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

这是一个渴望的建议，以支持2名研究生的研究，以应对有关转移，管理和大型数字数据集的组织问题的关键问题的迫切需要。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储存库转移到另外两个储存库，从一个国家实验室转移到一个大学图书馆，也转移到一个大学天文学家小组-从一种劳动力转移到另外两种劳动力。 这是研究天文学数字知识组织以及如何发展这些知识的关键时刻。 在这三个工作队伍之间转移数据库的工作虽然计划周密，但将面临多重战略困难，这将要求所有工作队伍的成员在其不同做法的界面上开发新的知识形式。那些精通知识和数据转移界面的人将拥有对数据储存库的设计者和使用者至关重要的知识。了解变化、组织结构、识别差异以及管理文化和技术问题，对于未来跨学科/跨劳动力科学的建议方法非常有用。

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.