(rr-rdm-checklist)= # Checklist Below follow two checklists, one for individual researchers and one for research teams: # Individual Researcher Checklist - Do not touch the raw data. Back it up somewhere reasonable and keep a read-only copy (see {ref}`Data Storage and Organisation`). - Set up a {ref}`Data Management Plan` to decide how the data is managed. This is especially relevant if you collect {ref}`sensitive data` and need to plan for consent for sharing! - Document everything and keep the documentation with the data (see {ref}`Documentation and Metadata`) to ensure your data is reusable. - Try not to re-invent the wheel. Before you start creating a new schema, storage format or naming protocol, try to find an existing tool: have a (quick) internet search or ask your colleagues (see {ref}`Documentation and Metadata`). Something that is already being used is likely to be better in the long run. - Follow any procedures required by your research group, institute, or country (ethics, integrity codes, policies on data management/open science) See also the [Harvard checklist](https://osf.io/593t6). # Research Team Checklist: This list is based on [Borghi and van Gulick 2022](https://doi.org/10.1162/99608f92.9497f68e) {cite:ps}`Borghi2022checklist`. Discuss the checklist with your team! - Every member of the research team is able to find and use the data, code, documentation and other materials related to this project (project's research materials). - We will continue to do so ten years from now. - Our documentation is maintained and reviewed regularly. - The documentation describes the data management practices of the project and includes roles and responsibilities of individual team members - We have established on/off boarding procedures. - Another researcher from outside the research group but in the same field would be able to find and use the project's research materials. - We have a standardised set of data management practices, including file naming conventions and folder structures (see {ref}`Data Storage and Organisation`). - The data is stored and backed up on recommended data storage systems. - We reviewed all applicable policies (institution, funder, potential publisher). - We have read through and understand other relevant agreements, licenses, or other requirements. - We have sought out community standards and best practices related to our data. - We have set up a {ref}`Data Management Plan` to help us decide what research objects will be made publicly available.