Research data – what and how?
Research data can be described as facts or numbers that have been collected for examination and considered the basis for reasoning, discussion or calculations. In a research context, examples of research data are statistics, results from experiments, measurement data, fieldwork observations, survey data, interviews, recordings (video/audio) and images.*
How can and should I manage my research data?
Data management is how the research material is managed, organized and structured throughout the entire research process. In order to simplify managing the amount of data generated by the collection and in order to avoid time-consuming work afterwards it is important to have a clear structure in how data, materials and documents are organised.
Data Management Plans – an essential part of your planning, reporting and publishing?
Quality assured and correct data management is often facilitated by a well-thought-out Data Management Plan (DMP). Many funders in Europe, England and the US require that you submit a data management plan. This currently applies to both H2020 and ERC-funded projects where a first version of data management plan is to be submitted six months after project launch. A well-formulated description of how to handle and store your data can be one of several success factors in both the application and reporting during and after the completion of research projects. Even among publishers and journals it is emerging to recommend inclusion and publishing a DMP alongside research data connected to the published findings.
Want to learn more about how to manage your research data?
Thursday May 16th KI University Library (KIB) is organising a lecture with Anna Johansson (postdoc/statistician, Department of Medical Epidemiology and Biostatistics). Anna will demonstrate some simple tricks to provide a simple and safe existence for your data and research results, which in the long run leads to better research and a more efficient way of working.
If you have questions regarding data management please contact Research Data Office: email@example.com