Spatial data policy please!

We don’t even have a nationwide plan for spatial data, let alone its usage.

Time to hurry up

Geographic information system or the GIS   platform that should run across all other development platforms—be it education, health and security or mega projects like Jawahar Nehru National Urban Renewal Mission, Mahatma Gandhi National Rural Employment Guarantee Act (MNREGA), Rajiv Arogyasri or the Unique Identification Number— still remains off India’s and NeGP’s radar.

In fact, it’s strange that India is yet to even draft a policy on creating a national  spatial data (NSD) platform, not to talk about its usage. And while government  agencies have the option of seeking help from the Survey of India for their topo-sheets, they need to get in touch with the nearest Regional Remote  Sensing Services Centres (RRSSC) of ISRO or with NRSA, also a division of ISRO  for more complex analysis and cases where geo-referenced data (data with latitude longitude information) is required.

So what can India do on this front?

The government can set up a National Spatial Data Infrastructure (NSDI) to support public and private applications of geospatial data—from agriculture,  health and transportation, to emergency response and public safety. For  example, on the critical issues of land acquisition, the GIS infrastructure can  help the state’s land management initiatives, including collecting and indexing  digital geographic information like cadastral, terrain, environmental datasets,  as well as information on ownership and land use.

The collected datasets can be fed into the spatial data warehouse of the  respective state land commission that can help states take more informed land  planning and management decisions—from land suitability assessment to  management of land reserves, development of commercial and residential  hubs.

In fact, an integrated GIS platform along with common spatial data model and  metadata development can further improve the quality of land use data, a  critical input when it comes to determining the compensation for citizens for acquisition of their land. Interestingly, the same data, particularly for rural areas, can be used to chalk out better agriculture policies and infrastructure to  improve irrigation, roads, warehouses and agriculture markets or mandis. It  can even serve as an input for the MNREGA or the Rajiv Arogyasri program.

Or, let us consider its use for the national census that collects humongous  socio-cultural and demographic data. The use of GIS as a platform for  undertaking the massive census exercise would mean much faster analysis of  data, which in turn would ensure that respective government agencies would  know how to spend money at the right place and at the right time, and the areas where they would need collaboration and investment from the private sector.

Further, the policies, plans, spending or quality of citizen service can be  presented as dots on the maps that can be made public to allow citizens to  actually give feedback or even register their protests, a concept that would  actually lead to a real-time evaluation of all government projects. The  GIS-based public scrutiny and feedback mechanism would also make the various government agencies more accountable.