at the fingertips of colleagues, system partners and members of the public.
• Live - The dashboard is a living report which is frequently updated.
This session will:
• Provide a demonstration of Suffolk County Council’s Cost of Living dashboard
• Give an overview of data sources
• Explore opportunities for automation using Power BI
• Discuss how the data dashboard is used locally
This event is open to all; however, we anticipate it will be of most interest to anyone working on cost of living dashboards at the local level.
If you have any questions, please contact ons.local@ons.gov.uk.
Enabling Self-service Data Provisioning Through Semantic Enrichment of Data |...Ahmad Assaf
Publicly available datasets contain knowledge from various domains such as encyclopedic, government, geographic, entertainment and so on. The increasing diversity of these datasets makes it difficult to annotate them with a fixed number of pre-defined tags. Moreover, manually entered tags are subjective and may not capture their essence and breadth. We propose a mechanism to automatically attach meta information to data objects by leveraging knowledge bases like DBpedia and Freebase which facilitates data search and acquisition for business users.
Linked Open Data (LOD) has emerged as one of the largest collections of interlinked datasets on the web. In order to benefit from this mine of data, one needs to access to descriptive information about each dataset (or metadata). This metadata enables dataset discovery, understanding, integration and maintenance. Data portals, which are datasets' access points, offer metadata represented in different and heterogeneous models. We first propose a harmonized dataset model based on a systematic literature survey that enables complete metadata coverage to enable data discovery, exploration and reuse by business users. Second, rich metadata information is currently very limited to a few data portals where they are usually provided manually, thus being often incomplete and inconsistent in terms of quality. We propose a scalable automatic approach for extracting, validating, correcting and generating descriptive linked dataset profiles. This approach applies several techniques in order to check the validity of the metadata provided and to generate descriptive and statistical information for a particular dataset or for an entire data portal.
Traditional data quality is a thoroughly researched field with several benchmarks and frameworks to grasp its dimensions. Ensuring data quality in Linked Open Data is much more complex. It consists of structured information supported by models, ontologies and vocabularies and contains queryable endpoints and links. We propose an objective assessment framework for Linked Data quality based on quality metrics that can be automatically measured. We further present an extensible quality measurement tool implementing this framework that helps on one hand data owners to rate the quality of their datasets and get some hints on possible improvements, and on the other hand data consumers to choose their data sources from a ranked set.
Linking HPC to Data Management - EUDAT Summer School (Giuseppe Fiameni, CINECA)EUDAT
EUDAT and PRACE joined forces to help research communities gain access to high quality managed e-Infrastructures whose resources can be connected together to enable cross-utilization use cases and make them accessible without any technical barrier. The capability to couple data and compute resources together is considered one of the key factors to accelerate scientific innovation and advance research frontiers. The goal of this session was to present the EUDAT services, the results of the collaboration activity achieved so far and delivers a hands-on on how to write a Data Management Plan or DMP. The DMP is a useful instrument for researchers to reflect on and communicate about the way they will deal with their data. It prompts them to think about how they will generate, analyse and share data during their research project and afterwards.
Visit: https://www.eudat.eu/eudat-summer-school
La World Wide Web Foundation creó un “índice de la web”, que intenta medir el crecimiento, utilidad e impacto de internet en las personas y los países. El estudio se desarrolló en 61 países, incorporando indicadores referidos a políticas, economía e impacto social de la web, como también conectividad e infraestructura.
Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...Citadelh2020
CITADEL is a H2020 European project that is creating an ecosystem of best practices, tools, and recommendations to transform Public Administrations (PAs) via an inclusive approach in order to provide stakeholders with more efficient, inclusive and citizen-centric services. The CITADEL ecosystem will allow PAs to use what they already know plus new data to implement what really matters to citizens in order to shape and co-create more efficient and inclusive public services. CITADEL innovates by using ICTs to find out why citizens stop using public services, and use this information to re-adjust provision to bring them back in. Also, it identifies why citizens are not using a given public service (due to affordability, accessibility, lack of knowledge, embarrassment, lack of interest, etc.) and, where appropriate, use this information to make public services more attractive, so they start using the services.
