Scientific data infrastructure for sustainability science mobile applications

Katherine Herbert, Emily Hill, Jerry Alan Fails, Joseph O. Ajala, Richard T. Boniface, Paul W. Cushman

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

3 Citations (Scopus)

Abstract

With the recent ecological and volatile climate issues, numerous concerns have arisen which have led to the rapid growth of sustainability sciences. In sustainability studies and related areas such as crisis data management, multiple communities need to interact and contribute data, and then have this data modeled for them in an effective manner. The National Science Foundation Advisory Committee for Environment Research and Education states that, 'Because of the complex relationships among people, ecosystems, and the biosphere, human health and well-being are closely linked to the integrity of local, regional and global ecosystems.' In our work, we look towards developing a mobile application platform that allows data integration for multiple information sources that allows the user flexibility to learn about and actively participate in understanding and helping their environment. In this paper, we address our current work with the scientific aspects of this data.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014
EditorsPeter Chen, Peter Chen, Hemant Jain
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages804-805
Number of pages2
ISBN (Electronic)9781479950577
DOIs
StatePublished - 1 Jan 2014
Event3rd IEEE International Congress on Big Data, BigData Congress 2014 - Anchorage, United States
Duration: 27 Jun 20142 Jul 2014

Other

Other3rd IEEE International Congress on Big Data, BigData Congress 2014
CountryUnited States
CityAnchorage
Period27/06/142/07/14

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Ecosystems
Sustainable development
Data integration
Information management
Education
Health

Keywords

  • Data Integration
  • Scientific Big Data
  • Sustainability Science

Cite this

Herbert, K., Hill, E., Fails, J. A., Ajala, J. O., Boniface, R. T., & Cushman, P. W. (2014). Scientific data infrastructure for sustainability science mobile applications. In P. Chen, P. Chen, & H. Jain (Eds.), Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014 (pp. 804-805). [6906874] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData.Congress.2014.130
Herbert, Katherine ; Hill, Emily ; Fails, Jerry Alan ; Ajala, Joseph O. ; Boniface, Richard T. ; Cushman, Paul W. / Scientific data infrastructure for sustainability science mobile applications. Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014. editor / Peter Chen ; Peter Chen ; Hemant Jain. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 804-805
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Herbert, K, Hill, E, Fails, JA, Ajala, JO, Boniface, RT & Cushman, PW 2014, Scientific data infrastructure for sustainability science mobile applications. in P Chen, P Chen & H Jain (eds), Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014., 6906874, Institute of Electrical and Electronics Engineers Inc., pp. 804-805, 3rd IEEE International Congress on Big Data, BigData Congress 2014, Anchorage, United States, 27/06/14. https://doi.org/10.1109/BigData.Congress.2014.130

Scientific data infrastructure for sustainability science mobile applications. / Herbert, Katherine; Hill, Emily; Fails, Jerry Alan; Ajala, Joseph O.; Boniface, Richard T.; Cushman, Paul W.

Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014. ed. / Peter Chen; Peter Chen; Hemant Jain. Institute of Electrical and Electronics Engineers Inc., 2014. p. 804-805 6906874.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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Herbert K, Hill E, Fails JA, Ajala JO, Boniface RT, Cushman PW. Scientific data infrastructure for sustainability science mobile applications. In Chen P, Chen P, Jain H, editors, Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 804-805. 6906874 https://doi.org/10.1109/BigData.Congress.2014.130