index.md

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default	true	Discover Open Science at VLIZ, where we're making science more efficient, reliable, and transparent. Learn about our mission, values, and core principles. Join us in our journey!	title quotes clickthrough_text clickthrough_url media Open Science title clickthrough_text clickthrough_url ...90% of scientists agreeing that the replicability crisis is real Baker, 2016 https://www.tandfonline.com/action/showCitFormats?doi=10.1080%2F08989621.2021.1981870 title clickthrough_text clickthrough_url The replication crisis has stimulated a movement for open science, encouraging or even requiring researchers to publish their raw data and analysis code... One common response to the replication crisis has been to call for open science Hicks, 2021 https://www.tandfonline.com/doi/full/10.1080/08989621.2021.1962713 title clickthrough_text clickthrough_url Between the dawn of time and 2003, five exabytes of data had been created at Google. By 2010, this amount of data was being created every two days, and by 2021 it was being created every 40 minutes. There are approximately 400,000 bytes of data for every grain of sand on earth Datacamp.com, 2023 https://www.datacamp.com/blog/25-interesting-facts-about-data-science title clickthrough_text clickthrough_url 80% of data scientist's time is spent organizing data Ruiz, 2023 https://www.infoworld.com/article/3228245/the-80-20-data-science-dilemma.html title clickthrough_text clickthrough_url The global datasphere has 90% replicated data and 10% unique data. In the worldwide digital universe, between 80 and 90% of the data is unstructured Simplilearn.com, 2023 https://www.simplilearn.com/data-science-facts-article title clickthrough_text clickthrough_url 90% of the data in the global datasphere is replicated data Petroc, 2020 https://www.statista.com/statistics/1185888/worldwide-global-datasphere-unique-replicated-data/ More About The VLIZ approach /open-science /assets/media/img/cover/graph-nodes-blue-gradient.webp	title image description Our mission and values /assets/media/img/open-science-logo-flask.svg VLIZ is committed to open science. We believe that open science is the best way to advance science and to make it more efficient, reliable and transparent. We are convinced that open science is the best way to make science more inclusive and to increase its societal impact. We are committed to open science because we believe that it is the best way to make science more fun.	title description Objectivity Open science promotes an attitude of impartiality in research, where researchers strive to approach their work without bias or personal interests. title description Trusted Open science emphasizes the importance of honesty in all aspects of research, including reporting findings accurately and transparently. Researchers are expected to be truthful and avoid fabrication or falsification of data. title description Openness Open science values transparency and accessibility. It encourages researchers to eliminate barriers to accessing and sharing data, materials, experiences, and tools. This includes making research outputs, such as data sets and publications, openly available to the scientific community and the public. title description Accountability Open science promotes accountability by holding researchers responsible for their actions and ensuring that they adhere to ethical standards and research integrity. Researchers are expected to be accountable for their methodologies, results, and interpretations. title description Fairness Open science advocates for fairness in research practices. This includes fair attribution of credit to contributors, fair evaluation of research outputs, and fair access to research opportunities and resources. Open science strives to create an inclusive and equitable research environment. title description Stewardship Open science recognizes the responsibility of researchers to protect and promote the research enterprise. This involves taking care of the research process, resources, and relationships within the scientific community. Researchers are encouraged to contribute to the development and improvement of research practices and policies.	title description Adoption of the FAIR Principles The FAIR (Findable, Accessible, Interoperable, and Reusable) Principles provide a framework for making research data more accessible and reusable. These principles emphasize the importance of data discoverability, accessibility, and interoperability, enabling researchers to find and use data more effectively. By adopting the FAIR Principles, researchers and institutions can contribute to the overall goal of open science and fair data. title description Implementation of Data Management Plans Data management plans (DMPs) are essential for ensuring that research data is properly managed, preserved, and shared. DMPs outline the strategies and practices for data collection, organization, documentation, storage, and sharing throughout the research process. By implementing robust DMPs, researchers can ensure that their data is properly managed and made available to others in a fair and transparent manner. title description Promotion of Data Sharing and Collaboration Open sharing of research data promotes collaboration and accelerates scientific progress. Researchers and institutions can prioritize the sharing of research data through data repositories, data archives, and open data platforms. This not only enhances the visibility and impact of research but also allows others to validate and build upon existing findings. Encouraging a culture of data sharing and collaboration can significantly contribute to the advancement of open science and fair data practices title description Education and Training on Open Science and Fair Data To foster a culture of open science and fair data, it is important to provide education and training opportunities to researchers, students, and other stakeholders. Workshops, webinars, and online resources can be developed to raise awareness about the benefits and best practices of open science and fair data. By equipping individuals with the necessary skills and knowledge, we can ensure the widespread adoption of open science principles and fair data practices title description VLIZ supports the Declaration on Research Assessment (DORA) VLIZ advocates for changes in the way research outputs are assessed and evaluated and encourages a more holistic and fair approach to assessing research outputs.

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FAIR values

The FAIR Guiding Principles for scientific data management and stewardship are intended to help improve the Findability, Accessibility, Interoperability, and Reuse of digital assets. The FAIR Principles emphasize machine-actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal human intervention) because humans increasingly rely on computational support to deal with data as a result of the increase in volume, complexity, and creation speed of data.

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