A freely accessible data management client that allows for open source customization.
DataFinder is a Python-based data management client that has been designed specifically for the management of scientific and technical data. One of the key features of the system is that it can handle large amounts of data with ease, making it an ideal solution for organizations that work with big data.
In addition, DataFinder can be easily integrated into existing working environments, which means that users don't need to make major changes to their processes in order to implement it.
The system also provides centralized data administration and standardized meta-tags, which make it much easier to find data and avoid duplication of work. Users can even make use of partial results or input data that has already been generated on the server, without having to recreate it from scratch.
DataFinder also offers a flexible metadata concept, which allows users to attach additional meta-information to the data they are managing. This ensures that all relevant information is captured and can be easily accessed when needed.
As for server-side support, DataFinder relies on open and flexible standards, such as the WebDAV protocol. This allows for easy extensibility and flexibility for future extensions, and means that a range of existing WebDAV server products are supported.
For example, the Tamino XML Server from the Software AG is a commercial solution that can be used with DataFinder, while the open source WebDAV server Catacomb is another option that is available for free. Both of these solutions offer server-side searching and automatic versioning of documents and data, which can be hugely beneficial for organizations that need to manage and access large amounts of data.
In addition, DataFinder can be easily integrated into existing working environments, which means that users don't need to make major changes to their processes in order to implement it.
The system also provides centralized data administration and standardized meta-tags, which make it much easier to find data and avoid duplication of work. Users can even make use of partial results or input data that has already been generated on the server, without having to recreate it from scratch.
DataFinder also offers a flexible metadata concept, which allows users to attach additional meta-information to the data they are managing. This ensures that all relevant information is captured and can be easily accessed when needed.
As for server-side support, DataFinder relies on open and flexible standards, such as the WebDAV protocol. This allows for easy extensibility and flexibility for future extensions, and means that a range of existing WebDAV server products are supported.
For example, the Tamino XML Server from the Software AG is a commercial solution that can be used with DataFinder, while the open source WebDAV server Catacomb is another option that is available for free. Both of these solutions offer server-side searching and automatic versioning of documents and data, which can be hugely beneficial for organizations that need to manage and access large amounts of data.
What's New
Version 1.2.1: N/A