登录查看更多内容

What are the most useful data sources for public policy analysis?

由人工智能和领英社区提供技术支持

Public policy analysis is the process of evaluating the design, implementation, and impact of public policies, programs, and interventions. As a public administrator, you need to use reliable and relevant data sources to inform your analysis and decision making. But what are the most useful data sources for public policy analysis? In this article, we will discuss some of the common types and sources of data that you can use, as well as some of the advantages and challenges of each.

此文章中的业界达人

由社区从 8 条内容中精选。了解更多

Pallavi Mahajan

Oxford MBA | United Nations | Published Author | Chevening Scholar | Forté Fellow | TedX Speaker
Josbertini Clementino

Especialista e Consultor em RelGov l Gest?o de Projetos e Stakeholders l Políticas Públicas l Consultoria em Rela??es…
Oliver Contla

Diplomático Mexicano | Economía y Comercio en la Embajada de México en Alemania | Vicepresidente del CWHR

1 Administrative data

Administrative data are the records and transactions generated by public agencies and organizations in the course of their operations. Examples of administrative data include tax records, social security records, health records, education records, and crime records. Administrative data can provide rich and detailed information on the characteristics, behaviors, and outcomes of the populations and groups affected by public policies. However, administrative data also have some limitations, such as data quality issues, privacy and confidentiality concerns, and lack of comparability across different sources.

添加您的观点

Pallavi Mahajan

Oxford MBA | United Nations | Published Author | Chevening Scholar | Forté Fellow | TedX Speaker
举报内容
Government agencies at the local, state, and national levels collect and maintain vast amounts of data on various policy-relevant topics, such as demographics, economics, health, education, crime, transportation, and environmental quality. Surveys and polls conducted by government agencies, research organizations, universities, and polling firms provide valuable insights into public opinions, attitudes, behaviors, and preferences related to policy issues. Academic journals, research publications, and scholarly databases contain a wealth of data and analysis on various policy topics, theories, and methodologies. Think tanks, briefs, and data sets on a wide range of policy issues, offering independent analysis and policy recommendations.

已翻译

赞
Charalampos Ioannou

Legal Advisor in Hellenic Ministry of National Defence | MSc (Cand.) European Law and Economics | Stocks trading
举报内容
Especially policymakers in economics can retrieve data from organizations such as the IMF, OECD, World Bank, and Eurostat. These data can be used to identify new trends and detect correlations between economic and social data.

已翻译

赞
Josbertini Clementino

Especialista e Consultor em RelGov l Gest?o de Projetos e Stakeholders l Políticas Públicas l Consultoria em Rela??es Institucionais e Governamentais l Conselheiro de Administra??o IBGC l Regulatório l Advocacy
(已编辑)
举报内容
Combine dados de diferentes fontes para obter uma vis?o holística dos temas que você está investigando. Utilize técnicas estatísticas para analisar os dados e identificar padr?es e tendências relevantes. Comunique os resultados da análise de forma clara e concisa por meio de visualiza??es e dashboards.

已翻译

赞

2 Survey data

Survey data are the responses collected from individuals or households through questionnaires, interviews, or observations. Examples of survey data include census data, labor force surveys, household surveys, and opinion polls. Survey data can provide valuable insights into the preferences, attitudes, opinions, and experiences of the public and the stakeholders of public policies. However, survey data also have some challenges, such as sampling bias, response bias, measurement error, and high costs and time requirements.

添加您的观点

Josbertini Clementino

Especialista e Consultor em RelGov l Gest?o de Projetos e Stakeholders l Políticas Públicas l Consultoria em Rela??es Institucionais e Governamentais l Conselheiro de Administra??o IBGC l Regulatório l Advocacy
举报内容
As pesquisas permitem que o público tenha voz e participe do processo decisório. Os dados da pesquisa podem ser usados para monitorar e avaliar o desempenho de governos e empresas. As pesquisas contribuem para a constru??o de uma sociedade mais democrática e participativa.

已翻译

赞

3 Experimental data

Experimental data are the data obtained from controlled experiments that manipulate one or more variables to measure their effects on another variable. Examples of experimental data include randomized controlled trials, field experiments, and natural experiments. Experimental data can provide strong evidence of causality and effectiveness of public policies, programs, and interventions. However, experimental data also have some drawbacks, such as ethical issues, feasibility constraints, external validity issues, and potential spillover effects.

