2017, Volume 13, Issue 1
Data Science Systems supporting Continuous Quality Improvement of the scientific institutions pursuing Excellent Science – Science Wizard case study of multiparametric evaluation system
Bartłomiej Jan Barczyński1
1Faculty of Physical Education, Gdansk University of Physical Education and Sport, Poland | 4 MEDICINE REK LLP, Poland
Author for correspondence: Bartłomiej Jan Barczyński; Faculty of Physical Education, Gdansk University of Physical Education and Sport, Poland | 4 MEDICINE REK LLP, Poland; email: firstname.lastname@example.org
Institution management, regardless of its profile, relies on some information gathered from diffused sources, with a need to support its decisions. Despite the dynamic development of modern technology, managers struggle daily with an information overload, a rapid increase in their number, derangement or regulations which are constantly changing. As a consequence and despite a large number of data, they still have the fragmentary knowledge and rely on intuition or promptings. Similarly, a scientific institution faces challenges on a scientific, social and economic ground. Nowadays, decisions concerning scientific activities may also constitute both opportunities and challenges. Competitive advantage is gained by those institutions which have strategic analysis departments or cooperate with data science professionals that may streamline the operation, rationalise decision-making process and affect strategic outcomes to achieve success.
Key words: Academy of Physical Education, evaluation, Impact Factor, law on higher education 2.0, scientometrics, scientific excellence, sports science