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1. Gather knowledge
The first step towards building a data space is to gather knowledge about IDS core ideas and concepts. This stage is all about expanding your understanding of IDS technologies and core concepts. It is important to leverage every source of information that can help you learn more about the IDS. Once you have a better understanding of IDS, you can start defining your use case and identifying the specific components needed for your solution.
If you are completely new to data spaces, we recommend starting from the basics, to sharpen your understanding of IDS technologies and core ideas. This will link you to every source that could be of help while learning about the IDS. If you are already familiar with the concept of data spaces, feel free to skip below to the more advanced and in-depth reading materials.
A data space is a secure and standardized digital infrastructure that enables trusted data exchange and data-based services among various stakeholders. In the IDS definition, a data space is a virtual space that provides a standardized framework for data exchange, based on common protocols and formats, as well as secure and trusted data sharing mechanisms. The IDS data space is designed to support data sovereignty, meaning that data owners retain control over their data and can determine who can use it and under what conditions. This is called Data Sovereignty.
The IDS data space is intended to support a wide range of applications and industries. The data space is designed to be interoperable with other data spaces, enabling seamless data exchange across different domains and industries. Overall, the IDS data space is a flexible and scalable domain and technology-agnostic framework that enables secure and trusted data exchange and services, while preserving data sovereignty and privacy.
Data sharing in a data space
IDS Reference Architecture Model (IDS RAM)
[The IDS RAM](https://docs.internationaldata spaces.org/ids-ram-4/) is the beating heart of the IDS. It includes the standards for secure and sovereign data exchange, certification, and governance. The RAM serves as the blueprint for trusted ecosystems for data exchange and processing.
The [IDSA rulebook](https://docs.internationaldata spaces.org/idsa-rulebook-v2/) serves several purposes regarding the development and operation of data spaces. The aim is to describe clearly which rules are mandatory and which are optional guidelines. This governance framework includes functional, technical, operational, and legal dimensions:
- Guidelines for the functionality of common services are presented as well as the definition, processes, and services of specific roles.
- Guidelines how to implement or use a technical artefact of the IDSA.
- Guidelines for the work and collaboration within data services.