Workshop: Advancing data management and sharing practices in the anthropological sciences: Milwaukee, WI - October 2018

人类学科学研究人类文化和生物学，使用一系列的方法，已开发的内部和外部的人类学。这些方法产生了许多不同类型的数据，不仅包括数字记录和测量，还包括骨骼和化石、环境样本、DNA和其他生物标志物以及现场记录。该奖项将为生物人类学和密切相关领域的研究人员举办研讨会，以解决数据的多样性，并讨论数据管理和共享的最佳实践。讲习班将借鉴文化人类学和考古学等其他学科的现有报告和最佳做法，并涵盖人类学学科中可能特别突出的问题。讲习班的成果将与学术界分享，并将为更详细地解决具体数据问题提出前进的道路。生物人类学数据共享的改善将允许扩大学科内和跨学科的合作，并促进扩大获得联邦和私人资助的研究中产生的科学数据和发现。 在这次数据研讨会上，来自美国人类学系的约30名与会者将在威斯康星州的密尔沃基举行会议，以解决阻碍更广泛数据共享的问题，并确定支持生物人类学子领域内产生的各种数据类型共享的资源。生物人类学的研究产生了关于人类和非人类灵长类动物的形式，生理和行为的广泛数据和物理收集。这些数据包括但不限于以数字方式存储和/或作为生物样本存储的生物数据、化石和骨骼测量结果和图像以及标本本身、与人类和非人类灵长类动物遗址相关的古环境数据以及人种学和行为注释和记录。数据可能与几十年来一直在收集数据的个人、短期项目或长期实地站点相关联，并且可能会受到与人类受试者研究、国际合作、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进行评估，被认为值得支持和更广泛的影响审查标准。

The anthropological sciences study human culture and biology using a range of methods that have been developed within and outside of anthropology. These methods result in many different types of data, including not only digital records and measurements, but also bones and fossils, environmental samples, DNA and other biomarkers, and field notes. This award will support a workshop for researchers in biological anthropology and closely related fields to address this diversity of data and discuss best practices in data management and sharing. The workshop will build upon available reports and best practices from other disciplines, including cultural anthropology and archaeology, and cover issues that may be particularly salient in anthropological disciplines. Workshop outcomes will be shared with the academic community and will suggest a path forward for addressing specific data issues in greater detail. Improvements in data sharing in biological anthropology will allow for expanded collaborations within and across disciplines, and promote expanded access to scientific data and findings generated in federally- and privately-funded research. In this data workshop, approximately 30 participants from anthropology departments in the United States will convene in Milwaukee, WI, to address issues that impede more extensive data sharing and to identify resources that support sharing of the various data types generated within the subfields of biological anthropology. Research in biological anthropology generates a wide range of data and physical collections on the form, physiology, and behavior of humans and non-human primates. Such data include, but are not limited to, biological data stored digitally and/or as biosamples, fossil and skeletal measurements and images and the specimens themselves, paleoenvironmental data associated with human and non-human primate sites, and ethnographic and behavioral notes and records. Data may be linked to individual, short-term projects or long-term field sites that have been collecting waves of data over several decades, and may come with ethical and logistical limitations related to issues such as human subjects research, international collaborations, and preservation of physical collections.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.