Open Science and Data Sharing Statement | Center for Biodiversity and Global Change

Developing and sharing open and FAIR data and information products in support of biodiversity science and conservation while ensuring appropriate data attribution is at the heart of our group’s mission.

Given the synthetic nature of this work, we are uncompromising in our dedication to following data licensing and ensuring full data attribution and acknowledgment. Much of our research therefore involves many formal data partners, and resulting research papers are often highly collaborative (see also our authorship commitment). We are also committed to supporting data transparency and to developing web tools that credit and link back to the original data providers, as in the species detail pages in Map of Life (e.g., here), or through efforts such as Wildlife Insights. We are also actively contributing to the development of new biodiversity data standards to facilitate the sharing of data and building digital tools to support their use (e.g. here; Guralnick et al.).

We build a large range of robust information products that we share with the research and conservation community in a fully open way (see below). Our team works hard to ensure our own information is freely and easily available in our publications and through the Map of Life and all of our other partners.

Software, computational tools, and analytic code are critical building blocks of the scientific enterprise and key elements in ensuring reproducibility of our work. Therefore, whenever possible, we are committed to making the tools we build open source and available to the broader community. This can include depositing (well documented) analysis code alongside published manuscripts, releasing software tools as open source packages (e.g., on CRAN), or building and hosting web-based tools.

Here just some of our recent data and tool resources:

Data Papers:

Moura, M.R., Ceron K., Guedes J.J.M, Sica, Y.V., Catenazzi, A., Werneck, F.P., Toledo L.F, & Jetz, W. (2023) A phylogeny-informed characterization of global tetrapod traits addresses data gaps and biases. bioRxiv.

Grigoropoulou et al (in press): The global EPTO database: Worldwide occurrences of aquatic insects. Global Ecology and Biogeography.

Pagad, S., … Jetz, W., Ranipeta, A., … Sica, Y., & McGeoch, M.A. (2022) Country Compendium of the Global Register of Introduced and Invasive Species. Nature Scientific Data.

Sandall, E., Pinkert, S., & Jetz, W. (2022) Country-level checklists and occurrences for the world’s Odonata (dragonflies and damselflies). Journal of Biogeography, 49(8), 1586-1598.

Marsh, C., Sica, Y., … Jetz, W. (2022) Expert range maps of global mammal distributions harmonised to three taxonomic authorities. Journal of Biogeography, 49(5), 979-992.

Pinkert, S., Barve, V., Guralnick, R., & Jetz, W. (2022) Global geographical and latitudinal variation in butterfly species richness captured through a comprehensive country-level occurrence database. Global Ecology and Biogeography, 31(5), 830-839.

Snethlage, M.A., Geschke, J., Ranipeta, A., Jetz, W., … Davnah Urbach. (2022) A hierarchical inventory of the world’s mountains for global comparative mountain science. Nature Scientific Data, 9: 149.

Karger, D.N., Wilson, A.M., Mahony, C., Zimmermann, N.E., & Jetz, W. (2021) Global daily 1 km land surface precipitation based on cloud cover-informed downscaling. Nature Scientific Data, 8: 307.

Li, R., Ranipeta, A., Wilshire, J., Malczyk, J., Duong, M., Guralnick, R., et al. (2021) A cloud-based toolbox for the versatile environmental annotation of biodiversity data. PLoS Biology, 19(11): e3001460.

Ellis-Soto, D, Merow, C, Amatulli, G, Parra, J.L., & Jetz, W. (2021) Continental-scale 1 km hummingbird diversity derived from fusing point records with lateral and elevational expert information. Ecography, 44: 640–652.

Colston, T.J., Kulkarni, P., Jetz, W. & Pyron, R.A. (2020) Phylogenetic and spatial distribution of evolutionary diversification, isolation, and threat in turtles and crocodilians (non-avian archosauromorphs). BMC Evolutionary Biology, 20, 81.

González-del-Pliego, P., Freckleton, R.P., Edwards, D.P., Koo, M.S., Scheffers, B.R., Pyron,

R.A. & Jetz, W. (2019) Phylogenetic and Trait-Based Prediction of Extinction Risk for Data-Deficient Amphibians. Current Biology, 29, 1557-1563. e3.

Jetz, W. & Pyron, R.A. (2018) The interplay of past diversification and evolutionary isolation with present imperilment across the amphibian tree of life. Nature Ecology & Evolution, 2, 850–858.

Tonini, J.F.R., Beard, K.H., Ferreira, R.B., Jetz, W. & Pyron, R.A. (2016) Fully-sampled phylogenies of squamates reveal evolutionary patterns in threat status. Biological Conservation, 204, 23-31.

Upham, N.S., Esselstyn, J.A. & Jetz, W. (2019) Inferring the mammal tree: Species-level sets of phylogenies for questions in ecology, evolution, and conservation. PLOS Biology, 17, e3000494

Tools:

map.half-earthproject.org