Supporting the Interdisciplinary, Long-Term Research Project ‘Patterns in Soil-Vegetation-Atmosphere-Systems’ by Data Management Services

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*Title:*	Main Title: Supporting the Interdisciplinary, Long-Term Research Project ‘Patterns in Soil-Vegetation-Atmosphere-Systems’ by Data Management Services
*Description:*	Abstract: Science conducted in cross-institutional, interdisciplinary, long-term research projects requires active sharing of data, documents and further information. Thus, within the Collaborative Research Centre/Transregio 32 ‘Patterns in Soil-Vegetation-Atmosphere Systems’, funded by the German Research Foundation, research data management (RDM) services have been available since early 2007. These services were established to support all researchers during their entire individual research studies. They cover provision of general guidance, support and training for RDM. To fulfil the scientists’ needs and requests with regard to storage, backup, documentation, search and sharing of data with other project members, a project-specific RDM system was designed and implemented. This system was developed and continuously modified in collaboration with the scientists to facilitate their system acceptance. Besides the mentioned services, the system supports further common services such as controlled access to data, rights management, data publication with DOI and data statistics (on repository and single data level). All RDM services provided for the scientists are thus bundled and available to the users in one system: a ‘one-stop-shop’. After more than ten years of RDM service provision for the CRC/TR32, the repository statistics clearly visualize the use of the diverse RDM system services. Furthermore, it has been shown that an RDM adapted to the needs of interdisciplinary researchers can be fruitful and indispensable when scientists conduct their research study e.g. with a time lag. RDM services established at an early stage can contribute to a successful long-term research project.
*Identifier:*	10.5334/dsj-2019-005 (DOI)

Responsible Party

*Creator:*	Constanze Curdt (Author)
*Funding Reference:*	Deutsche Forschungsgemeinschaft (DFG): CRC/TRR 32: Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation
*Publisher:*	Ubiquity Press
*Publication Year:*	2019

Topic

*TR32 Topic:*	Other
*Related Subproject:*	Z1
*Subjects:*	Keywords: Data Management, Research Data, Data Portal
*Geogr. Information Topic:*	Geoscientific Information

File Details

*Filename:*	Curdt_2019_DSJ.pdf
*Data Type:*	Text - Article
*File Size:*	3.3 MB
*Dates:*	Issued: 15.01.2019 Accepted: 14.12.2018
*Mime Type:*	application/pdf
*Data Format:*	PDF
*Language:*	English
*Status:*	Completed

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*Download Permission:*	Only Project Members
*General Access and Use Conditions:*	According to the TR32DB data policy agreement.
*Access Limitations:*	According to the TR32DB data policy agreement.
*Licence:*	[Creative Commons] Attribution 4.0 International (CC BY 4.0)

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Specific Information - Publication

*Publication Status:*	Published
*Review Status:*	Peer reviewed
*Publication Type:*	Article
*Article Type:*	Journal
*Source:*	Data Science Journal
*Source Website:*	https://datascience.codata.org/
*Issue:*	1
*Volume:*	18
*Number of Pages:*	9 (1 - 9)

Metadata Details

*Metadata Creator:*	Constanze Curdt
*Metadata Created:*	24.01.2019
*Metadata Last Updated:*	24.01.2019
*Subproject:*	Z1
*Funding Phase:*	3
*Metadata Language:*	English
*Metadata Version:*	V50

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