Self reported pain data for multiple populations
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This repository contains datasets related to: Industrialization and low back pain among two traditionally small-scale subsistence societies Ian J. Wallace, Steven Worthington, My Linh Huynh-Lucero, Julien F. Ayroles, Kumaresh Louis Christopher, Kamal Solhaimi bin Fadzil, David T. Felson, Michael Gurven, Brian W. Hainline, Edwin Ser Ze Heng, Nicholas B. Holowka, Janet L. Huebner, Echwa John, Tuhina Neogi, Colin Nicholas, Patricia Kinyua, Virginia B. Kraus, Yvonne A. L. Lim, Dino Martins, Sospeter Ngoci Njeru, Izandis bin Mohd Sayed, Cecilia M. T. Sena, Benjamin E. Sibson, Jonathan Stieglitz, Kar Lye Tam, Tan Bee Ting A/P Tan Boon Huat, Marina M. Watowich, Vivek V. Venkataraman, Thomas S. Kraft, and Amanda J. Lea The associated GitHub code can be found here: https://doi.org/10.5281/zenodo.19340025 The main datasets described in this work were collected by the Turkana Health and Genomics Project (THGP) and the Orang Asli Health and Lifeways Project (OA HeLP). Both projects adhere to the “CARE Principles for Indigenous Data Governance” (Collective Benefit, Authority to Control, Responsibility, and Ethics) and are committed to the “FAIR Guiding Principles for scientific data management and stewardship” (Findable, Accessible, Interoperable, Reusable). To adhere to these principles while minimizing risks, individual-level data are stored under restricted access. The data can be accessed as follows: Requests for de-identified, individual-level data should take the form of an application that details the exact uses of the data and the research questions to be addressed, procedures that will be employed for data security and individual privacy, potential benefits to the study communities, and procedures for assessing and minimizing stigmatizing interpretations of the research results. Requests for de-identified, individual-level data will require a data use agreement (available at lea-lab.org/resources) and may require institutional IRB approval. Please contact amanda.j.lea@vanderbilt.edu with any questions.
本仓库包含与以下主题相关的数据集: 两个传统小型自给自足社会的工业化进程与腰背痛 Ian J. Wallace、Steven Worthington、My Linh Huynh-Lucero、Julien F. Ayroles、Kumaresh Louis Christopher、Kamal Solhaimi bin Fadzil、David T. Felson、Michael Gurven、Brian W. Hainline、Edwin Ser Ze Heng、Nicholas B. Holowka、Janet L. Huebner、Echwa John、Tuhina Neogi、Colin Nicholas、Patricia Kinyua、Virginia B. Kraus、Yvonne A. L. Lim、Dino Martins、Sospeter Ngoci Njeru、Izandis bin Mohd Sayed、Cecilia M. T. Sena、Benjamin E. Sibson、Jonathan Stieglitz、Kar Lye Tam、Tan Bee Ting A/P Tan Boon Huat、Marina M. Watowich、Vivek V. Venkataraman、Thomas S. Kraft 及 Amanda J. Lea 相关代码可在此处获取:https://doi.org/10.5281/zenodo.19340025 本研究涉及的主要数据集由图尔卡纳健康与基因组项目(Turkana Health and Genomics Project, THGP)与奥朗阿斯利健康与生活方式项目(Orang Asli Health and Lifeways Project, OA HeLP)采集完成。两项研究均遵循《原住民数据治理CARE原则》(Collective Benefit, Authority to Control, Responsibility, and Ethics,即集体收益、控制权、责任与伦理),并恪守《科学数据管理与托管FAIR指导原则》(Findable, Accessible, Interoperable, Reusable,即可发现、可访问、可互操作、可复用)。为遵守上述原则同时最大程度降低风险,个体层面数据采用受限访问模式存储。 数据获取方式如下: 申请使用去标识化个体层面数据时,需提交正式申请说明,内容应涵盖数据的具体用途、拟解决的研究问题、数据安全与个体隐私保护流程、对研究社群的潜在收益,以及评估并最小化研究结果被污名化解读的相关流程。此类去标识化个体层面数据的申请需签署数据使用协议(可于lea-lab.org/resources获取),且可能需要获得机构伦理审查委员会(Institutional Review Board, IRB)批准。如有任何疑问,请联系amanda.j.lea@vanderbilt.edu。



