Disrupting data sharing for a healthier ocean


Journal article


L. Pendleton, H. Beyer, Estradivari, Susan O. Grose, O. Hoegh‐Guldberg, Denis B. Karcher, E. Kennedy, L. Llewellyn, C. Nys, A. Shapiro, Rahul Jain, Katarzyna Kuc, Terry Leatherland, Kira O’Hainnin, G. Olmedo, Lynette Seow, Mick Tarsel
ICES Journal of Marine Science, 2019

Semantic Scholar DOI
Cite

Cite

APA   Click to copy
Pendleton, L., Beyer, H., Estradivari, Grose, S. O., Hoegh‐Guldberg, O., Karcher, D. B., … Tarsel, M. (2019). Disrupting data sharing for a healthier ocean. ICES Journal of Marine Science.


Chicago/Turabian   Click to copy
Pendleton, L., H. Beyer, Estradivari, Susan O. Grose, O. Hoegh‐Guldberg, Denis B. Karcher, E. Kennedy, et al. “Disrupting Data Sharing for a Healthier Ocean.” ICES Journal of Marine Science (2019).


MLA   Click to copy
Pendleton, L., et al. “Disrupting Data Sharing for a Healthier Ocean.” ICES Journal of Marine Science, 2019.


BibTeX   Click to copy

@article{l2019a,
  title = {Disrupting data sharing for a healthier ocean},
  year = {2019},
  journal = {ICES Journal of Marine Science},
  author = {Pendleton, L. and Beyer, H. and Estradivari and Grose, Susan O. and Hoegh‐Guldberg, O. and Karcher, Denis B. and Kennedy, E. and Llewellyn, L. and Nys, C. and Shapiro, A. and Jain, Rahul and Kuc, Katarzyna and Leatherland, Terry and O’Hainnin, Kira and Olmedo, G. and Seow, Lynette and Tarsel, Mick}
}

Abstract

Ocean ecosystems are in decline, yet we also have more ocean data, and more data portals, than ever before. To make effective decisions regarding ocean management, especially in the face of global environmental change, we need to make the best use possible of these data. Yet many data are not shared, are hard to find, and cannot be effectively accessed. We identify three classes of challenges to data sharing and use: uploading, aggregating, and navigating. While tremendous advances have occurred to improve ocean data operability and transparency, the effect has been largely incremental. We propose a suite of both technical and cultural solutions to overcome these challenges including the use of natural language processing, automatic data translation, ledger-based data identifiers, digital community currencies, data impact factors, and social networks as ways of breaking through these barriers. One way to harness these solutions could be a combinatorial machine that embodies both technological and social networking solutions to aggregate ocean data and to allow researchers to discover, navigate, and download data as well as to connect researchers and data users while providing an open-sourced backend for new data tools.


Share
Tools
Translate to