Name
Abstract | ||
|---|---|---|
The Translational Data Analytics Institute (TDAI) at the Ohio State University (OSU) aims to promote cross discipline work in order to improve data science and analytics in many areas of university-wide research for use in solving real world problems including areas such as smart city, smart agriculture, and biomedical research. As a result of their interest in promoting transdisciplinary work, TDAI decided that they needed to grapple with the problems of where do researchers get their data and where do they store it for the long term. In particular they were interested in improving the discoverability of and access to data sets that have already been produced by other researchers [1]. To support their mission TDAI envisioned the Data Commons as a website where researchers upload research data sets, curators link data sets together, and researchers visualize and analyze data sets in a data processing environment. Development of this data portal has gone through several phases: requirements gathering, a "ground up" implementation by a local contractor, transfer to the Ohio Supercomputer Center (OSC) for additional development and hosting, and an initial release. Requirements gathering for version 2 is in progress.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3332186.3335198 | Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning) |
Keywords | Field | DocType |
Data commons, Data repository | Political science,Library science,Commons | Conference |
ISSN | ISBN | Citations |
978-1-4503-7227-5 | 978-1-4503-7227-5 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Morgan E. Rodgers | 1 | 0 | 0.34 |
| Eric Franz | 2 | 7 | 4.02 |
| Alan Chalker | 3 | 3 | 2.06 |
| David E. Hudak | 4 | 44 | 11.50 |
| Christopher Stewart | 5 | 332 | 32.60 |
| Raghu Machiraju | 6 | 864 | 78.64 |
| Steve Chang | 7 | 0 | 0.34 |
| Cathie Smith | 8 | 0 | 0.34 |