Research Data Management (RDM) is a crucial part of the research process, aiming to make it as efficient and transparent as possible, while meeting the requirements and expectations of the research institution, funding agencies, publishers and legislation. The ethical and scientific benefits of RDM have been well established. Looking at the Data Life Cycle, several external and internal stakeholders can be identified, and among them are academic libraries. Due to their role in library services such as information retrieval and information literacy, reference librarians are often in a close contact with researchers and clinicians. In this position, reference librarians can take up an important role in RDM as well. First of all, they can act as a translator/liaison by supporting researchers in finding their way through a jungle of funder requirements and various stakeholders. In addition, librarians may offer in-depth advice on metadata standards, data documentation, datatypes/formats, data repositories and data publishing/sharing. Furthermore, they can provide the necessary RDM training, and foster RDM awareness among reserachers.
At KU Leuven, an interdisciplinary support team was assembled comprising, among others, of the Research Coordination Office, the ICT services and the KU Leuven Libraries who have been all identified as particularly valuable and valued stakeholders. So far, KU Leuven Libraries has been involved in fostering RDM awareness, providing RDM training, developping a web-based planning tool for DMPs, examining the possibilities for developing an institutional repository, and establishing an university wide RDM policy.
During this workshop, the audience will be introduced briefly to RDM principles and the Data Life Cycle. After which, we will draw on the KU Leuven Libraries experience, to highlight the potential roles of a reference librarian by making use of the different aspects of a DMP.
Learning outcomes : Since this is an introductory workshop, we target mainly the lower order Bloom's skills (level 1-3). To start with, the audience should remember (level 1) the steps in the Data Life Cycle and the various aspects of a Data Management Plan (data collection; documentation/metadata; ethical, legal and privacy issues; data storage and backup during research; data selection and preservation after research; data sharing; and responsabilities and resources) in which a librarian can be involved. At more advanced level, the audience should be able to understand (level 2) the importance of Research Data Management and the specific parts of a Data Management Plan. In addition, participants should be able to recognize and determine (level 3) different data types, to know which metadata standards are important in their field, … . Finally, they should reach the level at which they recognize the pitfalls researchers may encounter, analyze them (level 4) and support/give advice (level 5) to researchers. .
Type of interactivity : The presenters will teach the different steps of the Data Life Cycle and parts of a Data Management Plan by giving an presentation. However, the audience will be challenged to interact by means of practical examples, exercises, group work, …
Level : Introductory
Target audience : Any (biomedical reference) librarian with a keen interest in Research Data Management: those who are already involved in Research Data Management, and those wondering what their role can be in RDM at their institution. In addition, given the similarities between Research Data Management and Clinical Data Management, this workshop will turn out useful for librarians involved in clinical trials as well. And, since the importance of adequate Data Management is not limited to academic institutions/hospitals only, this workshop will be interesting for librarians working for public hospitals as well.
Preparation for the session : No