Conference paper Open Access

Research directions for harvesting cross-sectorial correlations towards improved policy making

Drosou, A.; Dimitriou, N.; Sarris, N.; Konstantinidinis, A.; Tzovaras, Dimitrios

GeoJSON Export

{
  "type": "FeatureCollection", 
  "features": []
}
110
57
views
downloads
All versions This version
Views 110110
Downloads 5757
Data volume 108.2 MB108.2 MB
Unique views 9393
Unique downloads 5252
More info on how stats are collected.
Indexed in
Publication date:
May 4, 2017
DOI:
10.5281/zenodo.571543

Zenodo DOI Badge

DOI 

10.5281/zenodo.571543

Markdown 

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.571543.svg)](https://doi.org/10.5281/zenodo.571543)

reStructedText 

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.571543.svg
   :target: https://doi.org/10.5281/zenodo.571543

HTML 

<a href="https://doi.org/10.5281/zenodo.571543"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.571543.svg" alt="DOI"></a>

Image URL 

https://zenodo.org/badge/DOI/10.5281/zenodo.571543.svg

Target URL 

https://doi.org/10.5281/zenodo.571543

Keyword(s):
data stream analysis data integration information retrieval news media journalism
Meeting:
Data for Policy 2016 -Frontiers of Data Science for Government: Ideas, Practices and Projections (Data for Policy), Cambridge, United Kingdom, 15 - 16 September 2016
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1 10.5281/zenodo.571543 May 4, 2017
Cite all versions? You can cite all versions by using the DOI 10.5281/zenodo.599967. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export