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Smart Solutions for Growing Urban Populations: Leveraging Data and Libraries

This article explores the role of Smart Cities, Big Data, and Public Libraries in addressing urban population growth. It covers the importance of technology in urban planning, the significance of public libraries as community hubs, and the potential of data in shaping smart governance. The text delves into how libraries can acquire, manage, and publish data, as well as support inclusive planning for various sectors such as waste management, transportation, and healthcare. It also discusses the infrastructure in place and poses important questions about the role of data analytics, public libraries, and education in societal development. The piece highlights the activities of the Indian Statistical Institute's DRTC division in the realm of Big Data and concludes with recommendations for libraries to evolve beyond traditional services and cater to diverse segments of society.

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Smart Solutions for Growing Urban Populations: Leveraging Data and 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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