INITIAL EXAMPLE DMP
Project Name: Example plan (Horizon 2020 DMP) - Initial Example DMP
Project Identifier: Example-DMP-ID-1
Principal Investigator / Researcher: Kerstin Helbig
Project Data Contact: +49 (0)30 2093-70072, Kerstin.Helbig@hu-berlin.de
Description: The example project is based on ABC and aims to investigate research questions XYZ. Data will be collected for the purpose of quantitative analysis and evidence-based conclusions drawing.
Funder: European Commission (Horizon 2020)

FOR EACH DATA SET SPECIFY THE FOLLOWING:
Data set reference and name
Example test dataset: examplename1.ods; ID: example1

Data set description
Example test dataset will be generated in a laboratory by the project research team. The collected dataset will encompass different methodological approaches. Apart from the research team, the dataset will be useful for other research groups working on similar questions in the area of ABC. As no comparable data is available for secondary analysis at the moment, it is planned to make our dataset publicly available in a disciplinary research data repository along with scholarly journal and open access publications. 

Standards and metadata
We intend to share our dataset in a publicly accessible disciplinary repository using descriptive metadata as required/provided by that repository. Additional metadata to example test dataset will be offered within a separate XML file in a standardised way by using the XXX schema, which is suitable for the discipline. Keywords will be added by using the YYY thesaurus. Files and folders will be versioned and structured by using a name convention consisting of project name, dataset name and ID. 

Data sharing
We aim to publish our software code along with publishing our dataset in a disciplinary repository. Analysis will be performed using freely available open source software tools. 

Archiving and preservation (including storage and backup)
As specified by the "rules of good scientific practice" we aim to preserve data for at least ten years. Approximated end volume of example test dataset is X GB. Associated costs for dataset preparation for archiving will be covered by the project itself. Long-term preservation will be provided and associated costs covered by a selected disciplinary repository. During the project data will be saved daily with backup on a separate server. Backup will be checked at intervals of two weeks.