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Opensciency - A core open science curriculum by and for the research community. Opensciency is core open science curriculum material, drafted to introduce those beginning their open science journey to important definitions, tools, and resources; and provide for participants at all levels recommended practices. The material is made available under a CC-BY 4.0 International license and is structured into five modules: Ethos of Open Science Open Tools and Resources Open Data Open Software Open Results Opensciency is a result of the work of more than 40 open science experts and practitioners from across the world and from different disciplines. The first draft of the curriculum material was developed from June 27 - July 1, 2022 as part of the Transform to Open Science (TOPS) OpenCore sprint. More information about the NASA TOPS initiative is available via their website . After the TOPS Community Panel on October 6, 2022 , the original contributors created the Opensciency repository to allow all contributors to further engage with the curriculum and invite review on the initial draft material from the wider research community. Shared under the CC-BY 4.0 License, all materials remain open for anyone to build open science curriculums or reuse for other purposes. To credit and cite the material, use the following citation: The 0.0.0 release version can be found at this DOI 10.5281/zenodo.7392119 . We encourage the wider community to reuse the material, and we are especially interested in creative approaches to displaying the material. An example we like is Elements of AI . Let us know if you have a creative approach to displaying and reusing the material by submitting an issue . This work is licensed under a Creative Commons Attribution 4.0 International License .
Lecture at Seminar (), ; doi:10.5281/ZENODO.7392119
Open Science, Training
Open Science, Training
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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