NDLI: Selection problem of cloud solution for big data accessing: fuzzy AHP- PROMETHEE as a proposed methodology

Content Provider	DLINE Journal Portal
Author	Boutkhoum, Omar Agouti, Tarik Hanine, Mohamed Tikniouine, Abdessadek
Starting Page	368
File Format	PDF
ISSN	09727272
Journal	Journal of Digital Information Management
Issue Number	6
Volume Number	14
Language	English
Publisher Date	2016-12-01
Access Restriction	Open
Content Type	Text
Resource Type	Article
Subject	Management Information Systems Information Systems Library and Information Sciences

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Selection problem of cloud solution for big data accessing: fuzzy AHP- PROMETHEE as a proposed methodology