The DataTank, a tool designed and developed by IMEC’s IDLab, will be extended to provide the Data Harvesting/Curation/Fusion (DHCF) component of the platform. The DataTank provides an open source, open data platform which not only allows publishing datasets according to standardised guidelines and taxonomies (DCAT-AP), but also transforms the data into a variety of reusable formats. The extension will include an intelligent way of harvesting and fusion of different data sources using semantics and Linked Data mapping technologies developed by IDLab. In the context of CITADEL the new HCF component will enable the visualization and analysis of trends for the usage of public services in European cities, playing a key role in generating personalized recommendations to the citizens as well as to PAs in terms of suggesting improvements to the current suite of public services.
https://twitter.com/Citadelh2020
https://twitter.com/gayane_sedraky
https://twitter.com/imec_int
https://twitter.com/IDLabResearch
Data Harvesting, Curation and Fusion Model to Support Public Service Recommen...Gayane Sedrakyan
CITADEL is a H2020 European project that is creating an ecosystem of best practices, tools, and recommendations to transform Public Administrations (PAs) via an inclusive approach in order to provide stakeholders with more efficient, inclusive and citizen-centric services. The CITADEL ecosystem will allow PAs to use what they already know plus new data to implement what really matters to citizens in order to shape and co-create more efficient and inclusive public services. CITADEL innovates by using ICTs to find out why citizens stop using public services, and use this information to re-adjust provision to bring them back in. Also, it identifies why citizens are not using a given public service (due to affordability, accessibility, lack of knowledge, embarrassment, lack of interest, etc.) and, where appropriate, use this information to make public services more attractive, so they start using the services.
The DataTank, a tool designed and developed by IMEC’s IDLab, will be extended to provide the Data Harvesting/Curation/Fusion (DHCF) component of the platform. The DataTank provides an open source, open data platform which not only allows publishing datasets according to standardised guidelines and taxonomies (DCAT-AP), but also transforms the data into a variety of reusable formats. The extension will include an intelligent way of harvesting and fusion of different data sources using semantics and Linked Data mapping technologies developed by IDLab. In the context of CITADEL the new HCF component will enable the visualization and analysis of trends for the usage of public services in European cities, playing a key role in generating personalized recommendations to the citizens as well as to PAs in terms of suggesting improvements to the current suite of public services.
Bridging Data Gaps with a Solid Data Foundation - A Key Imperative for Today’...Denodo
Watch full webinar here: https://bit.ly/3CjoaxS
In this session, the panel will discuss the importance of laying out a solid data foundation for everything digital for any financial institution. The panelists from UFCU and DevFacto will share their journey and agile approach toward data management in a hybrid data environment.
From this session, you will learn how UFCU gained unprecedented agility in data management and built the foundation for a “member 360” view. Devfacto worked with UFCU to design and set up multiple service streams. To streamline cloud adoption, and seamlessly unify cloud and on-premise data sources. Denodo’s Logical Data Platform enabled UFCU with reusable Lego-like building blocks to create different data views for business teams.
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3rpr4La
Data is an insurer’s most valuable asset. Capitalizing on all of that stored and incoming data to draw valuable insights for business decisions is what ultimately makes a competitive difference.
But, insurers face challenges when it comes to modernizing and digitizing their data architectures. Most organizations rely on traditional systems and data integration processes that are time consuming and slow. In addition, as many adopt cloud strategies, these traditional approaches fill the cloud modernization process with downtime and end user frustration.
This is why insurers need a flexible and easily adaptable data integration technology that allows them to keep up with the ever-changing and growing data environment.
Data virtualization is that modern data integration technology. It can support insurers not only on their journey to digitization, but also on their future infrastructure changes and innovations, adding agility, flexibility and efficiency to data architectures. Data virtualization can help insurance companies create 360° views of deals and claims processes as well as gather quick social media or sensor data for on-the-go risk profiling.
Join this on-demand webinar to:
- Find out why data virtualization should be a part of your enterprise data strategy
- See how this technology can help you capitalize on your data
- Hear how many of your peers are already leveraging the Denodo Platform for Data Virtualization and the benefits they’re observing
Talk given at FBK, Trento with my views on how we could progress towards Smarter Cities, those cities that do not only pursue resource efficiency but mainly focus on addressing the citizen actual needs in their daily interactions with the city. This presentation addresses: a) how an enabling platform for Smarter Cities must support developers by providing well-known interfaces and data management languages (REST, JSON and SQL) and b) also end-users by enabling them to contribute with data, still continuously analyzing the quality of their provided data.
eige.europa.eu/gender-statistics/dgs
The database contains gender statistics from all over the European Union (EU) and beyond, at the EU, Member State and European level. It is aimed at providing statistical evidence which can be used to support and complement the European Commission’s (EC) Strategy on Gender Equality.
