Value Xd will be launching an academic platform that universities and research institutions can adopt to bring together faculty, students, and staff in order to exponentially enhance the creation and sharing of unique research tools, analytical models, and dynamic outputs. Value Xd Science is designed as a private analytical ecosystem dedicated to Open Science.
Traditionally, analytical outputs have been documented and shared on paper. However, with the advent of the digital age, institutions, inclusive of universities, libraries and think tanks, have moved their existing analytical wealth from print format to pdf. While print and pdf are abundantly available, rarely do we see an Excel or SPSS file attached to an academic paper. Models and engines that generated the outputs reported are rarely shared, which raises questions regarding the authenticity of the material. While peer and non-peer reviews are fundamental mechanisms that ensure credibility, for science, learning, and our intellectual evolution, all models and engines should in truth be shared along with the outputs.
Value Xd Science removes unwarranted filters and makes the publication of analytical outputs more transparent and dynamic. Imagine reading an article that introduces a new mathematical model for stock valuation, and being able to click on the mathematical equation, and download it into your own user interface, ready for application.
All outputs on Value Xd are married to the engines that created them, and data ownership permissions allowing, the data used can also be accessible to any reader. Students and faculty can enhance the learning experience by sharing models and equations, can collaborate in building them and applying them in their mathematical form, rather than through coder invented abbreviations, which, in essence, interrupt the learning and application of mathematical equations, whatever the specific field or topic.