I want to search


We've launched a new website!

You're currently accessing the archived version of the DataONE website. To see our new design and keep up to date with the latest DataONE news, visit our new website at https://dataone.org

Post Docs

Current Postdocs
Megan Mach

Megan Mach is DataONE’s Communication and Outreach postdoctoral scholar, working with Dr. Amber Budden and the Community Engagement and Outreach (CEO) Working Group. Megan is here to help get the word out about DataONE and the importance of responsible data management. She dabbles in graphic design, web-wrangling, and learning more about the delicate art of communication plans. Though marine ecology has long been her focus, she is working at DataONE because she believes in the inherent value of visuals and marketing as tools to increase interest and buy-in in the sciences. Megan holds a bachelor's of science in biology from the University of Washington, a master's of science in marine biology from Boston University, and a doctorate degree in Resource Management and Environmental Studies from the University of British Columbia.

Former Postdocs
Heather Soyka

Heather Soyka was a postdoctoral scholar with DataONE, working with Dr. Amber Budden and the Community Engagement and Outreach (CEO) Working Group. She worked on creating and improving materials, resources, and opportunities for data management education and outreach. Dr. Soyka completed her PhD at the University of Pittsburgh School of Information Sciences. Her current research interests include: data reuse and knowledge transfer within professional communities of practice, ethically responsive data stewardship, and strategies for building sustainable projects and materials for research data management education.

Xixi Luo

Xixi Luo worked with the Tetherless World Constellation on the DataONE project under the mentorship of Prof. McGuinness . She was a visiting PhD student at TWC from 2007 to 2009. She received her PhD in 2011 from the School of Computer Science and Engineering, Beihang University, China. As a DataONE postdoctoral fellow, she researched the specification, adoption, and implementation of semantic technologies that helped enable DataONE to achieve its data discovery and integration objectives. Her research interests include ontology reuse, reputation mechanisms, and Linked Data.

Yiwei Wang

Yiwei Wang was a postdoctoral fellow with DataONE, working with Dr. Amber Budden as part of the Community Engagement and Outreach working group. She worked on creating and improving data management training materials and increasing DataONE’s usefulness and accessibility to the scientific community. Her research interests include understanding how DataONE can support citizen scientists and citizen science project managers in managing their data and what motivates scientists to adopt best data management and sharing practices. She is also interested in increasing data management training and outreach opportunities for undergraduate and graduate students. Dr. Wang received her Ph.D. in Environmental Studies from the University of California Santa Cruz.

Víctor Cuevas-Vicenttín

Víctor Cuevas-Vicenttín was a postdoctoral researcher with DataONE's Scientific Workflows and Provenance Working Group. Supported by the University of New Mexico and based at the University of California at Davis under the mentorship of Prof. Bertram Ludäscher, his research efforts focused on supporting data provenance, i.e., information about the origin, context, and derivation of data. Data provenance is crucial in computationally-enabled science and closely related to one if its main tools, scientific workflows, since it facilitates the repeatability and examination of scientific experiments. His work involves developing techniques to model, manage, query, and search provenance data; focused but not limited to scientific workflows.

He obtained a PhD in computer science from the University of Grenoble, France in 2011. Previous to his involvement with DataONE he worked on research projects addressing scientific data integration and query processing in dynamic environments. His research interests also include databases, service-oriented computing, and logic programming.

Aritra Dasgupta

Aritra Dasgupta was a DataONE postdoctoral research fellow, based at NYU Polytechnic School of Engineering and working as part of the Scientific Exploration Visualization and Analysis (EVA) Working Group under the mentorship of Professor Claudio Silva. He received his Ph.D. in Computing and Information Systems from the University of North Carolina Charlotte in 2012. His main research interests are using information visualization based methods for high-dimensional data analysis, quantifying information content in large data visualizations by using perceptually motivated metrics; and developing novel visual analytics tools for analyzing complex, heterogeneous data.

Yang Cao

Yang Cao was a postdoctoral scholar with DataONE under the mentorship of Prof. Bertram Ludäscher as part of the Provenance working group and DataONE development team. She has a strong interest in scientific workflow and worked to develop advanced provenance capabilities with the team. She received her Ph.D. in Computer Science from Carleton University 2012. Her research interests include XML and XPath techniques, distributed systems, cloud deployment, performance analysis of distributed software systems, and software engineering methodologies.

Miriam Davis

Miriam Davis was a postdoctoral researcher with the DataONE Usability and Assessments and Sociocultural Working Groups. In that position, she helped coordinate the usability testing of DataONE’s user tools and interface as well as a series of assessments of DataONE stakeholders’ practices and attitudes with respect to earth and environmental science data needs, management and sharing.