Web Locker is a platform where the bank customer can keep their things secured.. This website is designing for customer’s security purpose Customer can easily pay their due on online mode.
Similar to Compared Assessment of Foreign Assistance Websites (20)
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Presentation by Jared Jageler, David Adler, Noelia Duchovny, and Evan Herrnstadt, analysts in CBO’s Microeconomic Studies and Health Analysis Divisions, at the Association of Environmental and Resource Economists Summer Conference.
Russian anarchist and anti-war movement in the third year of full-scale warAntti Rautiainen
Anarchist group ANA Regensburg hosted my online-presentation on 16th of May 2024, in which I discussed tactics of anti-war activism in Russia, and reasons why the anti-war movement has not been able to make an impact to change the course of events yet. Cases of anarchists repressed for anti-war activities are presented, as well as strategies of support for political prisoners, and modest successes in supporting their struggles.
Thumbnail picture is by MediaZona, you may read their report on anti-war arson attacks in Russia here: https://en.zona.media/article/2022/10/13/burn-map
Links:
Autonomous Action
http://Avtonom.org
Anarchist Black Cross Moscow
http://Avtonom.org/abc
Solidarity Zone
https://t.me/solidarity_zone
Memorial
https://memopzk.org/, https://t.me/pzk_memorial
OVD-Info
https://en.ovdinfo.org/antiwar-ovd-info-guide
RosUznik
https://rosuznik.org/
Uznik Online
http://uznikonline.tilda.ws/
Russian Reader
https://therussianreader.com/
ABC Irkutsk
https://abc38.noblogs.org/
Send mail to prisoners from abroad:
http://Prisonmail.online
YouTube: https://youtu.be/c5nSOdU48O8
Spotify: https://podcasters.spotify.com/pod/show/libertarianlifecoach/episodes/Russian-anarchist-and-anti-war-movement-in-the-third-year-of-full-scale-war-e2k8ai4
This session provides a comprehensive overview of the latest updates to the Uniform Administrative Requirements, Cost Principles, and Audit Requirements for Federal Awards (commonly known as the Uniform Guidance) outlined in the 2 CFR 200.
With a focus on the 2024 revisions issued by the Office of Management and Budget (OMB), participants will gain insight into the key changes affecting federal grant recipients. The session will delve into critical regulatory updates, providing attendees with the knowledge and tools necessary to navigate and comply with the evolving landscape of federal grant management.
Learning Objectives:
- Understand the rationale behind the 2024 updates to the Uniform Guidance outlined in 2 CFR 200, and their implications for federal grant recipients.
- Identify the key changes and revisions introduced by the Office of Management and Budget (OMB) in the 2024 edition of 2 CFR 200.
- Gain proficiency in applying the updated regulations to ensure compliance with federal grant requirements and avoid potential audit findings.
- Develop strategies for effectively implementing the new guidelines within the grant management processes of their respective organizations, fostering efficiency and accountability in federal grant administration.
Understanding the Challenges of Street ChildrenSERUDS INDIA
By raising awareness, providing support, advocating for change, and offering assistance to children in need, individuals can play a crucial role in improving the lives of street children and helping them realize their full potential
Donate Us
https://serudsindia.org/how-individuals-can-support-street-children-in-india/
#donatefororphan, #donateforhomelesschildren, #childeducation, #ngochildeducation, #donateforeducation, #donationforchildeducation, #sponsorforpoorchild, #sponsororphanage #sponsororphanchild, #donation, #education, #charity, #educationforchild, #seruds, #kurnool, #joyhome
Donate to charity during this holiday seasonSERUDS INDIA
For people who have money and are philanthropic, there are infinite opportunities to gift a needy person or child a Merry Christmas. Even if you are living on a shoestring budget, you will be surprised at how much you can do.
Donate Us
https://serudsindia.org/how-to-donate-to-charity-during-this-holiday-season/
#charityforchildren, #donateforchildren, #donateclothesforchildren, #donatebooksforchildren, #donatetoysforchildren, #sponsorforchildren, #sponsorclothesforchildren, #sponsorbooksforchildren, #sponsortoysforchildren, #seruds, #kurnool
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Compared Assessment of Foreign Assistance Websites
1. Compared Assessment of
Foreign Assistance Websites
Julie Biau Jbiau@brookings.edu
Christine Zhang CYZhang@brookings.edu
Global Economy & Development
Development Assistance and Governance Initiative
3. 2
• Notes on terminology and user profiles
• Evaluation Criteria
• Walkthrough of different interfaces
» Interfaces that are sources of data:
– AidData
– OECD Creditor Reporting System
– IATI Registry
» Interfaces that are visualization platforms:
– US Foreign Assistance Dashboard
– DFID Development Tracker
– IATI apps (OpenAidNL, d-portal, AidView)
Outline
4. 3
• The following terms are used in this analysis to evaluate the
selected websites:
» Clarity: content is easy to locate
» ‘Recently updated’: data is not more than 1-2 years old
» Accuracy : degree to which the data compare to official sources
» Quality : degree to which the data are well organized and reliable (few
missing values, no double counting, etc.)
