From 61db6c84d55bdfe5195550a09c44bd626cab91ce Mon Sep 17 00:00:00 2001 From: Martin Cook Date: Fri, 23 Jun 2023 10:35:31 +0100 Subject: [PATCH] New Researcher role text --- pages/your_role/researcher.md | 62 ++++++++++++++++++++++------------- 1 file changed, 40 insertions(+), 22 deletions(-) diff --git a/pages/your_role/researcher.md b/pages/your_role/researcher.md index 03a4d47f3..a98fdb933 100644 --- a/pages/your_role/researcher.md +++ b/pages/your_role/researcher.md @@ -11,26 +11,44 @@ training: url: https://tess.elixir-europe.org/search?q=Data%20Management%20Planning#materials --- -## Applies to -PhD candidates, research grant applicants, project managers, group leaders, PIs - -## Scenario -The funding organisation I am applying to requires a data management plan (DMP). I have little experience in writing a DMP, and I am not sure of the level of detail I am required to provide. I have limited access to data management experts within my institution. I am considering using the RDMkit for my data management needs. I also hope to find useful references to local training about data management requirements, data archives and DMP tools. - -I know the types and the approximate amount of data I will generate, but I have not thought about how to share data with my collaborators and how to store data securely. Initially, my plan was to buy a powerful computer and portable hard drive, but I am now thinking that I need to use a national computing infrastructure. The field I work in has well defined data and curation standards, for example, capturing information (metadata) about how to collect and sample my data. However, I am not yet familiar with the importance of storing provenance data, such as tool and database versions used in analysis. - - -## Focus - -* Write data management plans, also in the context of grant applications -* Ensure compliance with institution policy, including legal and ethical aspects -* Ensure proper data organisation and storage -* Ensure secure sharing, reproducibility and preservation of data -* Transmits the good practices in RDM to his group - -## Getting started - -* Check out the various steps of the [RDM life cycle](index), in particular the [planning](planning) stage -* Identify and contact the data steward in your local organisation or your national contact in the [ELIXIR](https://elixir-europe.org/about-us/how-funded/eu-projects/converge/wp1/dm-coordinators) network -* Start planning your project taking the [DMP](data_management_plan) into account +## Introduction +Your research data is a major output from your research project, it supports your research conclusions, and guides yourself and others towards future research. Therefore, managing the data well throughout the project, and sharing it, is a crucial aspect of research. + +## Data management responsibilities + +Data management includes actions throughout all stages of the research process. + +In your role of researcher, you may need to: + + * Write a data management plan; + * Estimate the costs of data management for a grant application; + * Ensure your data complies with ethical, policy and legal requirements; + * Store your data securely, in a resource that is sustained and accessible; + * Use metadata standards and documentation methods for your data; + * Get training about data management, including the use of data management tools and data archives. + +## Data management guidance + +### RDMkit pages + + * [The RDM life cycle pages](https://rdmkit.elixir-europe.org/data_life_cycle) give an overview of how to approach data management tasks. + * [Data management plan](https://rdmkit.elixir-europe.org/data_management_plan) guides you through writing a data management plan. + * [Costs of data management](https://rdmkit.elixir-europe.org/costs_data_management) helps you budget for your project. + * [Compliance](https://rdmkit.elixir-europe.org/compliance_monitoring) helps you comply with the institution policy, including the legal and ethical aspects. + * [National resources](https://rdmkit.elixir-europe.org/national_resources) give country-specific guidance and resources. + * [Documentation and metadata](https://rdmkit.elixir-europe.org/metadata_management) helps you document data and choose the appropriate metadata standards. + * [Data publication](https://rdmkit.elixir-europe.org/data_publication) guides to find a data repository for your needs. + +### Other resources + + * Contact the data steward in your local organisation or your national contact in the [ELIXIR network](https://elixir-europe.org/about-us/how-funded/eu-projects/converge/wp1/dm-coordinators). + * Your institution may have web pages about RDM and support services available. They may also give you in-person advice and provide training. + * [The Turing Way](https://the-turing-way.netlify.app/reproducible-research/rdm.html) handbook to reproducible, ethical and collaborative data science offers guidance to researchers in academia, industry and the public sector. + * [FAIR Cookbook](https://faircookbook.elixir-europe.org/) gives step by step recipes to complete common data management tasks. + * [Data Stewardship Wizard (DSW)](https://ds-wizard.org/) guides through creating a data management plan. + * [FAIRification Framework](https://fairplus-project.eu/fairplus-outputs/) guides through making your data FAIR. + * [TeSS](https://tess.elixir-europe.org/) is a life science training portal, where you can search for training courses or materials on data management. + * [FAIRsharing](https://fairsharing.org/) is a portal where you can search for databases, standards and policies. + * [FAIR Principles](https://www.go-fair.org/fair-principles/) gives an overview of how to make your data Findable, Accessible, Interoperable and Reusable (FAIR). + * [23 Things](https://23things.sites.uu.nl/) provides links to a range of useful resources on data management.