Open Science
I am passionate about open science and FAIR data, and try to align my scientific work with collaborative practices that are reproducible, transparent, inclusive, and kind (the Openscapes Approach). Part of my graduate thesis involves developing an open source R package (morphmat) and I am always excited to contribute to open source software and connect with others who frequently work on similar projects.
My engagement with open science
- Volunteer on the fundraising committee for the Society for Open, Reliable, and Transparent Ecology and Evolutionary biology (SORTEE)
- Data & Code Editor for PCI Ecology and PCI Evolutionary Biology (part of the Peer Community In community)
- Peer reviewer for the Journal of Open Source Software, a diamond open access journal for research software packages
Open Science Resources
General open science & reproducibility
- The Turing Way: comprehensive online book/guide
- Openscapes Approach Guide
- Building reproducible analytical pipelines with R (book by Bruno Rodrigues, 2023)
- https://www.repro4everyone.org/resources
- Opensciency - A core open science curriculum
- https://www.oercommons.org; Open Scholarship Knowledge Base
- NMFS Open Science Resource Book
- Open Access Button
- SORTEE resources
- OpenAlex (open access score for researchers)
- Our Curriculum | Open Climate Science for Agriculture
- ESIIL learning portal: Open Reproducible Science
- Ecological Forecasting Initiative: Resources for Reviewing Code
- Reproducible Research with R & RStudio, 2nd Edition (Christopher Gandrud)
Git/GitHub
- Happy Git and GitHub for the useR (book)
- GitHub Skills
- GitHub Good Practices (NMFS-OpenSci) mostly NOAA-specific
- Practical R+Git Workflow materials (NMFS Open Science)
- NOAA Fisheries Integrated Toolbox GitHub Resources
FAIR data & data management
FAIR data
- ESIP Biological Data Cluster (BDS) Primer Guide
- How to make your data FAIR | OpenAIRE
- The FAIR Cookbook
- Preparing FAIR data for reuse and reproducibility
- FAIR Cheat Sheets: to publish your research data and software FAIR
- Nine simple ways to make it easier to (re)use your data
- How to Make a Data Dictionary
- Tabular strategies for metadata in ecology, evolution, and the environmental sciences
- Australian Research Data Hub - Resources
- Data Mobilization/Darwin Core workshop (MBON)
- Interoperable - FAIR Data - LibGuides at UCD Library
- FAIR in ML & AI-ready data, & AI Reproducibility
- EarthCube FAIR training materials
Data management plans
- Primer on Data Management: What you always wanted to know
- Ten Simple Rules for Creating a Good Data Management Plan
- MIT OpenCourseWare Data Management
- Guidelines for Effective Data Management Plans
- Data Management Plan Resources and Examples (ICPSR): Framework for creating a plan and links to examples of data management plans in various scientific disciplines
- Example Plans (University of Minnesota)
- Management of NOAA Data and Information: Data Management Handbook (NAO 212-15B)
- eCommons: Cornell’s Digital Repository: Metadata tips
- OER Commons Data Management course
- Writing a data management (and sharing) plan
- Data Management Plans - Research Guides at University of Michigan Library
- British Ecological Society Guide to Data Management
- Research Data Management cheat sheets
Ecological Metadata Language (EML)
- Ecological Metadata Language (EML) Specification
- Read and Write Ecological Metadata Language Files • EML (rOpenSci)
- https://eml.ecoinformatics.org/eml-schema
- Understand the EML schema | NCEAS Data Team Reference Guide
- https://nceas.github.io/datateam-training/reference/edit-attributelists.html
- Creating Metadata for Publication | EML
- Standard Units for EML 2.2.0