» Comprehensive: data cover most donor and recipient countries (DAC
donors; 100-200 recipients; all regions)
» Accessible: portal allows free bulk export of data; portal contains
disaggregated data; data is published under an open license
A note on terminology
5. 4
• The usability and relevance of a website varies by who is
using it, and what they are using it for. We distinguish by:
A note on user profiles
Technical
Expertise
Technical users: Someone with strong
data manipulation skills who needs to
download the underlying data in order to
perform detailed analysis (e.g.
Researchers, academics, students)
Everyday users: Someone looking for
summary figures of aid flows from a
given donor to a given country and/or
sector, with no need for further analysis
(e.g. Development practitioners,
government officials, general public)
Geographic Scope
‘Macro’ users: Someone needing
information on aid flows by donor,
country and sector, but not necessarily
interested in project-level information
(e.g. Capitol Hill staffer, USAID regional
office, recipient-country finance ministry)
‘Micro’ users: Someone interested in
project-level information with sub-sector
and sub-national detail, perhaps less
concerned with ‘big picture’ statistics
(e.g. USAID country office, local NGO,
recipient-country line ministry)
6. 5
Criterion 1: Ease of using
interface
Applicable
to
Good Moderate Bad
All users Interface is clear
(making it easy to
find and understand
content), fast, and
has useful data
visualization / query
customization options
Interface lacks
clarity or has
uninformative or
unwieldy data
visualization and
query
customization
options
Interface is very
unclear
(making it very
hard to find
and/or
understand
content) and/or
very slow
Note: the usability of image heavy websites is likely to decline with a limited internet
connection. Simplified versions for slow connections would be useful.
7. 6
Criterion 2: Relevance of ContentApplicable to Good Moderate Bad
Micro users (e.g. donor
agency field office,
recipient country finance
ministry, local NGO)
Content (i) has been recently updated
(1-2 years), (ii) is comprehensive in
terms of country coverage, and (iii) covers
all aspects relevant to the audience, .e.g.:
- Resource flows from all donor
governments to the recipient country
by sector
- Project-level information on activity
within a country by region
- Historical and forward-looking
information
Content covers most aspects
relevant to the audience but has not
been recently updated (3+ years)
and/or is not comprehensive in
terms of country coverage
Content covers few or no
aspects relevant to the
audience
Macro users (e.g. donor
government
congressperson, donor
agency regional office)
Content (i) has been recently updated
(1-2 years), (ii) is comprehensive in
terms of country coverage, and (iii) covers
all aspects relevant to the audience, .e.g.:
- Resource flows from donor
government by source
(ministry/agency)
- Resource flows from donor
government by world region, country
and sector
- Historical and forward-looking
information
Content covers most aspects
relevant to the audience but has not
been recently updated (3+ years)
and/or is not comprehensive in
terms of country coverage
Content covers few or no
aspects relevant to the
audience
Note: this analysis intends to apply equally to donor and recipient-country users;
however poor availability of information in other languages is a limiting factor.
8. 7
Criterion 3: Availability of Data
Applicable to Good Moderate Bad
Technical users
(e.g. researcher,
academic,
economist)
Raw data is available for
download in a readily
usable format (Excel,
SPSS, STATA…) with
minimal user effort (low # of
clicks); file is clearly
organized ; there is
sufficient guidance on the
data (frequency of update,
source, meaning)
Raw data is available
for download in a
readily usable format
with considerable user
effort and/or file is not
clearly organized; there
is some guidance on
the data
Raw data is not
available for
download in a
readily usable
format; there is no
guidance on the
data
Non-technical
users
Data is clearly presented ;
specific statistics can be
accessed with minimal
user effort; there is
sufficient guidance on the
data (frequency of update,
source, meaning)
Data is presented in an
unclear or misleading
fashion; there is some
guidance on the data
Data is difficult to
access; there is no
guidance on the
data
Note: large data files may be difficult to download with a limited internet connection.
