Our mission is to develop, integrate and offer high-quality ICT services for research, education, culture, public administration and companies as part of the national research system.
In order to achieve our strategic goals, we have to promote and adhere to good data management practices within our own operations and for our designated user communities. For our customers, we provide services together with instructions, tools and guidelines to ensure and improve the quality of their data its appropriate management and readiness for future use.
This public data policy will promote best data management practices to:
• emphasize that we undertake appropriate institutional steps to help customers to safeguard the availability, usability and retention of their data.
• help us to assure compliance with all applicable laws and regulations as well as internal requirements with respect to data management.
This policy is relevant to all our customers and staff, including contractors and visitors. We have appointed a data protection officer with whom this policy may be discussed. Our data protection officer may be reached using the address privacy[at]csc.fi
The following data management principles are set in this policy:
1. Data ownership is clear and management responsibilities agreed upon.
We do not assert ownership or any intellectual property rights to customers' data in our services. It is the responsibility of the customer to ascertain that they have the necessary rights over data destined for our services. Data management plans may be used in the process of providing data services to customers.
2. Data are documented and their lifecycle defined.
Data management aims to ensure data quality, accuracy, retention and availability along its lifecycle. Data management will be planned in accordance with relevant standards, best practice and FAIR data principles. Data should be systematically produced, structured, identified and documented with metadata and a unique identifier (preferably permanent UI). Documentation will be updated and added along data lifecycle. Beyond technical control and internal integrity checks the quality and accuracy of the data are the responsibility of the data owner. For more information see support for persistent identifiers.
3. Data publicity and protection are managed appropriately.
4. Data are made as open and as interoperable as possible.
Reuse of data is encouraged when possible. We recognize that some data are more sensitive than others and specific issues related to e.g. legislation, ethics, privacy, security should be considered when data is made publicly available. Standardized file formats should be used and data documentation including identifiers, metadata and relevant licensing information released together with the data.
5. Data management solutions favor open standards, protocols and software.
Data management solutions used by us and offered by us to customers will build on open solutions whenever feasible. We also contribute back to the open source community.
6. Data management competencies are recognized and developed in order to support these principles and their implementation.
We will further these principles within our internal activities, customer interaction, training and collaboration with other organizations and infrastructures to ensure compliance with and further development of this policy.