Dear Data Stewards, dear RDM-Manager,
This is a gentle reminder for our meeting tomorrow from 10am – 12 pm. You can still register here: https://rwth.zoom-x.de/meeting/register/u5wrcOirqT4qG9WzUHgfWiU2KC-GQLihxl2H
We are looking forward to contributions on the topic of data management plans.
First, there will be an update on RDMO and the new features and then two practical examples.
1.) Update RDMO
RDMO as a data management plan tool can be relevant for project groups that complete a DMP together as a team. At the same time, the hierarchies can be used to map a certain structure of the projects involved, which sometimes makes it easier for data stewards to organize the work on the DMPs.
These and other possibilities will be demonstrated and discussed in the presentation.
2.) Introducing the IoP Data Finder - Using RDMO to make research data easier to find
The IoP Data Finder is a web application within the Internet of Production (IoP) cluster of excellence which aims to improve the discoverability of research data within the cluster. At its core, the finder uses the DMP information provided by RDMO to provide researchers with a platform which allows them to search for relevant research conducted in the IoP.
3.) From a Data Map to a Data Management Plan
In the Data Management Plan (DMP) presentation, participants will gain an overview of the objectives of a DMP. They will learn how to approach a research project while considering research data management and the available infrastructure at their institution before initiating a new project. This approach is practical and can be applied directly:
Step 1 involves creating a Data Map of the existing IT infrastructure of the institution and/or the specific field of study.
Step 2 consists of translating this Data Map into a DMP that also addresses the specific requirements of the respective project. We will introduce the DMP tool RDMO as an example since it is used at RWTH. However, the approach using the Data Map and the tool is agnostic and can be adapted to different systems.
We will be happy to see you.
Best Daniela
(on behalf of the RDM-Team)
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Daniela Hausen (Dipl.-Chem., M.LIS)
Subject specialist Chemistry
Data Librarian
IT department
Research Data Managenemt
NFDI4Chem
Task Area 5: Community and Training
University Library
RWTH Aachen University
Templergraben 61
52062 Aachen
Tel.: +49 241 80-90314
Fax: +49 241 80-92273
consultation hours:
Mo-Thu: 9 am – 2pm
Fr: 9 am – 1 pm