Since the emergence of the internet, the volume of data continues to experience a steep increase.
This deluge of information is not about to stop. In the edition of EMC Digital Universe 2014 report, the technology analyst IDC predicts that the volume of the digital universe should weigh 44 000 billion gigabyte in 2020, 10 times more than in 2013. In comparison, the annual volume of data that each household produces would fill 318 iPhones (32Gb) in 2020, compared to 65 in 2013.
The figures speak for themselves; we are in the Big Data era! And, unless you have spent the last 15 years on a desert island, you certainly have participated to this phenomenon.
The transition from paper publishing to online publishing has contributed to the data accumulation, particularly in the scientific field. Scientific research produces and publishes enormous volumes of data, i.e., 1 270 425 million of scientific articles in 2014 according to the Unesco science report , and 2.9 million patent applications in 2015 according to WIPO.
View on a globalized and multipolarized knowledge economy:
In the context of rapid technological change, where any company needs to innovate to differentiate from its competitors and continue to address customer needs, R&D activities are real lever for competitiveness. Having a real-time overview on the production of global scientific knowledge is a major challenge and the need to follow the evolution of the market, to anticipate and to quickly react to potential evolutions is key.
Expernova, a Big Data platform to help you understand the innovation activity of your competitors, partners, suppliers and customers through the analysis of scientific and technological expertise.
- – A data base continuously improved:
The Expernova database is unique with its continuous aggregation since 2008.
- – A global and multisectoral analysis of scientific and technological data:
The Expernova data base covers 3 main geographical zones (North America, Continental Europe, Southeast Asia) and more than 400 scientific domains. The data base of scientific documents (32 million) on which Expernova is based includes more than 300 different data sources (base of Research Institutes, national bases, open access bases, thematic bases, university bases, etc.).
- – A single web interface that gives access to different types of scientific and technological works:
The data base includes 5 types of scientific works: scientific publications (peer reviewed articles, theses, conference proceedings, etc.), patents, European collaborative projects (FP5, 6, 7 and H2020) and American (SBIR and STTR), clinical trials and declarative data (web pages, skill descriptions communicated by organizations etc.).
- – A digital mapping of innovation actors:
Expernova’s vision since 2009 has been to create an Innovation Graph data model of the experts, innovative companies, universities, networks and knowledge that pinpoint innovation opportunity for every industry. This graph’s building blocks come from the scientific and technological data, collected all over the world, targeting the innovation leaders, linking experts with organizations, and tracking the collaborations. This information is stored in our database model that emphasizes the relationships between entities. Expernova’s obsession is connected data!
Expernova opens up new opportunities to its users by providing them with an in-depth analysis of technological expertise and global scientific excellence thanks to the integration of new data each month.
More than 500 000 scientific works are added and/or updated to the entire Expernova database each month.
This month of May saw the following be added:
- – 684 982 new patent families added and 664 109 patent families updated. Grouping patents in patent families helps them to gain in relevance. This process allows us to gather all the published patents and updates about an invention from several geographical areas.
- – More than 135 000 non-patent scientific works (added and updated) such as publications, clinical tirals, projects etc.