[HubbardBrookCOS] Describing Hubbard Brook use of the EDI repository in Data Mgmt Plans and reports to funders

[Mary Martin]

Hubbard Brook Investigators and Grad Students,

Below is a snippet of text you may want to use in future Data Management 
Plans. This will definitely apply if you are collecting data at Hubbard 
Brook, and may apply to your other work if you choose to use the EDI 
repository - EDI isn't limited to LTER data! (ask me about that if you 
want to know more). We describe the Hubbard Brook data holdings in 
detail in our LTER reports, but it is likely that your work at Hubbard 
Brook is also supported by other grants. With just a little 
wordsmithing, the same can be used when reporting that you /have/ 
submitted project data to EDI. Since our data types and content cover a 
broad range, there may be situations where additional detail could be 
added - in those cases, I'd be happy to help you customize this text.

-Mary

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Data from this project will be made available in the Environmental Data 
Initiative repository (EDI; https://environmentaldatainitiative.org/). 
To enable discovery and usability of these data, the EDI submissions 
will be prepared following the Best Practices for Dataset Metadata in 
Ecological Metadata Language (EML; 
https://ediorg.github.io/data-package-best-practices/EMLmetadata/), use 
keywords aligned with controlled vocabularies (LTER, USDA Forest 
Service, and ISO 19115), fully describe all data table attributes, 
reference funding sources, and include  temporal, geographic, and 
taxonomic coverages. These steps, and features and services of the EDI 
repository, help to align our data with FAIR data practices (Findable, 
Accessible, Interoperable, Reusable; Wilkinson 2016). EDI further 
publishes these data through the DataONE federation - at both EDI and 
DataONE, these data can be discovered via a sophisticated search 
interface and manually or programmatically downloaded. The EDI 
repository fully supports immutability and strong versioning of datasets 
with all older versions being available for auditing and 
reproducibility. Each dataset version is provided its own unique Digital 
Object Identifier (DOI), which is registered by DataCite and resolvable 
through the International DOI Foundation (IDF).

Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding 
Principles for scientific data management and stewardship. Sci Data 3, 
160018 (2016). https://doi.org/10.1038/sdata.2016.18


Mary Martin
Hubbard Brook Information Manager
Earth Systems Research Center
Morse Hall, Univ of NH
Durham, NH 03824
Voice:  603 862 4508


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