Earth Science Information Partners (ESIP)
WHOI is a Type II member (researchers and tool developers) of the Federation of Earth Science Information Partners (ESIP). ESIP is an open networked community that brings together science, data, and information technology practitioners (http://esipfed.org/).
ESIP provides guidance at a national level, e.g., Law, E., White, C., Beaulieu, S., et al. (2017) Earth Science Information Partners, Vision for the Future of Cyberinfrastructure. Submission in Response to NSF CI 2030 Request for Information. https://doi.org/10.6084/m9.figshare.4831627.v1
ESIP working groups also recommend best practices, e.g., Hills, D. J., R. R. Downs, R. Duerr, J. C. Goldstein, M. A. Parsons, and H. K. Ramapriyan (2015), The importance of data set provenance for science, Eos, 96, doi:10.1029/2015EO040557; Downs, R.R., Lenhardt, W.C., Robinson, E., Davis, E., and Weber, N. (2015) Community Recommendations for Sustainable Scientific Software. J. Open Research Software 3, doi:10.5334/jors.bt
Woods Hole Science Community
The Woods Hole scientific community includes a number of research organizations in the Woods Hole area interested in employing informatics in effective ways. These include: Marine Biological Laboratory (MBL), Woods Hole Research Center (WHRC), USGS Woods Hole Coastal and Marine Science Center, NOAA/NMFS Northeast Fisheries Science Center, Waquoit Bay National Estuarine Research Reserve (WBNERR), and Sea Education Association (SEA).
Together this group of organizations represents a rich coverage of science disciplines, geographic areas of interest, organization types, data/information/knowledge products, and data types. It is this richness and variety and the concentration of researchers on this small peninsula that make Woods Hole an attractive location in which to do science informatics research.
RPI Tetherless World
The Tetherless World Constellation (TWC) at Rensselaer Polytechnic Institute (RPI) explores the research and engineering principles that underlie the Web and develops new technologies that expand the capabilities of the Web. The faculty and staff use powerful mathematical and scientific techniques from many disciplines to explore the modeling of the Web from both network- and information- centric views. TWC conducts research and education in semantic e-science and data science with themes including semantic data frameworks, next generation virtual observatories/organizations, knowledge integration, and knowledge provenance for science.
Last updated: August 27, 2019