Data in the context of academic work

Every academic discipline produces data – generated by different methods, e. g. surveys, descriptions, experiments, measurements or the analysis of historic or philological sources. Depending on the methods and specific questions this data – frequently referred to as “research data” – exists in different forms. Be it tables, electronic text documents, photographs, films, databases or other. Hence research data can be the object, the side product or the result of research.

Save and backup your research data

Your research data is your working tool and evidence of your work. Take care of your research data! For questions regarding your research data backup, please contact your institution’s IT-experts or the university computer centre (GWDG).

Analyse your research data

You can use different computational methods and digital tools. Many of the services available on the Göttingen Campus can be found in the Service Catalogue of the eResearch Alliance.

Publish your research data

Research data can be stored and published in data-repositories, either geared towards institutions or subjects. Re3data.org lists an overview of subject-specific repositories. National and international funding organizations more and more focus on the handling and publication of research data.

Want to know more about the funding institution’s requirements regarding research data management? Have a look at the Funder’s Requirements and Guidelines compiled by the eResearch Alliance.

Cite your research data

You may assign persistent identifiers (PIDs) to your research data. Thus you create a bibliographic reference you and everybody else who is entitled to work with your data can use.
With these persistent identifiers your research data is easily retrievable and reliably quotable. As a member of DataCite the SUB Göttingen is a DOI allocating agent in the Humanities in Germany.

Use your research data and the data of others

Not only can you use your own data but also the research data of other scientists who have published their data in a repository. By using research data already collected you can answer academic questions more easily and / or comprehensively. The relevance of existing research data for new academic questions depends on the good use of explanatory metadata and the licence by which they are published. Allocating persistent identifiers to make research data retrievable and quotable is part of the foundation for good scientific practice.

Support on research data management

The Göttingen State and University Library encourages (further) advancement of services and infrastructures of research data management for scientist and students on the Göttingen Campus. As a central institution for research data management on the Göttingen Campus the Göttingen eResearch Alliance was founded in 2014.

Our team will be pleased to help you with your questions regarding research data management. Have a look at the homepage of the Göttingen eResearch Alliance or send us an E-Mail.