The previous dataset must be both updated and expanded, to 21 states and to a greater array of variables.
Data for the last two Lok Sabha (2009 and 2014) must also be collected. Furthermore, the data collection effort will include main parties candidates, for all elections held after 2014. This will enable the comparison of winners and candidates’ profiles.
A specific dataset of members of the Union and state cabinets will be built, to enable the sociological study of India’s national and regional executive branches.
The data will also include unique identification numbers for all candidates, enabling a study of individual career trajectories of India’s politicians. This will also enable the study of ‘turncoats’, or the phenomenon of politicians shifting party affiliations between elections.
The data collected will feed the dataset gathered by the Trivedi Centre for Political Data on Indian election results. The study of the social profile of elected representatives in India must be complemented by a detailed analysis of candidates and parties performance, as well as with a broader analysis of electoral outcomes.
Further, the coding of geospatial variables such as sub-regions, districts or the degree of urbanization of each constituency will help conduct the analysis at various levels of observation.
The SPINPER dataset will thus be connected to other existing datasets, including the affidavit datasets assembled by the Association for democratic Reforms (ADR). ADR has digitized the affidavits deposed by all contestants to Indian elections since 2004, providing data on occupation, assets and liabilities, as well as on the criminal profile of candidates to elections.