Simplified versions for slow connections would be useful.
10. 9
AidData
Clear homepage
allows to navigate
between data
visualization and use
Also allows to obtain
‘quick stats’ by donor,
country and sector,
with historical
information; however
these are very
aggregated and do
not allow to answer a
specific donor-
recipient query
Research tab allows
access to core dataset,
research datasets from
various academic articles,
replication datasets and
geocoded data
Ease of
use: Good
11. 10
Coverage: Good - 100+ recipients for 2010,
80+ donors (fewer in certain years)
Timeliness: Poor - latest update 2012 but
most countries only go to 2011; no forward-
looking information
Relevance of content: Moderate
AidData
Micro: project
level data with
geographic
information is
available, with
factsheets for
each project of
1,322,824.
However these
are hard to filter
or aggregate
across projects.
Macro: Aid visualization option
allows access to several
dashboards, one at the very
macro level (aggregate flows by
donor, recipient, sector, year)…
but these are hard to narrow
down to a specific donor-
recipient-sector query
Relevance of
macro
content:
Moderate
The data needed to answer specific queries for both
micro and macro users (# of donors active in a
given sector of a country, total aid flows from a
donor for a given sector by recipient, etc.) is
available but cannot be easily generated without
downloading the full dataset and manipulating it.
Relevance of
micro
content:
Moderate
12. 11
AidData
Main dataset can be downloaded in csv or in
STATA, making this very useful for technical
users; full dataset is so large that it loads
incompletely in STATA or Excel, and a
statistical transfer software is required;
however the ‘thin’ version and
aggregates versions allow for easier use.
Guidance: Numerous non-
typical datasets are
available for download,
including on Chinese aid
and underreported
financial flows, with full
description of methodology
A variety of datasets in
Excel and STATA can
be downloaded from
recent academic papers
Data for
technical
users: Good
13. 12
AidData
… And downloading the data
from a specific query is
onerous (requires entering
personal information and waiting
for a link to be sent via email)
Detailed search options
exist by whether one is
looking for aggregate or
detailed data, allowing to
select recipient, donor,
sector, and year – but
some of the options are
presented in a confusing
manner and it is unclear
whether certain filters
are mutually exclusive,
or whether they are
working at all ..Search results
are not
presented in a
very useable or
informative
manner (graphs
but no table)
Data for
everyday
users: Bad
14. 13
OECD Creditor Reporting
System
The website not very
user friendly to the
extent that there is no
introduction page and
users are launched
directly into the
dataset, which can be
intimidating with no
overall explanation of
what it is or can do
Clicking on the
information icon next to
a dataset name
generates a useful
explanation of its
contents, however
There is no
explanation of
how the CRS
differs from the
other OECD DAC
datasets also on
this page
Ease of
use:
Moderate
Filter function works well with
many options to customize the
query but it may be unclear to
users that a filter is currently
being applied; queries are
slow to load and website
sometimes freezes
15. 14
OECD Creditor Reporting
System
Macro: Queries are easily customized with a
detailed menu of drop-down options by sector,
recipient, flow, channel, amount type, flow
type, and type of aid. This function allows to
select only some donors and recipients to
arrive at a very specific query (e.g. US
education assistance to Kenya in 2012)
without downloading the full dataset, and also
enables aggregation (e.g. how much are all
donors providing to Kenya in education). Note
that this kind of query is answered in fewer
steps in CRS than on other websites.
Micro: Customization options allow for
more in-depth selection of flows by sector,
recipient and region and enables to
compare the funding that several donors
provide to a given sector in a given
country. However, the information is not
at the project-level or at the sub-
national level so would be of limited
interest to local users. Access to
project-level data requires
downloading the full dataset and
cannot be done through web queries.
Relevance
of macro
content:
GoodRelevance of
micro
content:
Moderate
Coverage: Good – 60+ donors and 180+ recipients
Timeliness: Moderate– includes some information for 2013; more data for 2012
Relevance of content: Good (macro); Moderate (micro)
16. 15
OECD Creditor Reporting
System
Customization and table layout options allow to
display data exactly as it will be most useful for
statistical analysis; but loading is very slow
and selection time consuming / confusing
A bulk download of the full dataset,
including historically, is available to Excel
(however this bulk download option is
hard to locate on the website and the
file is so large that it loads incompletely
in Excel, requiring a statistical transfer
software to download it correctly)
Data for
technical
users: Good
Drop-down filters allow an
at-a-glance check of what
certain queries look like
before the data is
customized and
downloaded.
