The Library Research Support Team assists researchers in compiling comprehensive publication lists. For certain types of applications, researchers are expected or even required to supply for instance h-index information for their publications. The Library Research Support Team can help extract publication lists from Pure etc. More here.
We can also help you to make, maintain and export your CV and publication lists in Pure. See guide here.
Some funders require a data management plan (DMP) either before the project begins or in the first months of the project. A DMP is a document that helps the researcher reflect on, amongst others, the collection, storage and sharing of research data. You can read more about DMPs here or start making your own via DMPonline here.
Research Identifiers can be a bit of a jungle, but Roskilde University Library’s research support team can help you navigate and select the best one for you: ORCID, Scopus Author ID, Publons, Researcher ID, or Google citations? Perhaps you need all of them? Read more in our guide here.
Metadata means ‘data about data’. It is a common label for many different types of structured information. Metadata are used to describe, manage and find for instance research data. Roughly speaking there are three types of metadata: descriptive or bibliographical metadata, administrative – including the technical – metadata and lastly structural metadata. It is recommended to use a well established standard for metadata when it comes to both content (content format) and structure (data format). This makes exchange of data between researchers and systems smoother. Read more in our LibGuide here.
Roskilde University does not have its own digital archive. In some cases, research data must be stored at The Danish National Archives, but otherwise the two main interdisciplinary public digital archives are Zenodo and Figshare. Discipline-specific data repositories can be found via re3data.org. Read more here.
The Library’s advanced literature search course offers assistance to researchers when, for instance, establishing a state of the art for funding applications or literature reviews. The advanced literature search course can also contribute to identifying potential publishing channels and set up notification systems to keep you updated within a field of interest. Read more here.
Open Science and the FAIR principles are increasingly considered as pillars in good research practice. The objectives of the FAIR principles are to make your research data: Findable, Accessible, Interoperable and Reusable. Good data management is an integral part of this. The course introduces the key concepts of Open Science and the advantages of practicing the FAIR principles in research data management. Read more here.
NVivo is a qualitative data analysis software well suited for working with interviews, transcripts, surveys, videos and literature. The purpose of the basic course is to learn how to prepare data for analysis in NVivo, as well as an introduction to some of the analysis functionalities in NVivo. The advanced course builds on the skills founded in the basic course. Read more here.