EAGER: Knowledge and Data Transfer: the Formation of a New Workforce

这是一份EAGER提案，旨在支持2名研究生进行研究，以响应有关大型数字数据集的转移，管理和组织问题的关键问题的迫切需求。该项目的基础是利用一个非常重要的事件：斯隆数字巡天（SDSS）科学数据集正在从一个存储库转移到另外两个存储库，从一个国家实验室转移到一个大学图书馆，也转移到一个大学的天文学家小组——从一种工作人员转移到另外两种工作人员。这是研究天文学中数字知识组织以及这些知识将如何发展的关键时刻。在三个工作人员之间转移数据基的工作虽然经过高度规划，但将面临多重战略困难，这将要求所有工作人员在其不同做法的界面上发展一种新的知识形式。那些熟练掌握这种知识和数据传递接口的人将拥有对数据存储库的设计者和使用它们的人至关重要的知识。了解变化、组织结构、识别差异、管理文化和技术问题，对未来跨学科/跨劳动力科学的建议方法具有极其重要的信息。

This is an EAGER proposal to support 2 graduate students in research which responds to an immediate need concerning critical questions focused on transferring, managing, and the organizational issues of large digital datasets. The basis of the project capitalizes on a very important event: The Sloan Digital Sky Survey (SDSS) scientific dataset is being transferred from one repository to two others, from a national laboratory to a university library and also to a university-based group of astronomers - from one kind of workforce to two others. This is a pivotal moment to study in the organization of digital knowledge in astronomy and how that knowledge will be developed. The transfer of the database between the three workforces, although highly planned, will face multiple strategic difficulties that will require members of all workforces to develop a new form of knowledge at the interface of their different practices. Those who become adept at this interface of knowledge and data transfer will possess knowledge crucial to the designers of data repositories and those who make use of them. Understanding changes, organizational structures, identifying differences and managing cultural and technical issues can be extremely informative to proposed approaches in the cross-disciplinary/cross-workforce science of the future.