A data management workflow of biodiversity data from the field to data users.

ABSTRACT:

Premise

Heterogeneity of biodiversity data from the collections, research, and management communities presents challenges for data findability, accessibility, interoperability, and reusability. Workflows designed with data collection, standards, dissemination, and reuse in mind will generate better information across geopolitical, administrative, and institutional boundaries. Here, we present our data workflow as a case study of how we collected, shared, and used data from multiple sources.

Methods

In 2012, we initiated the collection of biodiversity data relating to Michigan prairie fens, including data on plant communities and the federally endangered Poweshiek skipperling (Oarisma poweshiek).

Results

Over 23,000 occurrence records were compiled in a database

SUBMITTER: Hackett RA 

PROVIDER: S-EPMC6923704 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature