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dls_n4_pids_navy.pdf

Persistent Identifiers Explained

Persistent Identifiers (PIDs) are unique and permanent digital references that make it possible to find, access, reuse, and cite digital information objects of any type on the web.

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TAGS: Persistent Identifiers, DOI, Permanent Links, ARK, Handle
DATE: 03-2020


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dls_n2_datacitation_navy_1.pdf

Data Citation in a Nutshell

Learn how to attribute data sources and receive credit for your data.

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TAGS: Data Attribution, Citation Styles, Citation
DATE: 02-2020


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dls_n1_orcid_navy_0.pdf

Why should you get an ORCID?

The Open Researcher and Contributor ID is an individual 16-digit identifier that connects researchers to their intellectual outputs.

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TAGS: ORCID, Scholar ID, Persistent Identifiers
DATE: 01-2020


Student Engagement And Enrichment In Data Science (SEEDS)

An interdisciplinary vision of computing research to create a student-driven data science foundation.

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Data Management Planning

Lesson on Data Management Plan Writing and the DPMTool originally taught at the NCEAS UCSB Faculty Seminar Series: Grow Your Data & Team Science Skills (Sept. 2023). 

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Container-Driven Reproducible Research Made Simple

This workshop will show a reproducible and user-friendly approach to creating research environments using development containers. You will learn to use Visual Studio Code to create containerized R and Python environments, customize them with extensions, Jupyterlab, and RStudio, and deploy them on NSF-supported cloud instances like Jetstream2.

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