Journal Finder, in beta, was developed by Elsevier in response to feedback from authors
Cecilia Tomas's insight:
"What is the Elsevier Fingerprinting Engine?
The Elsevier Fingerbrinting Engine is a software system that mines the text of scientific documents – publication abstracts, funding announcements and awards, project summaries, patents, proposals/applications, and other sources – to create an index of weighted terms which defines the text, known as a Fingerprintvisualization.
The transferability of fingerprinting to other tools in an example of how Elsevier is benefiting from the expertise of Collexis, a semantic technology software developer Elsevier acquired in 2010. Elsevier is using the “fingerprinting” technology for various products for Academic and Government Institutional Markets, including SciVal Experts, an expertise profiling system and research networking tool, and SciVal Funding, which helps researchers find funding sources and helps funding agencies find researchers to review grant applications.
Here's a really nice entry named Open Aerial: The Data Behind MapBox Satellite: "MapBox Satellite is powered by raw imagery from multiple sources that is then processed by MapBox using open source tools. All the data you're about to see is free, open, and if you're a U.S. taxpayer, available thanks to you."
"PublishOER, RIDLR and SupOERGlue funded under the HEA JISC UKOER phase 3 programme, invite you to a free online technical workshop aimed at those interested in discussing data integration, API use, curriculum context, meta and paradata and integration of resource mashup and commercial content disaggregation and permissions request tools in the context of open educational resources."
This project’s aim is to explore ways in which school librarians can use DL open content to expand and enrich the school library’s resource base and instructional support. This project uses the newest web-based technologies to help school librarians identify DL open content, integrate open content metadata into their OPACs, and help use open content for learning.
La búsqueda y descubrimiento de recursos educativos en repositorios OCW tienen las mismas limitaciones que los buscadores de la Web de Documentos: amplia oferta de resultados, búsqueda basada en similitud de palabras y no en significados, o...
The defining characteristic of open data is that everyone can use it. Data that you have to pay for to reuse isn’t open data because people who can’t afford to pay can’t use it. Data that you can only access after going through an application process, and where that application might be refused, isn’t open data because people whose applications fail can’t use it. Data that you can’t use within a business isn’t open data because people who want to make money from using the data can’t use it. These are some of the fundamental lines between closed and open data.
Via Irina Radchenko