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Smart Cities, Big Data and Public Libraries

ARD Prasad DRTC Indian Statistical Institute Bengaluru. Smart Cities, Big Data and Public Libraries. UN Population Division. 54% of the world population is in Urban areas 64% will be in urban areas in 2050 India's urban population 1901 – 11.4%. 2011 – 28.53% 2030 – 40.76%

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Smart Cities, Big Data and Public Libraries

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  1. ARD Prasad DRTC Indian Statistical Institute Bengaluru Smart Cities, Big DataandPublic Libraries

  2. UN Population Division • 54% of the world population is in Urban areas • 64% will be in urban areas in 2050 • India's urban population • 1901 – 11.4%. • 2011 – 28.53% • 2030 – 40.76% • By 2050, India will add 40 crore urban dwellers

  3. Smart Cities • Concept of Smart Cities is a move towards tackling growth in urban population • World wide urban areas are choked with problems related to infrastructure • Problems are preceding slow planning • One Solution: Speeding up planning using technology

  4. Public Libraries • Should be • Community Information Centres • People's University • Public Library is a practical demonstration of democracy’s faith in universal education as a lifelong process – Iyyanki • Integral part of E-Governance • Role in Decision Support System

  5. Public Libraries • Non-authoritative: Do not scare people seeking information unlike other Govt. departments. • Can support adult, neo-literate and even non-literate population as every body pays taxes • Can implement Assistive Technology • Could be great referral centres • Take an active role in DSS of Smart Cities

  6. Big Data • Big Role in • Research Data Management • E/Smart Governance

  7. Players in Big Data • Library & Information Science: • Data Acquistion • Curation • Publishing • Computer Science: • Configuring Clusters of Computers • Technologies like Hadoop, NoSQL etc. • Statistics: • Analytics & Visualization • Domain Experts: • Subject experts of all fields

  8. Smart Governance & Data • International Level • http://data.un.org/ and many scientific data repositories like Human Genome • National • Data.gov.in; data.gov, data.gov.uk • City • Berlin, Rio de Janeiro, Copenhagen etc.

  9. Smart City • Where everything is networked • Data is shared, analyzed with organisations, industry, business & administrators • Do not overemphasize on ICT infrastructure

  10. Dark Data • Operational data which is unused • We do have data • Data is Ubiquitous • Scattered • Unorganised

  11. Making DataFAIR Findable/Discoverable Accessible Interoperable and Re-usable Role of Libraries

  12. Role of Libraries cont... • Data Acquisition • Data cleaning and curation • Anonymisation • Handling missing data values, de-duplication of data • Formatting the data (Use open standards for interoperability & long term preservation ) • Adding Licenses (Preferably CC0)

  13. Role of Libraries cont... • Making data discoverable • Creating metadata • Assigning persistent & unique identifier (DOI/CNRI) • Assigning IDs to Authors/Creators (ORCID) • Classification of data (using ontologies) • Linked Open Data (LOD) to facilitate aggregation of data

  14. Role of Libraries cont... • Publishing data on Data Repositories • Repository Software – CKAN, DataVerse, GeoNode etc. • Exposing the data through OAI-PMH and OAI-ORE • Providing APIs using REST or SOAP protocols • Providing RSS Feeds • Registering www.re3data.org . • Filtering & weeding out irrelevant data

  15. Construction Market Business/Industry Pollution/Env. issues Cultural data Education/Employment Weather Etc. Data for All Inclusive Planning • Waste Management • Disaster Management • Transport • Crime • Traffic • Water • Power • Health Care

  16. Ex: Traffic Data • Required by • Police • Municipality • Transport department • Administrators

  17. Infrastructure in Place • Infrastructure is NOT totally absent • National Optical Fibre Network (NOFN), connecting 2.5 lakh villages panchayats through high speed broadband network • Bharat-Net, to provide affordable broadband connectivity of 2 Mbps to 20 Mbps for all households. • e-Kranti, Electronic Delivery of Services

  18. Big Questions • Can Smart Cities be realized without Big Data Analytics? • Are omnipresent Public Libraries the best choice in collecting, curating & publishing data? • Can there any development in industry, business without research and education? • Can we build Knowledge/Informed society without strengthening the public library system? • Smart solutions are based on Data • Public Libraries can bring the Dark Data into lime light

  19. DRTC Activities on Big Data • Completed AgInfra project on Agricultura Data. Funded by European Union • 2-week international workshop on Big Data with ICSU/CODATA (March, 2015) • Technical Board Member of RDA (Research Data Alliance) • Guidelines for UNESCO on 'Publishing Open Data' • Int. Workshop on 'Open Data Repositories' (March, 2016) • Developing a metadata for data called 'PROMIS' (Processing Metadata Inititiative Schema)

  20. Conclusion • Should not limit to providing reading rooms & circulation • Should not limit to using ICT to support traditional library activities • Should not limit to literate sections of the society Serve non-literates, farmers, fishermen to decision makers • Should gather local information and local data for dissemination

  21. Thank You ard@drtc.isibang.ac.in ardprasad@gmail.com

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