Jumper 2.0 is enterprise web-infrastructure for tagging and linking data objects. Jumper 2.0 lets you search and share high-value data across remote locations using tag (metadata) to capture knowledge about data in remote data stores. It collects these meta-tag profiles in a knowledge base and search engine. The software represents a fundamentally new approach to managing structured data using a Web 2.0 front-end where user-created data profiles identify quality data resources, user contributed information adds real-world knowledge about the data resources, and user-created reviews sort out the worthy resources from the inadequate. Other users can search the knowledgebase for this data. In addition, they can directly contribute what they know about this data to the knowledgebase. It allows end users to act as a filter for what is valuable and build upon mainstream pursuits, but also uncovers valuable data hidden in data silos. Ultimately, Jumper is about using the wisdom of your organization, leveraging the know-how of those who do the work, providing simple and straightforward responses to user inclination, and sharing that knowledge so that others can build upon it.

Platform: Windows 95, Windows 98, Windows NT, Windows 2000, Windows XP, Windows 2003, Mac OSX, Linux

System Requirements: Web Server: Apache Web Server / IIS5 or above