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• Fair Data: History and Present Context

  45-53

  Ana Carballo-Garcia

  Juan-José Boté-Vericad

  Views:

  449

  In this paper, we discuss FAIR Data, why it exists, and who it applies to. We further review the principles of FAIR data and how they are managed in research centers. We also discuss the types of problems that researchers encounter, and what an information professional can do to assist them. At present, the vast majority of centers subscribe to the FAIR principles. However, both center and researcher face the arduous task of understanding, managing, and implementing the model. They must know data formats and standards. For a correct description and to facilitate data retrieval and interoperability, they must know about different types of metadata schemas. They must know about digital preservation and specific aspects of knowledge and information management. In addition, there are also ethical issues, intellectual property, and cultural differences. All these controversies translate into extra workload for researchers, who only get a return in the form of citations. It is critical to note that these information professionals can play a key role in the proper management of research data, and can help achieve the objectives described in the principles: making data findable, accessible, interoperable, and reusable.

• Perceptions of effectiveness and performance evaluation in Hungarian higher education in the Carpathian Basin

  26-34

  Katalin Pallay

  Zsuzsanna Demeter-Karászi

  Gabriella Pusztai

  Views:

  157

  Several international studies have addressed the quantitative and qualitative changes in higher education participation and the impact of the evaluative state and institutional quality management on higher education societies (Altbach, 2000; Altbach, 2002; Kwiek & Antonowicz, 2015). However, despite the relatively rich research in higher education in our region, the impact of higher education performance evaluation on the views of faculty members has not been investigated. In our study, we investigate the types of performance evaluation that are typical in higher education in the Carpathian Basin and provide a picture of the perceptions of faculty members on performance evaluation. We will examine the differences and similarities in performance evaluation across the different types of performance. Our research questions concern their homogeneity and interrelationships. We conducted a hybrid coding analysis of the transcripts of qualitative focus group interviews with faculty members in one of the most eastern regions of the European Higher Education Area (EHEA), using data from 2022 on the impact of the introduction of performance evaluation in higher education. The main findings of the study show that faculty members' views on performance show high diversity. There is a correlation in views on performance evaluation, but they are not exclusive. The points to consider in the context of performance evaluation can provide guidance for decision-makers in higher education.