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Managing, sharing and handling research data: positive contributions from the social sciences Louise Corti UK Data Service UK Data Archive, University of Essex
The pyunicorn links to other packages and software Easy exchange with standard Python packages: numpy, scipy, scikit-learn, matplotlib. Exchange network data with igraph, networkx, graph-tool through various data formats. Save to and load from various standard graph formats, e.g, for visualization in CGV, Gelphi.
Regularly review and update these data management practices, to align with current developments. Enable the connections between data citations in references and data, allowing researchers to receive credit for data sharing practices. Formed in 2009 Approximately 2 dozen national funders Sustainable Development Goals (SDGs)
Big data EO management and analysis 40 years of Earth Observation data of land change accessible for analysis and modelling.
Understandable the sharing of data international should be and infrastructures thu s, requires with preference that facilitate contextual allows researchers—including non-proprietary international indicators; provision and plans for all for information use and interpretation languages. metadata, of including community in provenance, outside the discipline addition, data standards uncertainty ...