Standard: RR - The Ethics of Archiving and Reusing Qualitative Data: Guidelines for Practice

标准：RR - 归档和重用定性数据的道德规范：实践指南

• 批准号: 1761203
• 负责人: Linda Shaw
• 金额: $ 4.91万
• 依托单位: California State University San Marcos Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-03-01 至 2020-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1761203&HistoricalAwards=false
• 关键词: Standard; RR; Ethics; Archiving; Reusing

This workshop that will advance scholarly research by developing guidelines for the archiving, sharing, and reuse of qualitative data. By focusing on the development of guidelines that are sensitive to the ethical and epistemological concerns entailed in making qualitative data public, the workshop will move beyond debates focused on the contrasts between qualitative and quantitative research. These guidelines will offer a practical resource for use by qualitative researchers (graduate students, senior scholars, policy analysts, and project and program staff), IRBs, and other institutional bodies charged with oversight regarding the ethical conduct of qualitative research. In addition, they will be of interest to researchers and stakeholders beyond the academy, including NGOs, not-for-profit agencies, and funding institutions. Making qualitative data publically available has become salient at a time when there are increasing calls for transparency in the conduct of social research. Responding to this call may be most readily accomplished by researchers whose large quantitative data sets can be anonymized and when consent appears to be either straightforward, or these data are already in the public domain. This workshop will focus on the ethical challenges of archiving qualitative inquiry and the transferability of quantitative data archiving, sharing, and reuse. A multidisciplinary group of workshop participants who are sensitive to ethical concerns of informed consent and preserving confidentiality, as well as on the epistemic assumptions that underlie interpretive research methods will develop draft guidelines for making qualitative data public. Once the guidelines are finalized they will be disseminated to members of academic and research communities, organizations, funders, and journal editors.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该研讨会将通过制定定性数据的归档、共享和重用指南来推进学术研究。通过重点制定对公开定性数据所涉及的伦理和认识论问题敏感的指导方针，研讨会将超越专注于定性和定量研究之间对比的辩论。这些指南将为定性研究人员（研究生、高级学者、政策分析师以及项目和项目人员）、IRB 和其他负责监督定性研究道德行为的机构提供实用资源。此外，它们还将引起学院以外的研究人员和利益相关者的兴趣，包括非政府组织、非营利机构和资助机构。随着社会研究透明度的呼声越来越高，公开定性数据变得尤为重要。响应这一号召可能是最容易由研究人员完成的，他们的大量定量数据集可以匿名，并且当同意似乎很简单，或者这些数据已经在公共领域时。本次研讨会将重点讨论归档定性查询的道德挑战以及定量数据归档、共享和重用的可转移性。由多学科研讨会参与者组成的小组将对知情同意和保密的道德问题以及解释性研究方法背后的认知假设敏感，他们将制定公开定性数据的指南草案。一旦指南最终确定，它们将分发给学术和研究团体、组织、资助者和期刊编辑的成员。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。