Using Science to Build Tribal Capacity for Data-Intensive Research

利用科学建立部落进行数据密集型研究的能力

• 批准号: 1439605
• 负责人: Yvette Roubideaux
• 金额: $ 56.67万
• 依托单位: National Congress of American Indians Fund
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2019-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1439605&HistoricalAwards=false
• 关键词: Using; Science; Build; Tribal; Capacity

The federal government has a trust responsibility to tribal nations that is implemented through federal statutes and programs intended to promote economic self-sufficiency and the distinct sovereign status of tribal nations and their people. Quality, tribal-level data is essential for ensuring the federal trust and for informing the work of tribal leaders to strengthen their governments. Within this broader context, this project will improve tribal data quality and capacity for data-intensive research by building a data network of tribes, social scientists and federal policymakers; assisting with ongoing tribal data collection designed to improve the reliability, validity, and long-term sustainability of tribal data; and by using the Census Bureau?s Research Data Centers to provide tribes with data better aligned to tribal boundaries and tribal needs. The broader impacts of this work are far reaching and include: 1) Improved data collection and analyses to assist tribes to better meet the needs of the Native populations they serve; 2) Strengthened tribal data infrastructure so that comparative analyses can be developed and policy based on more than individual tribal cases; 3) New insights for social science research about American Indian and Alaska Native (AI/AN) demographic characteristics through real-world data experiences of tribes; 4) Solutions to data security and confidentiality issues facing tribal governments; and 5) Insights for emerging international conversations about data linkage and Indigenous identification in large data sets, amongst others.The United States boasts unmatched scientific capacity, but it has long failed to provide even the most basic enumeration of AI/AN people. Despite thorough documentation that this population is at great risk of poverty and the problems that flow from poverty, detailed information about labor force participation, social service needs, educational attainment, and related information is sparse and unreliable. Enumeration issues involve those related to indicator fit for tribal populations, those related to generating appropriate geographic boundaries for tribal data, and those related to the actual collection of tribal data for measurement purposes. This project is designed to address enumeration issues using a participatory approach to research. It explores the question of how to improve the quality of tribal-level data collection, reporting, and management to assist tribal leaders, federal policymakers, and social scientists. The project will utilize multiple methods, including qualitative data collection and analysis through interviews and focus groups, quantitative analysis of secondary data collected from the Census Bureau?s Research Data Centers and from, and survey data collection by partner tribes. The goal is to produce a range of tools and resources to improve tribal-level data collection and use, including a survey template that could be used by tribal nations and federal agencies like the Census Bureau and the Department of the Interior to supplement existing person-level data collection from American Indian and Alaska Native people.

联邦政府对部落民族负有信托责任，通过旨在促进经济自给自足和部落民族及其人民独特主权地位的联邦法规和方案来实施。 部落一级的高质量数据对于确保联邦的信任和为部落领导人加强其政府的工作提供信息至关重要。在这一更广泛的背景下，该项目将通过建立部落、社会科学家和联邦政策制定者的数据网络，协助正在进行的旨在提高部落数据可靠性、有效性和长期可持续性的部落数据收集工作，以及利用人口普查局，提高部落数据的质量和数据密集型研究的能力。的研究数据中心，为部落提供更好地符合部落边界和部落需求的数据。这项工作的广泛影响深远，包括：⑴改进数据收集和分析，以协助各部落更好地满足其所服务的土著居民的需要; ⑵加强部落数据基础设施，以便能够进行比较分析，并根据部落个案以外的情况制定政策; 3）通过部落的真实数据经验，为关于美国印第安人和阿拉斯加原住民（AI/AN）人口统计特征的社会科学研究提供新的见解; 4）部落政府面临的数据安全和保密问题的解决方案;以及5）对正在出现的关于大数据集中的数据链接和土著识别的国际对话的见解。美国拥有无与伦比的科学能力，但长期以来，它甚至没有提供最基本的人工智能/人工智能人的枚举。尽管有详尽的文献资料表明，这一人口面临着很大的贫困风险和贫困带来的问题，但有关劳动力参与、社会服务需求、教育程度和相关信息的详细信息却很少，也不可靠。枚举问题涉及与指标是否适合部落人口有关的问题、与为部落数据确定适当地理边界有关的问题以及与为计量目的实际收集部落数据有关的问题。该项目旨在采用参与性研究方法解决查点问题。它探讨了如何提高部落层面的数据收集，报告和管理的质量，以协助部落领袖，联邦决策者和社会科学家的问题。该项目将利用多种方法，包括通过访谈和焦点小组收集和分析定性数据，对从人口普查局收集的二手数据进行定量分析？的研究数据中心，并从，调查数据收集的合作伙伴部落。目标是开发一系列工具和资源，以改善部落一级的数据收集和使用，包括一个调查模板，可供部落国家和人口普查局和内政部等联邦机构使用，以补充现有的美洲印第安人和阿拉斯加土著人的个人数据收集。