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Describe:
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This postdoctoral fellow will be mentored by Dr. Xiaogang Ma (https://webpages.uidaho.edu/max/) at
University of Idaho. The characteristics of the existing NSF project is data-intensive, multi-disciplinary,
and collaborative. The candidate for this position will be a new PhD graduate from computer science,
geography, ecology, agriculture, bioinformatics, public health, or a closely related field with intensive
application of informatics and data science methods. Dr. Ma has successful experience of training
postdoctoral researchers and PhD students in a multi-disciplinary contexts such as geoinformatics and data
science. Dr. Ma and the postdoctoral fellow will work together to organize research and training activities
that are most appropriate to address the fellow’s needs in skill improvement and career development. The
research activities on data collection, enrichment, annotation and the boundary activities on focused data
studies have an ultimate aim to smooth the data life cycle in the TickBase project. Several latest platforms
and technologies from the data management and open data communities, such as DataCite, DataONE,
Schema.org and Google Dataset Search, will be leveraged in the proposed technical developments and will
be used to extend the TickBase data portal. Those works as a whole will reduce scientists’ time on data
search and cleansing and let them focus more on data analysis and scientific discoveries. Moreover, the
datasets collected and/or identified by this project will be made more visible on the Web through those new
technologies, which will benefit not only the TickBase project team but also a broad community of other
researchers who are also working on tick and tick-borne disease related research. This postdoctoral fellow will be mentored by Dr. Xiaogang Ma (https://webpages.uidaho.edu/max/) at
University of Idaho. The characteristics of the existing NSF project is data-intensive, multi-disciplinary,
and collaborative. The candidate for this position will be a new PhD graduate from computer science,
geography, ecology, agriculture, bioinformatics, public health, or a closely related field with intensive
application of informatics and data science methods. Dr. Ma has successful experience of training
postdoctoral researchers and PhD students in a multi-disciplinary contexts such as geoinformatics and data
science. Dr. Ma and the postdoctoral fellow will work together to organize research and training activities
that are most appropriate to address the fellow’s needs in skill improvement and career development. The
research activities on data collection, enrichment, annotation and the boundary activities on focused data
studies have an ultimate aim to smooth the data life cycle in the TickBase project. Several latest platforms
and technologies from the data management and open data communities, such as DataCite, DataONE,
Schema.org and Google Dataset Search, will be leveraged in the proposed technical developments and will
be used to extend the TickBase data portal. Those works as a whole will reduce scientists’ time on data
search and cleansing and let them focus more on data analysis and scientific discoveries. Moreover, the
datasets collected and/or identified by this project will be made more visible on the Web through those new
technologies, which will benefit not only the TickBase project team but also a broad community of other
researchers who are also working on tick and tick-borne disease related research.
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