Michele Pasin / Quotes

Information governance

Information governance continues to be the main area of focus for our customers. The growth of complex, diverse data from multiple sources can make governance more difficult. At the same time, growing business reliance on data and analytics creates demands on systems to deliver more data faster, whether it is well governed or not. This leads to more opportunities for data to be used incorrectly, often resulting in critical errors in business reporting, compliance and other key data-centric business functions.

In its predictions for 2015, Gartner comments that “The rise of data discovery, access to multi-structured data, data preparation tools and smart capabilities will further democratize access to analytics and stress the need for governance.”

Saved 31 July 2015 / www.topquadrant.com ↗

#analytics #data-discovery #access

Data citation

The joint principles on data citation represent a new phase of activity that focuses on principled integration with the scholarly research and publishing…

Bulletin February/march 2015 #data-citation #publishing #data-discovery

Generating analytics and insights from a knowledge graph

Additional knowledge can be inferred on top of the standardized knowledge graph, generating insights for business and consumer analytics. For example, by…

Building The Linkedin Knowledge Graph | Linkedin Engineering #knowledge-graph #data-analytics #analytics #graph

Learning analytics

In December 2013, Professor Shirley Alexander was delighted to host a visit by Professor Simon Buckingham Shum. Simon is Professor of Learning Informatics at…

Events And Presentations | University Of Technology, Sydney #analytics #Semantic-Web

Manovich’s cultural analytics concept

Manovich’s paper, Cultural Analytics: Annual Report 2010, provides an update on his ongoing project of using visualisation techniques (computationally based)…

Understanding Digital Humanities (david M. Berry) #cultural-analytics #humanity #analytics #culture

Reading analytics

The transformation of the readers’ behavior into data in- augurates the new domain of reading analytics. Reading patterns can now be analyzed, compared and…

How Books Will Become Machines #analytics #readers #industry

3 types of access to open access content

There are three essential types of access to this content, which we will call access levels. We argue that these access levels must be supported by services…

Core : Three Access Levels To Underpin Open Access #digital-libraries #raw-data #access