CRUX: Crowdsourced Materials Science Resource and Workflow Exploration
CRUX: Crowdsourced Materials Science Resource and Workflow Exploration
复制标题
DOI：
10.1145/3511808.3557194
复制
发表时间：
2022-10
期刊：
影响因子：
--
通讯作者：
Mengying Wang;Hanchao Ma;Abhishek Daundkar;Sheng Guan;Yiyang Bian;A. Sehirlioglu;Yinghui Wu
中科院分区：
文献类型：
--
作者：
Mengying Wang;Hanchao Ma;Abhishek Daundkar;Sheng Guan;Yiyang Bian;A. Sehirlioglu;Yinghui Wu
现代多学科材料科学通常处理整合不同数据资源的科学工作流程（例如，X射线数据、脚本、分析结果）。大多数此类数据资源都被隔离在研究实验室中，被临时创建，并且仍然未得到充分利用。我们展示了CRUX，一个用于材料数据资源和工作流程探索的众包平台。CRUX由一致的数据工作流建模、用于工作流搜索的基于知识的资源组装以及用于支持工作流探索的数据来源授权。CRUX允许用户将参数化工作流声明为图形模式，并自动推荐具有质量保证的众包资源。我们展示了CRUX的易用性和性能与三类查询：数据搜索，工作流推荐和资源探索。我们将CRUX用于X射线衍射（XRD）数据的峰值发现，这是材料研究的基石任务。我们表明，CRUX使新的交互式范例，探索和设计工作流程的数据分析师一般。
Modern multidisciplinary materials science routinely processes scientific workflows that integrate different data resources (e.g., X-ray data, scripts, analytical results). Most of such data resources are isolated in research labs, created ad-hocly, and remain underutilized. We demonstrate CRUX, a Crowdsourced platform for materials data ResoUrces and workflow eXploration. CRUX is empowered by coherent data-workflow modeling, knowledge-based resource assembly for workflow search, and data provenance to support workflow exploration. CRUX allows users to declare parameterized workflows as graph patterns, and automatically recommends crowdsourced resources with quality guarantees. We demonstrate the ease-of-use and the performance of CRUX with three categories of queries: data search, workflow recommendation, and resource exploration. We make case of CRUX for peak finding in X-ray Diffraction (XRD) data, a cornerstone task in materials research. We show that CRUX enables new interactive paradigms to explore and design workflows for data analysts in general.