Evolutionary biology Population genetics Systematics Paleontology Botany and Zoology Genomics Ecology Medicine Agriculture Anthropology Bioinformatics.

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Introduction The field of evolutionary biology draws from ecology, paleontology, population genetics, physiology, systematics, and new biological sub disciplines.
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Presentation transcript:

Evolutionary biology Population genetics Systematics Paleontology Botany and Zoology Genomics Ecology Medicine Agriculture Anthropology Bioinformatics

Some applications of evolutionary biology Fighting antibiotic and pesticide resistance Controlling emerging diseases Using evolutionary strategies to design better drugs and vaccines Informing health care through a better understanding of human origins Improving quality and productivity for agriculture Helping to conserve biodiversity Predicting the effects of environmental change

Our mission To address grand challenge questions in evolutionary biology We do this by Identifying areas ripe for conceptual synthesis Supporting scholars pursuing synthetic research Catalyzing collaborations among disciplines and institutions Allowing the wealth of existing data and analytic tools to be fully utilized

NESCent activities Science and Synthesis Host resident scholars Host working groups and conferences Education and Outreach Promote K-college evolution education Disseminate the science from NESCent Informatics Software development and promotion of interoperability Training and support for evolutionary bioinformatics Digital data sharing

Data sharing position paper Drafted by Michael Whitlock (editor, Am. Nat.) Proposes for journals to simultaneously require data sharing upon publication in a shared repository Current signatories American Naturalist Evolution Journal of Evolutionary Biology Molecular Ecology

A digital repository for published evolutionary biology data Synthesis Sharing Discovery Preservation

Unique challenges of small science Data are heterogeneous and idiosyncratically structured Extensive and specialized metadata are required to understand the data Metadata are not easily captured automatically Burden rests on researcher Growth of specialized repositories (Genbank, Treebase, Morphbank, PaleoDB)

Digital Repository for Information and Data in Evolution (DRIADE) Journals Specialized repositories (eg Genbank, Morphbank, PaleoDB, Treebase) Researchers DRIADE

Journals represented to date American Naturalist* Evolution* Integrative & Comparative Biology* Journal of Evolutionary Biology* Molecular Biology and Evolution* Molecular Ecology Molecular Phylogenetics and Evolution Systematic Biology* * society journals

The charge from stakeholders Preserve published data ASAP Primary purpose should be to allow repeated analysis Accept all formats and filetypes, including software code and simulation results Require minimal metadata for ease of deposition Respect intellectual property Creative commons licensing: Some rights reserved Allow embargo at editors discretion Require citations Be financially self-sustaining Cannot be fully dependent on NSF or page charges

DRIADE project phases Phase I Immediate preservation Phase II Ease of deposition More sophisticated retrieval Integration into the journal submission process Handshaking with specialized repositories Phase III Incorporate emerging technologies for community- added value and data reuse

Digital data preservation, sharing, and discovery: Challenges for small science communities in the digital era Community adoption Financial sustainability Intellectual property Technical infrastructure Data lifecycle management Emerging technologies

Plan for the morning 1-2 minute introductions Only for those not giving background talks What brings you here? Lightning talks Ahrash Bissell, Leesa Brieger, Paul Jones, Michael Nelson, Oya Rieger, Gail Reinhardt, Stuart Weibel Goals of the workshop Jane Greenberg