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data|in|space gives social scientists easy access to geospatial and non-traditional data sets and are directly useable in standard statistical software packages. It is also a platform for researchers to publish tools (i.e. code, scripts) and learning materials and get credit for their work. The aim is to enhance transparency and replicability, and eventually enable social scientists to create their own data sets in pursuit of their inquiries.

Todos os conjuntos de dados:  M
  • M
    • abril 2017
      Fonte: data|in|space
      Carregamento por: Knoema
      Acesso em 20 julho, 2018
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      Data cited at: 1. Original Data:U.S. Geological Survey (USGS). 2005. Mineral Resources Data System: U.S. Geological Survey, Reston, VA.GADM database of Global Administrative Areas, http://www.gadm.org/, Version 1 Accessed May 2012. 2. Spatial Join:Axel Dreher, Andreas Fuchs, Roland Hodler, Bradley C. Parks, Paul A. Raschky, Michael J. Tierney (2016). Aid on Demand: African Leaders and the Geography of China’s Foreign Assistance. AidData Working Paper 3, aiddata.org. 3. Acknowledgement:This dataset was constructed using financial support from the Australian Research Council (ARC DP150100061 ). This table contains information about mine location (total and by commodity) for 5,835 African ADM2 units.