Workshop on Research Data Lifecycle Management

计算建模和分析产生的数据量对研究人员、IT员工和IT基础设施存储、管理和移动数据的要求越来越高。与此同时，供资机构正在执行并增加对通过赠款资助项目产生的数据进行管理的要求。这些压力加在一起，使我们的机构处于这样一种境地：它们没有既定的资金和最佳实践来管理这些数据量，此外，研究人员和IT专业人员没有数据管理专业知识来选择数据和创建元数据，以确保重要数据的长期保存和可发现性。迫切需要将这些社区与图书馆/档案馆社区聚集在一起，考虑数据生命周期管理，并制定长期资金和数据管理战略，以帮助机构满足日益增长的需求。本次研讨会的目标是将研究人员、校园信息技术(IT)领导者和图书馆/档案馆专家聚集在一起，讨论数据生命周期管理的主题，特别是与计算科学和工程研究数据相关的主题。这一讨论将导致对选择、存储、描述和保存这些数字数据的最佳做法和筹资模式的共同理解。研讨会还将有助于培养这些社区之间的伙伴关系，以促进在保存和共享研究数据方面的持续发展。研讨会上提出的建议和做法将使计算科学家和工程师产生的大量数据集能够更有效地保存和共享。这个工作坊将直接影响我们的高等教育机构的智力能力，因为它将启动对我们的研究数据生命周期管理的持续对话。参加工作坊的教职员工将回到他们的机构，更好地准备领导开发和改进研究数据生命周期管理实践的努力。随着这些做法在全国各地的校园里建立起来，所有机构，包括来自经济困难地区的机构，都将更容易获得数据。数据的广泛可获得性将有利于研究和教育，影响学生和研究人员。

The volume of data produced by computational modeling and analysis places increasing demands on researchers, IT staff, and IT infrastructure to store, manage, and move data. At the same time, funding agencies are enforcing and increasing requirements for management of data produced through grant funded projects. These pressures come together to put our institutions in a situation where they do not have established funding and best practices for managing this volume of data and, in addition, researchers and IT professionals do not have the data curation expertise to select data and create metadata to ensure the long term preservation and discoverability of important data. There is a strong need to bring these communities together with the library/archive community to consider data lifecycle management and to develop long term funding and data curation strategies that will help institutions to meet the increasing needs.The objective of this workshop is to bring together researchers, campus Information Technology (IT) leaders, and library/archive specialists to discuss the topic of data lifecycle management specifically as it relates to computational science and engineering research data. This discussion will result in a common understanding of best practices and funding models for selecting, storing, describing, and preserving this digital data. The workshop will also help to cultivate partnerships between these communities to foster continued developments in the preservation and sharing of research data.The recommendations and practices developed at this workshop will enable the more effective preservation and sharing of the huge quantity and volume of data sets produced by computational scientists and engineers. This workshop will directly impact the intellectual capabilities of our higher education institutions by initiating a sustained dialog into the lifecycle management of our research data.Faculty and staff who attend the workshop will return to their institutions better prepared to lead the effort to develop and improve research data lifecycle management practices. As these practices are established on campuses across the country, data will become more available to all institutions including those from economically disadvantaged areas. The broader availability of data will benefit research and education, impacting students and researchers.