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Data Managers | Recommendations

1. Assess their position within the open access ecosystem in view of developing collaborative infrastructures and services

Research libraries are encouraged to evaluate their infrastructure and services for research data management and assess how these can serve their designated community in the best possible way. This will allow them to evaluate whether to proceed in developing them further, outsource some of them, or provide shared services (e.g. infrastructures).

2. Develop sustainable business models to ensure long-term service provision

Planning for sources of income should be addressed efficiently and, as much as possible at the outset of service development, while the strategy should be reviewed at regular intervals. Acquiring income may require the diversification of income resources and the layering of the services offered, whereby some services incur charges for the users.

3. Establish mechanisms for data quality that ensure re-use and long-term preservation through collaborative work

To ensure data quality for re-use and long-term preservation data managers have a range of quality assurance and control strategies to use, both manual and automatic. While data managers are expected to take the leading role in close collaboration with research communities (scholarly societies, research institutions and researchers) in establishing citation standards, their collaboration with publishers and journal editors (in essence through editorial policies) is central in ensuring their further enforcement.

4. Acquire certification/accreditation to guarantee high quality services in the long term

Establishing quality assurance mechanisms is important not only for the trustworthiness of research data but of the data centres hosting them. Data centres are thus encouraged to seek appropriate certification and accreditation guaranteeing the quality of their services, such as the Data Seal of Approval and/or other appropriate ISO certification.

5. Support data management through the development of training programmes for researchers and librarians/ technical staff

Libraries should be minimally able to deliver training courses on DMP of general or discipline-specific nature to serve the particular needs of their research communities and librarians as well as more specialized topics like intellectual property rights, licensing, re-use of research data and ethical issues like commercialization, dual use, unintended secondary uses and misappropriation.