Why the researcher must be known about open science?
Open Science represents a new approach to the scientific process based on collaborative work and new ways of disseminating knowledge using digital technologies and new collaborative tools. The idea captures a systemic change in the way science and research have been conducted over the past fifty years. The main objectives from open science must be cleared for any researcher learning with plan S principles and research strategy. Furthermore, Data Management Plan DMP under horizon Europe considerations and what is citizen science definition and how it will be satisfied with various disciplines. Meanwhile, how the shift from the standard practice of publishing research results in scientific publications to sharing all available knowledge earlier in the research process.
The technological developments in different fields of scientific research put the researcher with new challenges about how they will be more diffusion and impact with their thoughts, ideas, critical thinking, data, planning and participate. Open science characteristics focused not only publishing but also for research outcome, collaborative, cross disciplinary and easy society access with compared to closed science. UNISCO 2021 divided open science in to open (sources, access, infrastructure, educational resources, data, lab, funding, notebook, innovation, evaluation, hardware and citizen science) components. Researchers should use these components in order to be open and shareable by using different tools for example: RIO for proposal, Zenodo for data, Zotero for reference libraries, OSF for pre-registration, green and gold open access for publishing.
Plan S is part of a broader open science movement that aims to accelerate the transition to making research results available through open access. Therefore, the followed strategy to be open must began from proposal and use the institutional repository for research paper, in addition to share research output and data (FAIR+OPEN) with research facilities like multidisciplinary and thematic repositories. Also, care your visibility by registry on ORCID and explore new tools for open science for example: GitHub for collaborating with keep your research integrity. While the EU ethics review process is primarily concerned with ethical issues, the project must demonstrate compliance with the general data protection regulation (GDPR). However, the fact that your research is legally permissible does not necessarily mean that it is considered ethical.
From the beginning of research, collect, produce, and use data. Research data management (RDM) is part of the research process. It includes all activities associated with collecting, describing, storing, processing, analyzing, archiving, and accessing data. Good data management is useful for researcher and for others. It makes the data easy to find and makes it accessible and reusable by others. At the end of the project, it makes it easier to archive and share records. The DMP should be updated at least concurrently with the periodic evaluation/assessment of the project. If no further periodic reviews are foreseen in the grant agreement, then such an update must take place no later than the last review. In addition, the consortium may set a review schedule in the DMP itself.
Citizen science is a general name for a wide range of actions and practices. It is possible to understand it by considering the characteristics of those actions and practice with core concepts, disciplinary aspects, leadership and participation, financial aspects, and data and knowledge. Moreover, is the term used to describe a variety of activities in which people from all walks of life participate in a scientific project in a meaningful way. These are found in a variety of scientific disciplines from the natural sciences to the social sciences to the humanities and within each discipline the interpretation of citizen science may vary slightly. Citizen Science is a pillar of the European Commission’s Open Science Policy Platform (OSPP).
Meaningful principles describe the citizen science according involve citizens to generate knowledge or understanding with a genuine science outcome. On the other hand, both professional scientists and the citizen science benefit from tacking part when the last participate in multiple stages of the research process, receive feedback and considered a research approach with limitations and biases that should be considered. Data and metadata are made publicly available and where possible published in an open access format, with acknowledged in research results and publication too. The programmers are evaluated for their scientific output, data quality, participants experiences and wider socialist or policy impact. The realization of these common ambitions requires a modernization of the system of recognition and reward. This modernization should aim to improve quality in each of many key areas in education, research, impact, leadership and universities centers.
As result from above, in open science we can diversification and vitalization of career paths and finding a balance between the individual and the collective by focusing on quality. Therefore, during my PhD journey, I try to regulate the research on open science criteria from starting thought for the idea passing through all steps of plan. Activate metadata in order to publish research data on comfortable form to be more reliable for all public. But that will be according to sensitivity or personality performance. Using passport for open science as a practical guide for PhD student in order to build my strategy. Finally, I think is better idea for me know to start for construct research DMP under horizon Europe in line with FAIR. In addition to thinking serially about the possibilities or limitation of using citizen science during that. Furthermore, put in mind what are the rewards came from open science applicate at the end of research, and even for long time after that for all stockholders.
