Data management strategies have become increasingly important as new computer technologies allow for larger and more complex data sets to be analyzed easily. As a consequence, data management has become a specialty requiring specific skills and knowledge. Many new investigators have no formal training in management of data sets. This paper describes common basic strategies critical to the management of data as applied to a data set from a longitudinal study. The stages of data management are identified. Moreover, key components and strategies, at each stage are described
Data management (DM) has existed in conjunction with software development and the management of the ...
Objective and Setting: While data management planning becomes more commonplace, moving from planning...
International audienceThe area of Principles of Data Management (PDM) has made crucial contributions...
Data management strategies have become increasingly important as new computer technologies allow for...
Data management involves the planning, management and production of data in a format suitable for re...
This chapter describes the various forms and sources of research data and the importance of planning...
Modern research requires special tooling, software and processes that allow researchers to link, tra...
No matter the complexity of a clinical research, one critical component that serves as bridge betwee...
Prepared as part of an ACRL Course What You Need to Know about Writing Data Management Plans this ...
Following up on my presentation last year on Science Research Workshops: Beyond Bibliographic Instr...
The importance and role of data management plans has increased in the context of Horizon programs, p...
The issue of interest in this study is two-fold. First the evolution of Nolan’s Stage Model is prese...
This handy online guide offers an overview of data management plans, their format and the main eleme...
The disciplinary focus of this “Introduction to Data Management” lies on biology and environmental s...
The importance of research data has grown as researchers across disciplines seek to ensure reproduci...
Data management (DM) has existed in conjunction with software development and the management of the ...
Objective and Setting: While data management planning becomes more commonplace, moving from planning...
International audienceThe area of Principles of Data Management (PDM) has made crucial contributions...
Data management strategies have become increasingly important as new computer technologies allow for...
Data management involves the planning, management and production of data in a format suitable for re...
This chapter describes the various forms and sources of research data and the importance of planning...
Modern research requires special tooling, software and processes that allow researchers to link, tra...
No matter the complexity of a clinical research, one critical component that serves as bridge betwee...
Prepared as part of an ACRL Course What You Need to Know about Writing Data Management Plans this ...
Following up on my presentation last year on Science Research Workshops: Beyond Bibliographic Instr...
The importance and role of data management plans has increased in the context of Horizon programs, p...
The issue of interest in this study is two-fold. First the evolution of Nolan’s Stage Model is prese...
This handy online guide offers an overview of data management plans, their format and the main eleme...
The disciplinary focus of this “Introduction to Data Management” lies on biology and environmental s...
The importance of research data has grown as researchers across disciplines seek to ensure reproduci...
Data management (DM) has existed in conjunction with software development and the management of the ...
Objective and Setting: While data management planning becomes more commonplace, moving from planning...
International audienceThe area of Principles of Data Management (PDM) has made crucial contributions...