Data Management Plans: the Importance of Data Management in the BIG‐MAP Project

Ivano Eligio Castelli*, Daniel J. Arismendi-Arrieta, Arghya Bhowmik, Isidora Cekic-Laskovic, Simon Clark, Robert Dominko, Eibar Flores, Jackson Flowers, Karina Ulvskov Frederiksen, Jesper Friis, Alexis Grimaud, Karin Vels Hansen, Laurence J. Hardwick, Kersti Hermansson, Lukas Königer, Hanne Lauritzen, Frédéric Le Cras, Hongjiao Li, Sandrine Lyonnard, Henning LorrmannNicola Marzari, Leszek Niedzicki, Giovanni Pizzi, Fuzhan Rahmanian, Helge Stein, Martin Uhrin, Wolfgang Wenzel, Martin Winter, Christian Wölke, Tejs Vegge*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

141 Downloads (Pure)

Abstract

Open access to research data is increasingly important for accelerating research. Grant authorities therefore request detailed plans for how data is managed in the projects they finance. We have recently developed such a plan for the EU-H2020 BIG-MAP project – a cross-disciplinary project targeting disruptive battery-material discoveries. Essential for reaching the goal is extensive sharing of research data across scales, disciplines and stakeholders, not limited to BIG-MAP and the European BATTERY 2030+ initiative but within the entire battery community. The key challenges faced in developing the data management plan for such a large and complex project were to generate an overview of the enormous amount of data that will be produced, to build an understanding of the data flow within the project and to agree on a roadmap for making all data FAIR. This paper describes the process we followed and how we structured the plan.
Original languageEnglish
JournalBatteries and Supercaps
Volume4
Issue number12
Pages (from-to)1803-1812
Number of pages10
ISSN2566-6223
DOIs
Publication statusPublished - 2021

Keywords

  • Batteries
  • Data curation
  • Data management plan
  • Databases
  • FAIR data

Fingerprint

Dive into the research topics of 'Data Management Plans: the Importance of Data Management in the BIG‐MAP Project'. Together they form a unique fingerprint.

Cite this