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The CESSDA Data Management Expert Guide (DMEG) is designed by European experts to help social science researchers make their research data Findable, Accessible, Interoperable, and Reusable (FAIR). This is the offline version of the DMEG developed in 2017 and updated in 2019, available as a training resource on the CESSDA Training website. The guide is written for social science researchers who are in an early stage of practicing research data management. With this guide, CESSDA wants to contribute to professionalism in data management and increase the value of research data. The DMEG consists of seven chapters, which go through the research data lifecycle from planning, organising, documenting, processing, storing, and protecting your data to sharing and publishing them: 1. Plan 2. Organize & Document 3. Process 4. Store 5. Protect 6. Archive & Publish 7. Discover In addition to the PDF of the full publication, PDFs of the single chapters can be downloaded separately. This format is aimed to be used as printed handouts for training.
FAIR Data, DMEG, CESSDA, Social Sciences, Research Data, Data Management
FAIR Data, DMEG, CESSDA, Social Sciences, Research Data, Data Management
| 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). | 6 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 1K | |
| downloads | 2K |

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