five

Enhancing research informatics core user satisfaction through agile practices

收藏
DataONE2024-04-23 更新2024-06-08 收录
下载链接:
https://search.dataone.org/view/sha256:1e735d500f084762ac9c7e13d502c2898eacc791fbb48c0704a62045d39e8dd3
下载链接
链接失效反馈
资源简介:
Objective: The Huntsman Cancer Institute (HCI) Research Informatics Shared Resource (RISR), a software and database development core facility, sought to address a lack of published operational best practices for research informatics cores. It aimed to use those insights to enhance effectiveness after an increase in team size from 20 to 31 full-time equivalents coincided with a reduction in user satisfaction. Materials and Methods: RISR migrated from a water-scrum-fall model of software development to agile software development practices, which emphasize iteration and collaboration. RISR’s agile implementation emphasizes the product owner role, which is responsible for user engagement and may be particularly valuable in software development that requires close engagement with users like in science. Results: All RISR’s software development teams implemented agile practices in early 2020. All project teams are led by a product owner who serves as the voice of the user on the development te..., We used Huntsman Cancer Institute (HCI)'s annual user survey of its shared resources to evaluate the impact of the Research Informatics Shared Resource (RISR)'s new structure in its first year. The survey is administered by the HCI Research Administration office and is distributed through Survey Monkey to cancer center members and recent users of at least one HCI shared resource. While the survey asks many questions that applied to RISR, the questions that are the focus of this analysis are listed below: Overall, how would you rate the quality of the service/product you received from the Research Informatics Shared Resource? Answers: Exceptional, high, average, poor, unacceptable Overall, how would you rate the turnaround time for receiving data, products or other services from the Research Informatics Shared Resource? Answers: Exceptional, high, average, poor, unacceptable The user survey was open between September 11 and September 24. Thus, it provided feedback nine months after RIS..., , # Enhancing research informatics core user satisfaction through agile practices [https://doi.org/10.5061/dryad.00000004v](https://doi.org/10.5061/dryad.00000004v) DATA OVERVIEW The dataset contains a subset of the results from the Huntsman Cancer Institute (HCI, [https://healthcare.utah.edu/huntsmancancerinstitute/](https://healthcare.utah.edu/huntsmancancerinstitute/) research shared resource annual user survey at the University of Utah ([https://www.utah.edu/](https://www.utah.edu/). The survey is administered by the HCI Research Administration office and is distributed through Survey Monkey to cancer center members and recent users of at least one HCI shared resource. This dataset is from two questions asked about the HCI Research Informatics Shared Resource (RISR, [https://risr.hci.utah.edu/](https://risr.hci.utah.edu/): 1\. Overall, how would you rate the quality of the service/product you received from the Research Informatics Shared Resource?     Possible answers: exce...
创建时间:
2025-07-30
用户留言
有没有相关的论文或文献参考?
这个数据集是基于什么背景创建的?
数据集的作者是谁?
能帮我联系到这个数据集的作者吗?
这个数据集如何下载?
点击留言
数据主题
具身智能
数据集  4099个
机构  8个
大模型
数据集  439个
机构  10个
无人机
数据集  37个
机构  6个
指令微调
数据集  36个
机构  6个
蛋白质结构
数据集  50个
机构  8个
空间智能
数据集  21个
机构  5个
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集

LIDC-IDRI

LIDC-IDRI 数据集包含来自四位经验丰富的胸部放射科医师的病变注释。 LIDC-IDRI 包含来自 1010 名肺部患者的 1018 份低剂量肺部 CT。

OpenDataLab 收录

PlantVillage

在这个数据集中,39 种不同类别的植物叶子和背景图像可用。包含 61,486 张图像的数据集。我们使用了六种不同的增强技术来增加数据集的大小。这些技术是图像翻转、伽玛校正、噪声注入、PCA 颜色增强、旋转和缩放。

OpenDataLab 收录

Allen Brain Atlas

Allen Brain Atlas 是一个综合性的脑图谱数据库,提供了详细的大脑解剖结构、基因表达数据、神经元连接信息等。该数据集包括了小鼠、人类和其他模式生物的大脑数据,旨在帮助研究人员理解大脑的结构和功能。

portal.brain-map.org 收录

HazyDet

HazyDet是由解放军工程大学等机构创建的一个大规模数据集,专门用于雾霾场景下的无人机视角物体检测。该数据集包含383,000个真实世界实例,收集自自然雾霾环境和正常场景中人工添加的雾霾效果,以模拟恶劣天气条件。数据集的创建过程结合了深度估计和大气散射模型,确保了数据的真实性和多样性。HazyDet主要应用于无人机在恶劣天气条件下的物体检测,旨在提高无人机在复杂环境中的感知能力。

arXiv 收录

THCHS-30

“THCHS30是由清华大学语音与语言技术中心(CSLT)发布的开放式汉语语音数据库。原始录音是2002年在清华大学国家重点实验室的朱晓燕教授的指导下,由王东完成的。清华大学计算机科学系智能与系统,原名“TCMSD”,意思是“清华连续普通话语音数据库”,时隔13年出版,由王东博士发起,并得到了教授的支持。朱小燕。我们希望为语音识别领域的新研究人员提供一个玩具数据库。因此,该数据库对学术用户完全免费。整个软件包包含建立中文语音识别所需的全套语音和语言资源系统。”

OpenDataLab 收录