'Grammarly' - Plagiarism checking software

Grammarly is an online grammar checking, spell checking, and plagiarism detection tool developed by Grammarly, Inc. San Francisco, California, in 2009. It was developed by Alex Shevchenko and Max Lytvyn. It is available via a browser extension for Chrome, Safari, Firefox, and Edge. Grammarly is available as an app for both iOS and Android. From 2018 Grammarly supports Google Docs. It is proprietary software and is available for a monthly or annual payment. Visit the website for more at https://www.grammarly.com

Sahapedia : An open online encyclopedic resource

Sahapedia is an open online multimedia encyclopedic resource on the Indian culture, arts and history. It is based on New Delhi and registered in 2011 as a not-for-profit organisation under the societies Act of 1860. The portal provides articles , books , videos , interviews and having an image database. It  is available in Bengali , Chattisgarhi , English , Hindi , Malayalam , Marati , Tamil , and Urdu. Users can explore historic sites and natural spaces through virtual walks, timelines and interactive maps. Sahapedia is both a resource and a platform in that registered users may log into a personal work space from where they can submit material for curation and form communities of interest. It is also an online archive that hosts a library, cultural events calendar and news. 

Sahapedia Introduction Video

Access Sahapedia at http://www.sahapedia.org/

"Applied Innovative Research" new journal by NISCAIR

The new journal entitled  "Applied Innovative Research" brought out by CSIR- NISCAIR ( National Institute of Science Communication and Information Resources ) in Collaboration with Advanced Materials and Processes Research Institute ( AMPRI ), Bhopal. It will focus in various innovative fields of science & technology including nuclear energy sector, environment and climate change , information technology , agriculture sciences , alternative sources of energy , biotechnology , applied mathematics , physics , chemistry , nanotechnology , engineering & material sciences etc. It is open access journal and can access at http://nopr.niscair.res.in/handle/

The Standard Address Number - A unique address identifier

The Standard Address Number (SAN) is a unique seven digit identifier used to signify a specific address of an organization in the publishing industry. The SAN is used for identification of customers for electronic ordering transmission, voice recognition ordering systems, tele-ordering, and billing or shipping account numbers. SANs reduces the problems faced by other non-standard numbering systems such as billing errors, books shipped to the wrong points, errors in payments and returns.

The SAN was initially developed at R.R. Bowker to standardise account to facilitate ordering across the supply chain. It was intended to meet the trading needs of the stake holders of the publishing industry by identifying them by a standard number and could process business transactions effectively and accurately. The SAN consists of six digits and a check digit. This seven digit code is hyphenated after the third digit for easy human transcription, but the hyphen need not be retained in electronic systems. It is approved in 1979 as ANSI/NISO Z39.43-1980 standard and updated in 1993.


To know more on this topic

• The Use of the Standard Address Number (SAN) in the Supply Chain

• Standard Address Number (SAN) by R R Bowker

• ANSI/NISO Z39.43-1993 (R2017) Standard Address Number (SAN) for the Publishing Industry

The 'Journal of Big Data' - An open access journal on Big Data

The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. It is published by Springer and available in open access platform.  The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.

To know more and access the journal- https://journalofbigdata.springeropen.com