... integrity principles, and stresses the importance of distinguishing between organisational monitoring and research data collection. A practical checklist is provided to guide responsible decision-making regarding consent, security, purpose and open science, emphasising that data should be collected only...

...Abstract This chapter explores the multiple roles research managers and administrators (RMAs) play in embedding diversity and inclusion across the research lifecycle. It highlights how responsibilities differ between strategy and lobbying, pre-award, post-award, open science and the emerging use...

... the open science agenda expands transparency and access, potentially empowering underrepresented groups. Yet, it also risks data colonialism, privacy violations and inequities between the Global North and South. Research management diversity leadership international collaboration political polarisation...

... the research cycle make research more inclusive and accessible to the broader society and more responsive to public needs. The chapter concludes by looking at how institutions can align the UNESCO Recommendations on Open Science with research approaches and policies. Open science societal actors research...

... services. This research provides a reference for institutions aiming to build robust RDM infrastructure aligned with evolving research needs and compliance mandates. Data ethics data lifecycle data stewardship open science research support services stakeholder collaboration Introduction As the volume...

... confidence in the field. Replication empirical generalization code sharing strategic management open science data reliability Introduction Scholars have called for shifts in practices to increase the openness and transparency of research ( Aguinis et al., 2018 ; Mirowski, 2018 ; Schwab & Starbuck...

... university context performance outcomes talent management practices Open Science Recognitions and Reward Introduction Michael Beer was one of the first scholars to explain HRM outcomes and the relevance of context ( Beer et al., 1984 , 2015 ). His Harvard model has had two major contributions. First...

..., we see the emergence of a new movement called Open Science (see, among others, Hessels et al., 2021 ; Miedema, 2022 ; UNESCO, 2021 ). This movement covers various aspects of scientific practice and seems to have conquered a strong bridgehead, especially in the Netherlands. Within this movement...

...With the growth of the Open Science movement in the EU from 2015 onwards, it was clear that to be able to achieve open science, the recognition and rewards system of academia needed to change. Publishing research papers as the sole purpose of academic work needs to broaden to all aspects of what...

...; temporarily linked to, for example, a research project or structurally (e.g. the LERU network). Both collaborative innovation and coopetition, as will be discussed later in this chapter, have played an important role in building coalitions and strategic alliances aimed at Open Science and the Recognition...

... (i.e., open science and policy changes at multiple levels). Academic-practice divide credibility of science open science philosophy of science replicability crisis reproducibility crisis science-practice gap The health of an applied science, such as personnel and human resources management (PHRM...

... are compared to the partnership under the conditions of open science. Design/Methodology/Approach This research is based on the totality of concepts and theories, founded on the theory of non-linearity of innovations, which allows defining them as a bilateral process that is open to other players. The list...

... impact open science rigor-relevance gap science communication third mission There are better-paid jobs, there are less stressful jobs, and there are jobs with more predictable career trajectories. But in all probability, readers of this article work in academia. What is it that makes academic work so...

... not to foster high-quality research. Scientific communities and Open Science advocates should learn from inferential reasoning from irreproducible data, and promote incentives for all researchers to explicitly and publicly discuss (1) their methodological commitments, (2) the ways in which they learn from...