You and your research data

• Reinder Radersma

Room: Top - Know about the FAIR principles and are able to assess your own data product with respect to these principles. - Know the 5 Principles and know where to find the full text and the Standards for good research practices (section 3). - Know about the Code of Conduct for Scientific integrity (2018) and its relation to reproducibility, documentation, reporting (including FAIR meta-data), and the prevention of CoIs. - Know that students' reports are to be treated in confidence. - Know about the Dublin Core meta-data elements

When your data becomes part of something bigger

• David Groep (Nikhef)

Room: Top - Know common persistent identifier schemes; at least DOI, hdnl.net and ORCID. - Possess an ORCID identifier and know how to update basic information in their ORCID record. - Know the importance of applying licenses to data and software for re-usability. - Know the basic licenses for data and software, and know where to find guidance on license application and the main differences between licenses. - Know the basic outline of a data management plan. - Know how to fill in a mock data management plan in NWO format using the on-line tools.

You, your laptop, and somebody else; how to work together¶

• David Groep (Nikhef)

Room: Top - Know how to use Identity Services & Federated Login - Know how to send big files: SURF Filesender - Know how to find and use SURFdrive and CernBox - Understand which services are safe to use and which are not - Know how to use collaboration tools and accessing Mattermost - Know where to find help & guidance - Room for questions and more help

When software enters the stage

• Roel Aaij

Room: Top - Learn how to structure directories to manage processes, incoming, intermediate, and final research data, and to keep (persistent) references to data elements relative to its root. - Learn about research information repositories, and at least get to know Zenodo and arXiv. - Learn about Nikhefs Data Repository; Hadron - Learn how to upload mock data or slides to Hadron and complete the meta-data requirements. - Learn about the importance of (immutable) journal keeping and how to relate journal entries (and Jupyter notebooks) to the corresponding data