Our data management strategy will ensure that data are:
High-quality
Define and apply quality assurance and quality control procedures for all data to ensure data quality and integrity
Create a single point of truth for data housed within NBMG
Reproducible and Well-described
Provide high-quality descriptive metadata for all datasets
Data and services should be described well enough to be used without expert assistance
Accessible and Discoverable
Data and metadata should be available and searchable on the web
Disseminate data to the public and scientific community in user-friendly web portals
Secure
Build access and management systems to ensure data security
Ensure that sensitive data are protected accordingly and data are only available to appropriate users
Preserved
Maintain edit and versioning history for all data within the system
Data should be available and understandable – if the data owner leaves the department, others should still be able to retrieve and understand what the data are and how they were created
Personal and research data that are not actively being used or accessed should be archived in the appropriate location, whether in University hosted cloud (Nevada Box) or through library services
Compliant
Compliant with data standards or grant requirements when Open Geospatial Consortium (OGC) and Geoscience Markup Language (GeoSciML)
Structurally and semantically interoperable with industry standards
Data management practices should promote:
Maintainability
Long-term costs should be minimized by using open-source software when possible
Any tools or software created should be versioned and documented so that others could maintain it in the future
Newly implemented systems should strive to be as simple as possible while still being
Sustainable and reproducible workflows
Create data workflows for adding to existing datasets and quickly making data available online
Allow multiple users to simultaneously access and edit GIS data in-house
Create input portals to facilitate data submission to NBMG
Redundancy and reliability
All data on server should be backed up, back-ups will be customized depending on data IO
In-house server uptime for file shares is a priority
Quick reference:
Reference: National Center for Ecological Analysis and Synthesis Data Management Primer
Long term data should be stored in a relational database management system. Research data should be stored in the appropriate location on the NBMG file system (see outline here: https://nbmg-unr.github.io/file_system.html). The data on the file system may eventually be integrated into the relational system, so be sure to store data in the correct location for discoverability.
NBMG currently uses the following folder structure for mapping projects, which encompasses any data that are used in the map (geodatabase, images, layers, shapefiles), documentation and metadata associated with the project, and
The following geodatabase structure is the NBMG standard for organizing geologic features.
NBMG is mandated be partially compliant with USGS’s geologic map schema (GeMS) by 2020, and must fully adopt the schema by StateMap deliverables in 2022.
The GeMS schema is more complex than NBMG’s model, but is to be used as a publication or archival format for the database only, agnostic of visual presentation. Thus, NBMG’s long term plan is to develop a toolbox and workflows to convert NBMG’s geodatabase schema to the GeMS schema after the mapmaking process is complete.