Survey vs Scraped Data: Comparing Time Series Properties of Web and Survey Vacancy Data

This paper studies the relationship between a vacancy population obtained from web crawling and vacancies in the economy inferred by a National Statistics Office (NSO) using a traditional method. We compare the time series properties of samples obtained between 2007 and 2014 by Statistics Netherlands and by a web scraping company. We find that the web and NSO vacancy data present similar time series properties, suggesting that both time series are generated by the same underlying phenomenon: the real number of new vacancies in the economy. We conclude that, in our case study, web-sourced data are able to capture aggregate economic activity in the labor market

OntoJob: Automated Ontology Learning from Labor Market Data

Due to the rapidly changing labor market and the consequently widening information gap between the labor market and education, there is a need for methods that can tackle, or at least ease, the construction of labor market ontologies. The current study set out to examine the viability of Ontology Learning (OL) methods for the (semi-)automated construction of labor market ontologies and / or taxonomies. The purpose of this paper is to propose an unsupervised framework, OntoJob, that can identify and extract from raw vacancy text instances, attributes, and relations, such as job titles, worker qualities, and the non-Taxonomic 'is-A' relations between those concepts, and convert those to an expressive descriptive logic. Evaluation of the extracted worker qualities from OntoJob, using a small sample of 5621 job postings representing 1048 occupations, showed an overall lexical precision of 0.36 and recall of 0.22. </p

Antecedents and outcomes of Hungarian nurses’ career adaptability

Purpose: With the ageing global population the demand for nursing jobs and the requirements for complex care provision are increasing. In consequence, nursing professionals need to be ready to adapt, obtain variety of skills, and engage in career self-management. The current study investigates individual, micro-level, resources and behaviors that can facilitate matching processes between nursing professionals and their jobs. Design/methodology/approach: A survey-based study was conducted among 314 part-time and full-time nursing professionals in Hungary. Findings: Consistent with the career construction theory, this study offers evidence on career adaptability as a self-regulatory resource that might stimulate nurses’ adaptation outcomes. Specifically, it demonstrates positive relationships between adaptive readiness (proactive personality and conscientiousness), career adaptability, adapting behaviors (career planning and proactive skill development) and adaptation outcomes (employability and in-role performance). Research limitations/implications: The cross-sectional design limits causal inference. Relatively small sample of full-time professionals for whom supervisory-ratings were obtained yields the need of further replication. Practical implications: Stimulating development of nurses’ career adaptability, career planning, and proactive skill development can contribute to sustainable career management. It can facilitate the alignment of nurses to performance requirements of their current jobs, preventing individual person-job mismatch. Originality/value: Zooming into the context of nursing professionals in Hungary, the study elucidates the understudied link between adaptivity and adapting responses and answers the call for more research that employs other-ratings of adaptation outcomes. It demonstrates the value of career adaptability resources for nurses’ employability and in-role performance

Towards Responsible Research Career Assessment

Contact: [email protected] Policy brief Growing evidence suggests that the evaluation of researchers’ careers on the basis of narrow definitions of excellence is restricting diversity in academia, both in the development of its labour force and its approaches to address societal challenges. The current research evaluation system is hampering diverse career pathways spanning research, teaching and (community) service. It inhibits the inclusion and retention of minorities, women, people from lower socio-economic backgrounds and meaningful public engagement with research. Improving the evaluation system in a concerted effort with research institutes and other funders will help fully realize a European Research Area (ERA) that is open to all talents. This diversity is essential to sustain academic careers, to strengthen the relevance and impact of science for society, and to enhance the resilience of our society and environment. Advice to MSCA policymakers Increasing attention to responsibility in, of and for research practices (as evidenced in Responsible Research and Innovation and Open Science in the ERA), has galvanized researchers and organisations to call for a change in the research evaluation system. While the academic evaluation landscape is shifting (as documented in the following pages), much remains to be done. The Marie Skłodowska-Curie Actions (MSCA) can spearhead these developments by implementing the following recommendations: Broaden current evaluation criteria of MSCA calls in dialogue with all relevant stakeholders, making responsible use of the options outlined below, to enlarge and modernize the notion of excellence (as done with the Gender dimension). Reward applicants and organisations that engage in open and responsible research through public engagement, science education, open science and ethical research; Provide (online) training for evaluators on implicit bias to reduce the risks of perpetuating narrow interpretations of research excellence in their evaluations; Offer training within the MSCA programme, such as via Innovative Training Networks, to prepare researchers and organizations for open and responsible, academic as well as non-academic careers. This includes a focus on transferable skills such as leadership and community engagement and attention to societal challenges; Reward and showcase MSCA grantees who excel in multiple dimensions of research, teaching, and service by showcasing and rewarding their work prominently on the MSCA website and social media; Support knowledge exchange and communities of practice around diverse and inclusive forms of excellence by involving a wide range of stakeholders (including civil society) in the ongoing discussion around modernizing and diversifying the concepts of excellence, and what counts as good and impactful academic practice. [ this is an excerpt, see pdf below for full policy brief ] For more from the Marie Curie Alumni Association, please see: https://zenodo.org/communities/mca