17. 16
OECD Creditor Reporting
System
Customization options and categories
can be confusing for lay users
Charts and graphs cannot be generated
for data queries that are too large
Data for
everyday
users: Bad
Unless one looks for a specific query,
the website does not provide
aggregate statistics and there are no
data visualizations
Need for more guidance: non-technical
users commonly find CRS data in
summary reports published by the OECD,
rather than by browsing the database.
Website should be clear that it targets
technical users, and provide links to these
summary reports for others.
18. 17
QWIDS (Query Wizard for
International Development
Statistics)
More user friendly display of CRS
data and filters, faster to navigate
and less confusing; ‘popular
queries’ button allows access to
useful aggregated tables without
needing to download the data.
Hosts data from all the main OECD aid
datasets (DAC aggregate tables and CRS)
Data is displayed for the specified query
and can be easily downloaded into Excel;
however this interface remains
complicated and difficult to use (hard
to get numbers to add up).
Improves
ease of use,
but needs
further work
19. 18
IATI Registry
The IATI Registry
consists mainly of a list
of datasets provided by
different aid practitioners
that can be sorted
through with several
filters (source, publisher,
organization type,
recipient country, flow
type). However there is
no way on the Registry
website to aggregate
these datasets or even to
filter them by sector or
type, and no overall
statistics are provided
for lay users.
Some interfaces have been developed by third parties to facilitate use
of the Registry data (particularly d-portal, OpenaidNL and Aidview),
which and we will look at these in turn.
“The data is published in the international IATI
standard which is easy for computers to read,
but very hard for humans”(OpenAid NL).
However, the IATI Registry was not intended for use
as a research tool, but rather as a data repository,
with the expectation that tools for its navigation
would be developed separately.
21. 20
OpenAidNL
Each project has a fact sheet with project
documents, transactions, and other basic
information on budget and implementation.
However, the sector links and ‘export’
button do not work.
Presents the Registry’s project-level information in a
format that would be very useful to local actors seeking to
know which sectors are being funded in which parts of the
country by the Netherlands Projects can be filtered by
country. However these cannot be readily aggregated
in a single dataset and have limited search options.
Filters at the top of the homepage
allows to filter by country, region,
sector, and budget, with a detailed
drop-down menu for each
dimension. Filtering produces a list
of projects in the selected fields.
Ease of
use: Good
22. 21
OpenAidNL
Each project has a fact sheet
with project documents,
transactions, and other basic
information on budget and
implementation, which is quite
useful for project-level queries.
However, the sector links and
‘export’ button do not work,
and projects cannot be
aggregated.
Relevance of
micro
content:
Moderate
Presents the Registry’s project-level information in a
format that would be very useful to local actors seeking to
know which sectors are being funded in which parts of the
country by the Netherlands Projects can be filtered by
country. However these cannot be readily aggregated
in a single dataset or into country totals, making the
information of limited use for macro queries.
Coverage: Poor – covers >2000 activities but just for Netherlands
Timeliness: Good – updated every 3 months
Relevance of content: Moderate/Bad
Relevance
of macro
content:
Bad
Data cannot be aggregated
beyond the project level or
downloaded into excel (links are
broken)
No overall statistics for everyday
users to refer to
Data for
everyday
users: Bad
Data for
technical
users: Bad
23. 22
d-portal.org
“click & scroll”
Ease of
use: Good
HOMEPAGE
RECIPIENT PROFILE PAGE:
CAMBODIA
d-portal presents IATI data by recipient
country
“click&scroll” model makes it easy to click
and scroll through project-level info
24. 23
d-portal.org
Cambodia example
VERY MACRO LEVEL
WHERE DOES THE MONEY COME FROM?
WHERE DOES THE MONEY GO?
ACTIVE PROJECTS+
RECENTLY ENDED PROJECTS
Macro: able to attain high-level & detail
information on projects in Cambodia.
Can filter by exact location (if provided),
donor, and sector. Cannot filter by
project size or year. 2012 = most recent
year (not forward-looking)
Both:
d-portal identifies US funding to Cambodia
as 88mn according to CRS but 0 according
to IATI. This is because of insufficient
reporting by donor into IATI.
