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Manage, Improve and Open up your Research Data PARTHENOS Archived snapshot of the ‘Manage, Improve and Open up your Research Data’ module, which is part of the PARTHENOS Training suite [1], which was developed as part of Work Package 7 in the PARTHENOS project [2]. This module will look at emerging trends and best practice in data management, quality assessment and IPR issues. We will look at policies regarding data management and their implementation, particularly in the framework of a Research Infrastructure. By the end of this module, you should be able to: Understand and describe the FAIR Principles and what they are used for Understand and describe what a Data Management Plan is, and how they are used Understand and explain what Open Data, Open Access and Open Science means for researchers Describe best practices around data management Understand and explain how Research Infrastructures interact with and inform policy on issues around data management Background: The PARTHENOS project [3] recognised that over the past ten years, researchers, institutional leaders and policymakers have begun to speak more and more about infrastructure. As more voices join the conversation, however, it can sometimes become more difficult, rather than less, to understand what exactly research infrastructure is and does. In particular in the humanities, and the digital humanities, the term is used to cover a lot of different projects, resources and approaches. To address this gap, the PARTHENOS cluster of humanities research infrastructure projects devised a series of training modules and resources for researchers, educators, managers, and policy makers who want to learn more about research infrastructures and the issues and methods around them. The modules, which have been released on a rolling basis from late 2016, cover a wide range of awareness levels, requirements and topic areas within the landscape of research infrastructure. This deposit is never intended to replace the online version of the training material on the PARTHENOS website, and is intended as an archive of content. Except where otherwise noted, PARTHENOS content is licensed under a Creative Commons Attribution 4.0 International license CC BY-NC 4.0. [1] https://training.parthenos-project.eu/ [2] WP7 – Skills, Professional Development and Advancement: http://www.parthenos-project.eu/resources/projects-deliverables#1523355756261-be477222-2866 [3] http://www.parthenos-project.eu/ [This is an archived snapshot of an online course. The online course may be updated over time, and though new versions will be created to reflect major changes, the archived version may not match exactly the content of the online version] Supplementary materials: PARTHENOS-owned: Videos: https://youtu.be/JFxunuPF2gw https://youtu.be/3HMbLvcf5is https://youtu.be/AsuJCTs2Ztw https://youtu.be/nfiFOW5xs6w THIRD PARTY: Images: http://training.parthenos-project.eu/wp-content/uploads/2017/07/big-data-EU-Webnerd-small.jpg https://training.parthenos-project.eu/wp-content/uploads/2017/09/laptop-2561018_1920-720x450.jpg https://training.parthenos-project.eu/wp-content/uploads/2017/09/hospice-1793998_1920-720x450.jpg Videos https://vimeo.com/36752317 https://youtu.be/pbBa6Oam7-w https://youtu.be/VFLTJ7D2y5s https://vimeo.com/230736351
Digital Humanities, Open Science, Research Data Management, DMP, Research Infrastructures
Digital Humanities, Open Science, Research Data Management, DMP, Research Infrastructures
| 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). | 0 | |
| 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 |
| views | 3 | |
| downloads | 4 |

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