研究政策中的大学开放性与土著数据主权不一致的导航:案例分析
Molly Wick1, Deanna Erickson2, Joel Hoffman3
1PhD candidate at the University of Minnesota Duluth and a student trainee at the U.S. Environmental Protection Agency Great Lakes Toxicology and Ecology Division.
Ethics & human research
|March 6, 2024
概括
忽视土著主权权的大学研究政策可能会推迟重要研究. 需要进行修订,以确保部落国家的道德合作和数据所有权.
科学领域:
- 环境科学 环境科学
- 土著研究土著研究.
- 数据治理数据治理
背景情况:
- 原住民国家拥有主权权,可以控制他们社区和资源产生的数据.
- 大学的"研究开放"政策往往优先考虑机构数据控制,这可能与部落主权相冲突.
- 过去不道德的研究做法导致土著社区建立数据所有权政策.
研究的目的:
- 检查数据所有权政策冲突对圣路易斯河河口文化生态系统服务的大学主导研究的影响.
- 突出大学的开放研究政策如何阻碍与土著国家的合作,当土著主权没有明确解决.
主要方法:
- 关于圣路易斯河口 (Nagaajiwanaang) 的文化生态系统服务的合作研究,涉及一所大学和当地一支Ojibwe乐队.
- 基于大学的"研究开放"政策和乐队的数据所有权政策,分析数据所有权要求.
主要成果:
- 由于大学和乐队之间关于数据所有权的争议,研究项目延迟了近一年.
- 该研究表明,缺乏对土著主权的考虑的开放研究政策阻碍了合作研究努力.
- 大学和部落数据治理框架之间的差异造成了重大研究协调挑战.
结论:
- 必须修订大学的开放研究政策,明确纳入和尊重土著主权,以促进公平的合作.
- 与主权部落政府一起采用伦理研究的正式原则,对于改善大学和部落国家之间的信任和协调至关重要.
- 解决数据所有权和主权问题对于推进有利于土著社区和学术机构的研究至关重要.
更多相关视频
08:53Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
5.2K
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
3.5K
相关概念视频
01:40Archival Research
16.0K
Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
16.0K
01:56Ethics in Research
23.0K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
23.0K
01:11Statistical Analysis: Overview
6.6K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
6.6K
01:03Drug Control Governance: Regulatory Bodies and Their Impact
158
Drug control governance involves the oversight and regulation of pharmaceuticals to ensure their safety and efficacy while preventing illegal drug use and trafficking. Regulatory bodies, including the US Food and Drug Administration (FDA) and the European Union's European Medicines Agency (EMA), play a central role in this process. These agencies evaluate the safety and efficacy of drugs before they can be marketed. They fund clinical trials and assess the benefits and risks associated with...
158
01:11Variability: Analysis
143
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
143
01:12Analysis of Population Pharmacokinetic Data
254
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
254