Dr. Davis’s research interests lie in the socio-cultural aspects of environmental science and information production, utilization and dissemination. Currently, she is interested in understanding how data management is conceptualized by different stakeholders and how that conceptualization relates to data management practices and the development of, and investment in, environmental information education. She is also interested in environmental information management education with respect to science faculty, professionals and students. Previous research addressed the human dimensions of natural resource management with a specific focus on private forest landowners and natural resource professionals. Dr. Davis holds an MSc in Forestry and a PhD in Natural Resources from the University of Tennessee, Knoxville.

Heather Piwowar

Heather Piwowar was a postdoctoral research associate with DataONE and the Dryad digital repository at NESCent. Heather studies how scientists share and reuse research data; she hopes such evidence will inform policy for more efficient and effective use of data resources. She has measured the citation benefit of publicly archiving research data, variation in journal data sharing policies, patterns in public deposition of datasets, and is currently investigating patterns of data reuse and the impact of journal data sharing policies. Dr Piwowar co-leads total-impact, an online tool for tracking the broad impact of diverse scholarly products. Heather has a bachelor’s and master’s degree from MIT in electrical engineering, 10 years of experience as a software engineer, and a PhD in Biomedical Informatics from the University of Pittsburgh. She has an active research blog (http://researchremix.wordpress.com) and twitter account (@researchremix).

Stacy Rebich Hespanha

As a member of the Community Engagement and Education working group of the DataONE project, Stacy Rebich Hespanha helped to create and evaluate learning resources and communication strategies for engaging Earth and environmental researchers, students, and educators in sound data management practices. She contributed to the effort to support open and secure access to all types of Earth observational data by helping to design learning resources and evaluate their effectiveness, support the growth of the DataONE user community and interactions between its members, and enhance DataONE visibility to researchers, decision makers, and educators. Her goal is to promote adoption of Earth and environmental science data management and sharing practices that not only serve the best interests of researchers and educators, but also stimulate advances in scientific understanding that support informed decision-making for society.

Beyond her work with DataONE, her research focuses on improving public communication about the science related to controversial environmental issues such as global climate change. Her research in this area focuses on characterization of the semantic content of past news media communication about climate change through algorithmic natural language processing of text (probabilistic topic modeling) and content analysis of visual images. In addition to characterizing semantic content of climate change news, her work focuses on understanding how various communication strategies evoke different emotional responses and the relationships between emotional response and basic human goals and values.

Andrea Wiggins

Andrea Wiggins completed her doctoral thesis at Syracuse University and started her postdoctoral work with DataONE and the Cornell Lab of Ornithology in Spring 2012. Andrea is an interdisciplinary researcher who studies the design and evolution of sociotechnical systems for large-scale collaboration, bringing together her broader research interests data-intensive science, distributed collaboration, and social computing. Andrea's current research focuses on the role of technologies in supporting public participation in scientific research. She is interested in how ordinary people become involved in meaningful real-world research through citizen science projects and how technologies can help. Andrea serves on working groups and advisory boards for citizen science across a variety of scientific domains and is a co-chair for DataONE's Public Participation in Scientific Research Working Group.

Andrea earned a bachelor's degree in Mathematics from Alma College, an MSI in Information from the University of Michigan, and a PhD in Information Science & Technology from Syracuse University. Her prior work includes studies of open source software development practices, collaboration through scientific workflow management systems, and intellectual exchange networks based on faculty hiring in information schools. She also has professional experience in nonprofit management and web analytics.

Kimberly Douglass

Dr. Kimberly Douglass was a post-doctoral research associate for DataONE. Douglass’ research interests include the interface between science and policy as well as information as a commodity. She was a co-leader for the DataONE Sociocultural Working Group. She recently co-authored a paper that appears in the online journal PLOS One about the data practices of scientists, as well as a paper in the Journal of Ecological Informatics about the DataONE Project. She has also worked as a policy analyst for the Tennessee Department of Environment and Conservation and the Tennessee Comptroller’s Office. Douglass earned a Ph.D. in Political Science (emphasis on environmental and natural resource policy) from the University of Tennessee in 2009. She earned a Masters of Public Administration from Tennessee State University and a Bachelor of Arts and Sciences from there as well.

Carly Strasser

As a DataONE postdoctoral investigator, Carly Strasser was interested in making DataONE accessible and useful to the scientific community, both by helping to develop and implement data management practices, and by exploring sociocultural questions about the nature of data management and sharing. Some of her activities with DataONE included exploring whether undergraduates are learning about data management, contributing to the development of the Best Practices and Tools database on the DataONE website, advising DataONE summer interns, and helping organize workshops on data management at conferences.