This unit presents a broad view of flow cytometry data management, emphasizing ways to create and manage data so as to maximize their immediate and long-term usefulness. The cost in time, money, and effort to create data files in the first place argues for the importance of making full use of files and keeping them from getting lost or becoming uninterpretable. As flow cytometry measurements be...

Social science researchers increasingly make use of data that is confidential because it contains linkages to the identities of people, corporations, etc. The value of this data lies in the ability to join the identifiable entities with external data, such as genome data, geospatial information, and the like. However, the confidentiality of this data is a barrier to its utility and curation, ma...

Open access to research data is increasingly important for accelerating research. Grant authorities therefore request detailed plans how managed in the projects they finance. We have recently developed such a plan EU−H2020 BIG-MAP project—a cross-disciplinary project targeting disruptive battery-material discoveries. Essential reaching goal extensive sharing of across scales, disciplines and st...