Abstract
The presentation will review the definition and component stages of data lifecycle management and discuss relevant and associated issues. In addition, there will be a focus on elements of workflow management that has to accommodate data use, manipulation, sharing, and preservation. The objective is to provide an outline for understanding data management (DM) and explore opportunities for effective DM implementation. The audience will be asked to help, based on individual experiences, identify issues and obstacles to DM implementation and associated remedies to apply towards eliminating problems and bottlenecks. An attempt will be made to capture lessons from actual experiences with data that can be effectively applied against circumstances that may be known or routine. Additional information will be provided from existing case studies that will be able to illustrate methods of addressing DM needs under similar circumstances as well as identifying considerations applicable to unique situations. The learning expectations and objectives include the development of defining terminology, expressing ways to structure the issues relevant to DM, developing methods for effective implementation DM principles, and efficiently integrating DM in the normal workflow of a professional librarian.
Data Lifecycle Management: What Has Got to Give
The presentation will review the definition and component stages of data lifecycle management and discuss relevant and associated issues. In addition, there will be a focus on elements of workflow management that has to accommodate data use, manipulation, sharing, and preservation. The objective is to provide an outline for understanding data management (DM) and explore opportunities for effective DM implementation. The audience will be asked to help, based on individual experiences, identify issues and obstacles to DM implementation and associated remedies to apply towards eliminating problems and bottlenecks. An attempt will be made to capture lessons from actual experiences with data that can be effectively applied against circumstances that may be known or routine. Additional information will be provided from existing case studies that will be able to illustrate methods of addressing DM needs under similar circumstances as well as identifying considerations applicable to unique situations. The learning expectations and objectives include the development of defining terminology, expressing ways to structure the issues relevant to DM, developing methods for effective implementation DM principles, and efficiently integrating DM in the normal workflow of a professional librarian.