A great talk from last November condensed down to ten minutes (or you can watch the whole thing) called Open Data and the Future of Funded Research, part of the Center for Digital Research and Scholarship (CDRS) Scholarly Communications Program.
Being a GIS librarian, much of what I focused on in the talk dealt with availability, access, acquisition, and licensing of data and geospatial data, both data that already exists and datasets created from your own research.
from the description:
The panelists discuss the advantages of sharing data openly as well as the practical implications for researchers, particularly those who work with confidential information or who plan to mine a data set for years to come.
the panelists are
- John Wilbanks, VP of Science at Creative Commons
- Bob Chen, the director of CIESIN
- Andrew Rundle, Associate Professor of Epidemiology at the Mailman School of Public Health
This Friday (4/17) between 10:30am – 1pm, EDS will host the new workshop ,”Introduction to Python & Geoprocessing.” The workshop will be conducted by Sneha Rao from CIESIN.
The two and half hour workshop will give an overview of:
– What is Geoprocessing?
– Introduction to Python
– Basic Data Types
– Statements, Expressions and Functions
– File Handling
– Program Execution
– Applying Python in Geoprocessing
– Demo of Model Builder
There will be several examples and short hands-on exercises working with
Python 2.5 and a demo presentation of using scripts in Model Builder included in ESRI ArcMap
software. Basic knowledge and understanding of GIS is recommended. The workshop is
meant for those without any programming/scripting experience or would like a refresher on
the basics. Register through the GIS Workshops page.
The CU Spatial Data Catalog now contains over 100 records for datasets from the Center for International Earth Science Information Network (CIESIN). These datasets are available for download, and include such collections as the Gridded Population of the World, The Global Human Footprint, and the China Dimensions Data Collection.