添加您的观点

Josbertini Clementino

Especialista e Consultor em RelGov l Gest?o de Projetos e Stakeholders l Políticas Públicas l Consultoria em Rela??es Institucionais e Governamentais l Conselheiro de Administra??o IBGC l Regulatório l Advocacy
举报内容
Os resultados de experimentos podem ser generalizados para popula??es maiores, ampliando o alcance de suas conclus?es. Experimentos fornecem insights valiosos para aprimorar políticas, programas e interven??es, tornando-os mais eficazes e eficientes. A coleta de dados experimentais contribui para o avan?o do conhecimento científico em diversas áreas.

已翻译

赞

4 Big data

Big data are the large and complex datasets that are generated by various sources, such as digital platforms, sensors, social media, and satellite imagery. Examples of big data include web analytics, geospatial data, social network data, and text data. Big data can offer new opportunities and insights for public policy analysis, such as real-time monitoring, predictive analytics, sentiment analysis, and network analysis. However, big data also have some challenges, such as data availability and accessibility, data quality and veracity, data security and privacy, and data analysis and interpretation skills.

添加您的观点

Oliver Contla

Diplomático Mexicano | Economía y Comercio en la Embajada de México en Alemania | Vicepresidente del CWHR
举报内容
In public policy analysis, the utility of data sources hinges on the analysis objectives. Big data, facilitated by advancements in AI and algorithms, stands out for enabling comprehensive insights into policy effectiveness, impacts, and necessary adjustments. By intgrating diverse datasets -ranging from social media analytics to government databases- big data allows for a holistic view of policy landscapes. However, the efficacy of such analysis also depends on addressing challenges like data privacy and ethical considerations. Traditional data sources and stakeholder engagement remain vital, ofering depth and qualitative insights that complement big data's broader perspective.

已翻译

赞
Josbertini Clementino

Especialista e Consultor em RelGov l Gest?o de Projetos e Stakeholders l Políticas Públicas l Consultoria em Rela??es Institucionais e Governamentais l Conselheiro de Administra??o IBGC l Regulatório l Advocacy
举报内容
Explore a diversidade de fontes de big data, como plataformas digitais, sensores, mídias sociais e imagens de satélite. Obtenha insights profundos sobre os comportamentos, tendências e padr?es da sociedade, em tempo real. Utilize o big data para identificar áreas de melhoria e avaliar a efetividade de políticas e programas públicos de forma preditiva.

已翻译

赞

5 Mixed data

Mixed data are the data that combine different types of data, such as quantitative and qualitative data, or primary and secondary data. Examples of mixed data include case studies, focus groups, interviews, and document analysis. Mixed data can enhance the validity, reliability, and comprehensiveness of public policy analysis, as well as capture the diversity and complexity of the policy issues and contexts. However, mixed data also have some difficulties, such as data integration and synthesis, data consistency and compatibility, and data triangulation and validation.

As you can see, there is no single best data source for public policy analysis. Each data source has its own strengths and weaknesses, and you need to consider the purpose, scope, and quality of your analysis, as well as the availability and suitability of the data. By using multiple and complementary data sources, you can improve your public policy analysis and make better informed and evidence-based decisions.

添加您的观点

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Josbertini Clementino

Especialista e Consultor em RelGov l Gest?o de Projetos e Stakeholders l Políticas Públicas l Consultoria em Rela??es Institucionais e Governamentais l Conselheiro de Administra??o IBGC l Regulatório l Advocacy
举报内容
Capacite os servidores públicos para que utilizem os dados de pesquisa de forma eficaz. Promova uma cultura de dados no setor público, incentivando a coleta, análise e utiliza??o de dados para a tomada de decis?es. Compartilhe dados de pesquisa com a sociedade civil para promover a transparência e o accountability.

已翻译

赞

Public Administration

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

What are the most useful data sources for public policy analysis?

1

2

3

4

5

6

1 Administrative data

2 Survey data

3 Experimental data

4 Big data

5 Mixed data

6 Here’s what else to consider

Public Administration

给文章评分

感谢您的反馈

更多Public Administration相关文章

更多相关阅读内容