Micro: clicking on an
individual donor is confusing
because it lists ALL projects
(ranked by size), regardless
of year
INTERMEDIATE LEVEL
MICRO LEVEL
Coverage: moderate – only allows searches by recipient country
Timeliness: moderate – data until 2012
Relevance of content: moderate/bad – confusing due to data gaps Relevance
of micro
content:
Bad
Relevance of
macro
content:
Moderate
25. 24
d-portal.org
Cambodia example
Data for
technical
users: Bad
Data for
everyday
users:
ModerateBoth: One important note is that the info is
organized by recipient country. So there is
no way to see all recipients on one page.
Micro: data is only “downloadable” by
clicking on a given project, then “view
source,” which generates an (unhelpful
for manipulation) xml file that requires a
CSV conversion tool to transfer into Excel.
This tool should be listed on the site.
Macro: layout is user-friendly but not
always clearly organized (e.g., donors
are by agency rather than country)
26. 25
AidView
Can filter projects by recipient country, sector or
organization/donor. Filter by sector leads to
projects grouped by sector and then by
subsector. Buttons allow to sort projects
alphabetically or by budget size
Two things are misleading here: once at the
subsector level, each bubble is an individual
activity, not a collection of projects in that
subsector; and each screen only lists a handful
of projects, rather than a comprehensive
mapping for that sector, so that the user has to
navigate through many screens (in the case of
education, 126) to see the full list of projects.
The use of bubbles and apparent grouping is
therefore actually not a map, and conveys no
more informative than using a simple listing of
the projects by size (not an aggregation).
Ease of
use: Bad
Results can also be viewed on map or as list but navigation
between layouts and filters is very slow, sometimes
resulting in an error message (with no way back!)
27. 26
AidView
A useful feature for micro and macro users is that
the searches can be overlaid: here the screen is
showing all projects financed by the World Bank
to Bangladesh in education. However this
requires applying each filter successively on
different webpages, which is more time
consuming than selecting the desired
combination from a drop down menu.
Relevance
of micro
content:
Good
Relevance of
macro
content:
Moderate
Coverage: Good: allows to search full IATI database covering 3000
activities, over 160 donors, and a large range of recipient countries.
Timeliness: Good – includes forward looking information (projects still in
planning stage); but some visualizations may need updating
Relevance of content: Good/Moderate
Project factsheets are very
detailed, with project
description, transactions,
budget, implementing
agency, partner agencies,
contact details, and link to
main project documents.
When more than one
dimension
(country/sector/organization)
is selected, the ‘datafile’
option becomes active and
presents information within
those filters (e.g. all basic
education projects in
Argentina) with some level
of aggregation. This is
especially useful for micro
users.
28. 27
AidView
IATI information at the project level can be
downloaded into Excel from the project factsheet.
However the downloading option is
not available at any level other than
the project level (data from factsheets
at a country-sector level, for example,
cannot be downloaded into excel).
Hence this is not a large improvement
over downloading project information
straight from the IATI registry, where it is
also available on a project by project
basis.
Data for
technical
users: Bad
Data for
everyday
users:
Moderate
When more than
one dimension
(country/sector/orga
nization) is selected,
the ‘datafiles’
present some
summary statistics
that can be useful to
everyday users.
The bubble view gives overall
volumes per sector, country or donor.
29. 28
US Foreign Assistance
Dashboard
The website is user
friendly and well laid out,
allowing users through
its ribbon and tabs to
understand quite easily
what kind of information
it can provide in its
different sections
(foreign assistance by
agency, by country
office, by initiative; data
at aggregated or
transaction level; notes
on methodology…).
Information is available
on maps and charts as
well as tables.
Ease of
use:
Moderate
However, the multiplicity of places
to look for information – with
different cuts of the data presented
on different pages rather than all in
one place – can make it hard to
understand exactly where to go to
answer a specific query. A lot of
navigation required.
30. 29
US Foreign Assistance
Dashboard
The dashboard allows to
explore data, including
aggregate planned spending,
by country office, agency and
fiscal year.
Coverage: Poor – only one donor
Timeliness: Good – includes information for 2013 (spent) and 2014/5 (planned)
Relevance of content: Good
The country office and sector pages also give
project/transaction-level information for that country,
by sector, year and agency (downloadable in Excel)
Clicking on a transaction accesses a detailed
project page. However, data could also be linked
to other relevant sources, e.g. MCC transaction-
level data, geocoded data from USAID or
information from FBO on tenders.
