Data Management Workflows in Interdisciplinary Highly Collaborative Research

被引：0
|
作者：
Tuna, M. Esen [1 ]
Chapman, Katie [1 ]
Kouper, Inna [2 ]
机构：
[1] Indiana Univ, Res Technol, Bloomington, IN 47405 USA
[2] Indiana Univ, Luddy Sch Informat Comp & Engn, Bloomington, IN USA
来源：
PRACTICE AND EXPERIENCE IN ADVANCED RESEARCH COMPUTING 2022 | 2022年
关键词：
interdisciplinary research; data management; data curation; research data sharing;
D O I：
10.1145/3491418.3535183
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Data curation is an important aspect in research projects. Effective data management is critical for data curation, and it not only contributes to the success of projects but makes research outputs findable, accessible, interoperable and reusable. We have examined interdisciplinary highly collaborative research (IHCR) practices in selected projects to propose data management workflows. This synopsis of work in progress discusses one of these workflows that helps locate information when there are multiple collaborators and the digital assets are spread across multiple storage systems and institutions.
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页数：3
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