GNLCC Information Management, Delivery, and Sharing Standards: Revised FY15
Revised FY15
Dates
Acquisition
2015-09
Summary
This document defines the standard for data and information delivery for Great Northern Landscape Conservation Cooperative (GNLCC) science providers. It defines project-level data management practices, data documentation standards, and product delivery processes. The standards are designed to ensure and facilitate full and open access to scientific data[1] and data products funded by GNLCC. A well-developed data management strategy has mutual benefits for GNLCC and the Principal Investigators (PI) of funded projects. Specifically, GNLCC gains confidence that products will be delivered in a timely manner in a format most useful to partners, resource managers, and the public. PIs will have a priori understanding of expected product [...]
Summary
This document defines the standard for data and information delivery for Great Northern Landscape Conservation Cooperative (GNLCC) science providers. It defines project-level data management practices, data documentation standards, and product delivery processes. The standards are designed to ensure and facilitate full and open access to scientific data
[1] and data products funded by GNLCC. A well-developed data management strategy has mutual benefits for GNLCC and the Principal Investigators (PI) of funded projects. Specifically, GNLCC gains confidence that products will be delivered in a timely manner in a format most useful to partners, resource managers, and the public. PIs will have
a priori understanding of expected product quality, documentation, and delivery format and process. The practices described herein are consistent with requirements of the National LCC Network, National Climate Change and Wildlife Science Center, Northwest and North Central Climate Science Centers, and the National Science Foundation.
[1]Data may include “textual information, numeric information, instrumental readouts, equations, statistics, images (whether fixed or moving), diagrams, and audio recordings. It includes raw data, processed data, derived data, published data, physical samples, and archived data. It includes the data generated by experiments, by models and simulations, and by observations of natural phenomena at specific times and locations. It includes data gathered specifically for research as well as information gathered for other purposes that is then used in research. This definition of data also includes any custom code or applications that were developed to aid in data analysis or transformation and are necessary to understand the data. Code and applications must include adequate documentation and/or within code comments to understand the function.”
