Micrometeorological measurements and data management as transferrable skills
- University of Novi Sad, Serbia, Faculty of Agriculture, Department for field and vegetable crops, Novi Sad, Serbia
In a fast-changing global economy, possessing knowledge and skills plays a crucial role in determining individual, institutional, and societal competitiveness and the capacity to drive innovation. The FAIR Micromet Portal FMP2.0 (Roantree et al., 2023; denoted as FKP) and CA20108 FAIRNESS network aim to enhance transferable skills in measurement planning and implementation challenges (creative thinking and problem-solving) and interdisciplinary approaches (the ability to combine work across different fields), with the expectation of improved outcomes.
These skills are highly valued by employers and in great demand in the labor market, making them important drivers of individual career development. However, there often exists a significant diversity among Ph.D. students and new employees (young researchers) regarding functional knowledge and skills, which may result in certain gaps. Identifying whether these gaps relate to soft, hard, or transferable knowledge and skills is essential. A lack of transferable skills can significantly hinder further career development. To address this issue, we have designed a transferrable skills questionnaire to help young researchers and experts assess their transferable skills related to micrometeorological measurements and decide which ones to enhance. The selected skills include micrometeorological instrumentation (principles of work, selection and installation), experiment design (designing micrometeorological measurements in rural and urban areas; anticipating and overcoming the most frequent issues; data and metadata selection), data assimilation (managing different data formats and units), critical control (quality control; identifying different data gaps in micrometeorological data and metadata), and gap filling (different methodologies in filling gaps in data and metadata).
In this study, we present the results of the self-assessment of the first hundred participants.
Literature
Roantree, M., Lalic, B., Savic, S., Milosevic, D., and Scriney, M., 2023: Constructing a Searchable Knowledge Repository for FAIR Climate Data, EGU General Assembly2023, Vienna, Austria, 24–28 Apr 2023, EGU23-7786. https://doi.org/10.5194/egusphere-egu23-7786.
How to cite: Lalic, B. and Firanj Sremac, A.: Micrometeorological measurements and data management as transferrable skills, EMS Annual Meeting 2023, Bratislava, Slovakia, 4–8 Sep 2023, EMS2023-569, https://doi.org/10.5194/ems2023-569, 2023.
