Data Management Plans: the Importance of Data Management in the BIG‐MAP Project. Issue 12 (24th September 2021)

• Record Type: Journal Article
• Authors: Castelli, Ivano E.; Arismendi‐Arrieta, Daniel J.; Bhowmik, Arghya; Cekic‐Laskovic, Isidora; Clark, Simon; Dominko, Robert; Flores, Eibar; Flowers, Jackson; Ulvskov Frederiksen, Karina; Friis, Jesper; Grimaud, Alexis; Hansen, Karin Vels; Hardwick, Laurence J.; Hermansson, Kersti; Königer, Lukas; Lauritzen, Hanne; Le Cras, Frédéric; Li, Hongjiao; Lyonnard, Sandrine; Lorrmann, Henning; Marzari, Nicola; Niedzicki, Leszek; Pizzi, Giovanni; Rahmanian, Fuzhan; Stein, Helge; Uhrin, Martin; Wenzel, Wolfgang; Winter, Martin; Wölke, Christian; Vegge, Tejs
• Is Part Of: Batteries & supercaps. Volume 4:Issue 12(2021)
• Page Start: 1803
• Page End: 1812
• Publication Date: 2021-09-24
• Subjects: batteries -- data curation -- data management plan -- databases -- FAIR data; Electrochemistry -- Periodicals; Electrodes -- Periodicals; Electric batteries -- Periodicals; 621.31242
• DOI: 10.1002/batt.202100117
• Languages: English
• ISSNs: 2566-6223

Abstract

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 (findable, accessible, interoperable, reusable). This paper describes the process we followed and how we structured the plan. Abstract : FAIR play : Standardization and ontology have the role of homogenizing the data and make them interoperable. Data Management Plans are increasingly important for accelerating research. Here, we describe the case of BIG‐MAP, a cross‐disciplinary project targeting disruptive battery‐material discoveries. Central in the project is the role of data and its infrastructure to store and exchange research data. Standards and an ontology further ensures data that can be interoperated across different domains, from theory to experiments and artificial intelligence.