Text modules for individual projects

Contact person

E-mail address

Institution

TU Dresden

IFW

HZDR

HTW Dresden

Barkhausen Institut

other DRESDEN-concept institution

Other DRESDEN-concept institution:

Are you working at a DRESDEN-concept institution that is not explicitly listed above? Then you can alternatively arrange a meeting with us to get an individual text proposal considering your IT infrastructure and FDM policy. Click here to book an appointment.

Funding: Name the funding institution and, if possible, the funding line and the submission deadline.

Do you already have a DMP draft or documents that could be helpful (draft proposal, template from the funding institution)? Then please use the following upload button to provide it to us as a .zip or .tar.

Upload of documents

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Desired language of the text modules:

German

English

Short description of the research topic: Please briefly describe your research topic and the data that is collected (methods, measurements, data formats, data volume, data processing).

1. Are your research data subject to special legal constraints? (Multiple choice)

Personal data, e.g., in the sense of the European General Data Protection Regulation (GDPR), are processed.

Research data from third parties (research groups, archives, repositories) are reused (licenses, copyright, data use agreement).

Research data are collected in cooperation with commercial enterprises (copyright, non-disclosure agreement, trade secret).

Research data are subject to patents, intellectual property rights or embargoes.

Yes, but option is not listed. (Please use the comment box below.)

No.

Unknown.

Your comments:

2. On which storage systems will you manage your data? (Multiple choice)

Network or group drive of my institution

Own network drive of the institute, the chair, or the research group

Local workstation

Cloud service of my institution

External cloud service (MS OneDrive, Google Drive, Dropbox, ...)

Storage systems for high-performance computing at TU Dresden

Unknown.

Your comments:

3. How will you work with (external) project partners? (Multiple choice)

I work alone.

Research data are shared with (external) partners via my institution's cloud service.

The (external) partners are granted direct access to the research data (via group drive, ...).

Project management with (external) collaborators is conducted via a platform at my institution (for example, working together on documents as a team).

Option is not listed. (Please use the comment box below.)

Unknown.

Your comments:

Do you need services/software for the collection/processing of your data or the management of your project that are not provided by your IT infrastructure?

Yes. (Please provide more details in the comment box below.)

No.

Unknown.

Your comments:

5. How do you want to archive your data after completion of the project or after a scientific publication? (Multiple choice)

Institutional archive system

Independent (e.g., research data repository, hard disk in the closet)

Option not listed (Please use the comment box below.)

Archiving of the data not planned

Unknown

Your comments:

6. Will you make some of your data publicly available to your professional community and, if so, how? (Multiple choice)

Yes, data will be published together with a paper publication.

Yes, data will be published in a data journal.

Yes, data will be published in a research data repository.

Yes, methods, logs, protocols and/or analysis scripts will be published.

Yes, source code will be provided via a public repository (e.g., GitHub).

No.

Unknown.

Your comments:

7. What approaches are being taken to make data reusable, at least for yourself? (Multiple choice)

Developing a comprehensible folder structure and naming conventions

Describing data via metadata (codebook, readme, ...)

Making data comparable via metadata schemas

Using open, non-proprietary data formats

Defining the quality criteria of your own data

Regularly checking the quality of your own data

Participating in training courses on good scientific practice or research data management

Option not listed (Please use the comment box below.)

Your comments:

8. How do you consider the resources needed for RDM? (Multiple choice)

No additional resources are budgeted; implementation of the RDM will be the responsibility of the PI(s).

No additional resources are budgeted; implementation of the RDM will be the responsibility of the future project employees.

No additional resources are budgeted; implementation of the RDM will be the responsibility of an already employed person at the chair or institute.

Additional resources are factored in by explicitly considering the RDM as a task in a work package or milestone.

Additional resources will be budgeted by creating / applying for a position explicitly for RDM.

The RDM in this project does not require any additional resources.

Unknown

Your comments:

Have you indicated "unknown" for many questions? Then use our consultation service to receive an individual text proposal. Click here to book an appointment.

If you have any further questions or comments about this service, please contact the Service Center Research Data. If you have any questions about funding proposals in general, please contact Directorate 5.

Data Protection

Please read our data protection statement.

I hereby confirm that I have read and understood the data protection statement and, under these conditions, voluntarily consent to the processing of my personal data referred to therein.

Willkommen an der TU Dresden

Text modules for individual projects

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