TÜBİTAK ULAKBİM is launching a new study to analyze the scientific impact of Turkish academic publications indexed in the TR Index in more depth and to increase the visibility of research. In this context, first of all, citations in Turkish open access academic publications in the field of computer science will be classified.

The study aims to determine citation intentions and systematize these intentions using the Citation Typing Ontology (CiTO). By categorizing citations into categories such as supportive, opposing, methodological, general reference and discussion, it is aimed to better analyze the scientific impact of academic publications and increase the visibility of research. This method, which is similar to international examples such as Web of Science's citation context analysis, is a pioneering initiative for Turkish academic literature.

The data set to be obtained at the end of the study will be made available for open access under the CC BY (Creative Commons Attribution) license, assigned a DOI and published on the Aperta platform.

From our researchers to our study "Creating a Citation Context Data Set for Turkish Academic Publications in the Field of Computer Science" "atif.ulakbim.gov.tr" to contribute by tagging the citations.

For any comments and suggestions "ulakbim.atif@tubitak.gov.tr" e-mail address to contact ULAKBIM Citation Analysis Working Group.