The Neotoma Paleoecology Database: An International Community-Curated Resource for Paleoecological and Paleoenvironmental Data
Abstract
The Neotoma Paleoecology Database supports global change research at the intersection of geology and ecology by providing a high-quality, community-curated data repository for paleoecological data. These data are widely used to study biological responses and feedbacks to past environmental change at local to global scales. The Neotoma data model is flexible and can store multiple kinds of fossil, biogeochemical, or physical variables measured from sedimentary archives. Data additions to Neotoma are growing and include >3.5 million observations, >16,000 datasets, and >8,500 sites. Dataset types include fossil pollen, vertebrates, diatoms, ostracodes, macroinvertebrates, plant macrofossils, insects, testate amoebae, geochronological data, and the recently added organic biomarkers, stable isotopes, and specimen-level data. Neotoma data can be found and retrieved in multiple ways, including the Explorer map-based interface, a RESTful Application Programming Interface, the neotoma R package, and digital object identifiers. Neotoma has partnered with the Paleobiology Database to produce a common data portal for paleobiological data, called the Earth Life Consortium. A new embargo management is designed to allow investigators to put their data into Neotoma and then make use of Neotoma's value-added services. Neotoma's distributed scientific governance model is flexible and scalable, with many open pathways for welcoming new members, data contributors, stewards, and research communities. As the volume and variety of scientific data grow, community-curated data resources such as Neotoma have become foundational infrastructure for big data science.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2017
- Bibcode:
- 2017AGUFMIN13C0079W
- Keywords:
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- 1912 Data management;
- preservation;
- rescue;
- INFORMATICS;
- 1916 Data and information discovery;
- INFORMATICS;
- 1946 Metadata;
- INFORMATICS