Six Pillars for Data Management Marketing for Researchers

Illustration with the text Marketing Data Services to Researchers and Good Practices

In the final part of the Good Practices series, Mari Elisa Kuusniemi sums up the ideas published during the autumn and considers the importance of marketing data management services.

When working in one's own bubble, it is difficult to see how much information is moving on the outside. As we develop and produce research services, our own world revolves around these things. Sometimes it is difficult to remember that the attention of the target group is quite elsewhere. Without the right content and well-timed marketing, customers will not find the best services.

During the autumn 2021, the Researcher's Data Services Marketing working group has published a series of good practices. The premise has been that no practices are too small to be shared, and ideas have varied from personal contacts to general briefings and official documents.

The Research Data Management Working Group of the European Association of Scientific Libraries (LIBER) has produced the guide 6 Pillars of Engaging Researchers in Research Data Management (RDM).The most important good practices in marketing data management for researchers according to the working group have been compiled in the guide. As the name implies, the document presents six key guidelines (pillars) aimed at increasing knowledge and networking of good data management practices with researchers. It has been nice to note that the LIBER working group and the Researcher Data Services Marketing working group raise the same issues. 

The table below lists the pillars of the guide and the related Good Practices presented earlier in this series

Pillar Good practices (wiki)
1: Employ an Institutional Policy
2: Personally Engage with the Research Community
3: Engage Early-Career Researchers
4: Facilitate Researcher-to-Researcher Communication via Data Stewards

5: Offer RDM Services and Training

6: Communicate Everything You Do



LIBER's guidelines mainly concern consultative services, but also cover other data management services. The guide is applicable to all research organizations and is intended for both fresh and established data management service providers.

The guide brings together important aspects of promoting good data management practices.

Requires a lot of resources and time.

Text: Mari Elisa Kuusniemi, University of Helsinki
Photo: Unsplash / Tamanna Rumvee (edited)

Previously in this series:

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