Models for Engaging Liaisons in Research Data Services

Authors : Megan Sapp Nelson, Abigail Goben

Research data services in academic libraries is often perceived as the purview of liaison librarians. A variety of models has emerged by which these services may be developed or implemented.

These include hierarchical models and those based more on individual interest. Of critical importance with any model, however, is the identification of support and opportunities for engagement from library administration and management in order to grow and assess the implementation of research data services.

URL : Models for Engaging Liaisons in Research Data Services


Foundational Practices of Research Data Management

Authors : Kristin A Briney, Heather Coates, Abigail Goben

The importance of research data has grown as researchers across disciplines seek to ensure reproducibility, facilitate data reuse, and acknowledge data as a valuable scholarly commodity.

Researchers are under increasing pressure to share their data for validation and reuse. Adopting good data management practices allows researchers to efficiently locate their data, understand it, and use it throughout all of the stages of a project and in the future. Additionally, good data management can streamline data analysis, visualization, and reporting, thus making publication less stressful and time-consuming.

By implementing foundational practices of data management, researchers set themselves up for success by formalizing processes and reducing common errors in data handling, which can free up more time for research. This paper provides an introduction to best practices for managing all types of data.

URL : Foundational Practices of Research Data Management