Fundamentals Research Data Management FAIR Data Principles Metadata Ontologies Data Sharing Data Publications Data Management Plan Version Control & Git Public Data Repositories Persistent Identifiers Implementation within DataPLANT Annotated Research Context User Journey ARC Commander QuickStart QuickStart (experts) Swate QuickStart Walk-through Best Practices For Data Annotation DataHUB DataPLAN ARC Commander Manual Setup Installing Dependencies Configure Git Installing the ARC Commander Windows MacOS Linux DataHUB Access Before we start Central Functions Initialize Clone Connect Synchronize Configure Branch ISA Metadata Functions ISA Metadata Investigation Study Assay Update Export Swate Manual Setup Installing Swate Browser Desktop, via installer (beta-stage) Desktop, manually (recommended) MacOS Organization-wide Core Features Annotation tables Building blocks Building Block Types Adding a Building Block Using Units with Building Blocks Filling cells with ontology terms Advanced Term Search Templates Contribute Templates File Picker Expert Features ISA-JSON Frequently Asked Questions Teaching Materials DataPLANT Overview Big Picture ARC structure ARC Demo

Data Management Plan

last updated at 2022-05-19 Data Management Plan

A DMP structures the handling of research data in a scientific project and describes how to deal with the data during and after the end of the project. Many third-party funders, such as DFG, Horizon Europe, or BMBF expect you to provide information on the handling of research data as part of your funding application. Not only is a DMP by now mandatory for a DFG funding in plant sciences, it is always beneficial for your work on a research project.

Advantages of a DMP

A DMP allows you to track the current status of data within your project throughout its entire lifecycle. Thus, it is also helpful for the administration and to keep an overview. Scientific practice shows that you generally profit from the effort spent on better structuring, documentation, and organization of your research data, if you FAIRify and thereby, lower the hurdles of reusing your datasets. Additional personnel, technical, or infrastructural resources required for compliance with your DMP can usually be claimed in third-party funding applications.

Elements of a DMP

When setting up your own data management plan it will be advantageous to know best practices. Many funders have specific requirements and templates for a DMP, which make it easier to follow these practices and the broad range of data management aspects. A DMP can contain the following information

DataPLANT's Data Management Plan Generator

You can write your DMPs offline by using the downloaded template of a funding agency in a text document format. However, a number of web-based DMP tools are currently available that greatly facilitate the process, as they use different templates. DataPLANT helps the community by providing DataPLAN, a Data Management Plan Generator with various building blocks. The tool provides guidance throughout the writing process, as it is a living document. When opening the tool, users first need to select the type of document they want to generate: a detailed european DMP, a short proposal DMP, or a detailed guide through the project. Depending on the choice, the tool will restructure the document and point out errors when information is missing. The tool also gives the possibility to save the document in different formats during or after completion.

DMPG

Follow-up Sources and further information

DataPLANT Support

Besides these technical solutions, DataPLANT supports you with community-engaged data stewardship. For further assistance, feel free to reach out via our helpdesk or by contacting us directly .
✏️ Edit this page