This includes data
on planned spending
(2014/5), which is
not usually available
on aid websites
Relevance of
micro
content:
Moderate
Relevance of
macro
content:
Moderate
31. 30
US Foreign Assistance
Dashboard
Note: data is not yet available for every
agency but this is work in progress. The
fact that State Department spending
is not yet on the website means that
the information is a very incomplete
picture of US aid flows.
Full dataset is easily available for download in
Excel at transaction-level and at aggregate level.
Data is available until 2015 with information on
agency, operating unit, sector, and amount.
Data for
technical
users: Good
32. 31
US Foreign Assistance
Dashboard
Some useful aggregations are available under
the ‘where is the money going?’ tab, where
spending figures and charts can be obtained
by office, by recipient country or region, by
sector, and by agency.
Data for
everyday
users: Good
Sector and country specific breakdowns with their own
summary statistics allow to answer specific queries (e.g. how
much education assistance is the US providing to Kenya)
without downloading the full dataset).
Guidance: website provides some explanation on terminology
used; but further clarity on US-specific budget terminology
could make this clearer to external audience.
33. 32
DFID Development Tracker
Clear homepage with
a search bar allowing
to search projects by
keyword
Top statistics and
achievements are
useful for those
looking for an
overview of UK aid
Ease of
use: Good
Quick access to
searching for projects
by location or by
sector, with some data
visualization
34. 33
DFID Development TrackerMicro: For more detail, a country’s project list can
be filtered by status, sector, agency, budget, and
date, and directs the user to project factsheets.
Project factsheets also contain separate tabs with
information on transactions and project documents.
Relevance
of micro
content:
Good
Macro: Presents summary information
on the country before going to the
project-by-project detail: total budget
and total number of projects; also
allows to search for regional projects
Relevance
of macro
content:
Good
Coverage: Poor – only one donor
Timeliness: Good – information on planned projects up to start date of 2018
Relevance of content: Good
Each country has a fact sheet
with summary of ongoing
projects by budget and sector
35. 34
DFID Development Tracker
Macro: Presents summary information
on the each sector (share of total
budget) before going to the sector-by-
sector detail: also allows to sort sectors
by name and budget %
Each sector is organized into detailed sub sectors
Relevance
of micro
content:
Good
Relevance
of macro
content:
Good
Micro: Each sub-sector has a project list that can be filtered by
status, sector, agency, budget, and date, and directs the user to
individual project factsheet. Project factsheets also contain separate
tabs with information on transactions and project documents.
Importantly, there is also information on implementing
organizations (i.e. subcontractors). This level of detail is unique
amongst the websites reviewed, and important for traceability.
Coverage: Poor – only one donor
Timeliness: Good – information on planned projects up to start date of 2018
Relevance of content: Good
36. 35
DFID Development Tracker
However, this link leads to an
xml file that requires a CSV
conversion tool to transfer into
Excel. The website should make
clear to users how to use this
tool, or should provide data
directly in Excel (insufficient
guidance).
Data for
technical
users: Bad
Each project and
country factsheet has a
button allowing
download of IATI data
for that project
The only option to download the full dataset is to access the Annual Report
Excel files, which are poorly advertised on the main website. Main website
has no functionality to sort and filter data other than at the project level. For
example an everyday user looking for the budget going to a specific country and
sector would need to manually add the budgets of all individual projects in that
category.
Data for
everyday
users:
Moderate
38. 37
EASE OF
USE
RELEVANCE OF
CONTENT –
MICRO
RELEVANCE OF
CONTENT –
MACRO
DATA FOR
TECHNICAL
USERS
DATA FOR
EVERYDAY
USERS
AidData
OECD Creditor Reporting
System
US Foreign Assistance
Dashboard
DFID Development Tracker
OpenAidNL
d-portal.org
AidView
Bad
Moderate
Good
Summary Table
39. 38
Summarizing…
• Visualization ≠ Value
» Data visualizations must be useful in addition to aesthetically pleasing; excessively image-
heavy sites can be difficult to navigate with limited internet connection
• Aggregation is important
» It is often difficult to find totals (by donor/recipient country or by sector), unless one
downloads the entire dataset (if it is available on the site)
• Who is the audience?
» Everyday Users versus Tech-Savvy users
» Sometimes it can’t (or shouldn’t) be both… but this should be made clear at the outset
• Looking forward…
» Planned in addition to disbursed aid – so recipients can plan ahead (greater predictability)
» Outputs (project results) in addition to inputs (project budgets)
» Data can only be as robust as a donor presents it (must increase reporting)