TY - GEN
T1 - Scientific data infrastructure for sustainability science mobile applications
AU - Herbert, Katherine G.
AU - Hill, Emily
AU - Fails, Jerry Alan
AU - Ajala, Joseph O.
AU - Boniface, Richard T.
AU - Cushman, Paul W.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/22
Y1 - 2014/9/22
N2 - 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.
AB - 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.
KW - Data Integration
KW - Scientific Big Data
KW - Sustainability Science
UR - http://www.scopus.com/inward/record.url?scp=84923865543&partnerID=8YFLogxK
U2 - 10.1109/BigData.Congress.2014.130
DO - 10.1109/BigData.Congress.2014.130
M3 - Conference contribution
AN - SCOPUS:84923865543
T3 - Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014
SP - 804
EP - 805
BT - Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014
A2 - Chen, Peter
A2 - Chen, Peter
A2 - Jain, Hemant
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE International Congress on Big Data, BigData Congress 2014
Y2 - 27 June 2014 through 2 July 2014
ER -