Skip to main content
Search
Toggle navigation
About
E.S. George Reserve (ESGR)
Matthaei Botanical Gardens and Nichols Arboretum (MBGNA)
School for Environment and Sustainability (SEAS)
University of Michigan Biological Station (UMBS)
Research Projects
Data
Data sets
Data Management
Data Stories
Sample Archives
Groups
Research Bibliography
UMBS Zotero Bibliography
All Mfield Sites Research Bibliography
Field sites
ESGR
MBGNA
SEAS
UMBS
Topics
Atmospheric
Animal Population
Climate
Field Station Impact
Nature Perception
Aquatic
Fauna
Organismal
Plant Population
Spatial Data
Terrestrial
Vegetation
User Guide
My Account
User Login
Create New UMBS Colleague Account
Home
Home
EDI Data Curation and Archival Data Fellowship at UMBS
Primary tabs
View published
(active tab)
University of Michigan Biological Station
The
University of Michigan Biological Station
(UMBS) was founded in 1909.
Social
Twitter
LinkedIn
Reddit
Google+
Facebook
EDI Data Curation and Archival Data Fellowship at UMBS
Vegetation
Project Abstract:
The UM Biological Station (UMBS) ecoinformatics and data management staff have created an information management system to curate and publish data and metadata related to science conducted at the field station in Pellston, Michigan. We have several project possibilities in mind involving the curation and publication of National Science Foundation (NSF) sponsored projects and historic long term data. Additionally, we are redesigning our information management system and have opportunities to build novel data visualization and migrate data into new systems. The exact project will be defined by UMBS needs, interest(s) by the candidate, and time constraints to complete work during summer session. The fellows will receive training in data management and gain hands-on experience through participation in data preparation, archiving and publishing with scientists at specific host research sites.
Investigators:
jtallant
Associates:
apawlik
adrebin
Status of Research Project:
Active
Related data sets:
LTREB Biomass and Forest Complexity Data
Forest tree, woody debris, and soil inventory data from long-term research plots at the University of Michigan Biological Station (LTREB)
LTREB forest chronosequence soil characterization
Related links:
Environmental Data Initiative
Years Active:
2018
to
2022
Methods:
Working with researchers and data management staff to archive data for long term use.
Funding agency:
Environmental Data Initiative (EDI), National Science Foundation (NSF)