Research Data Management and Reference Datasets for the Environmental Sciences
Lund, Sweden, 12 June, 2018
To make scientific work more transparent and in the optimal case even reproducible, the improvement of research documentation is a clear goal in most of the scientific domains and in particular in the data driven environmental sciences. Several national, European and international initiatives and activities evolved to tackle issues in research data management, several of them started quite recently (e.g. GO-FAIR, European Open Science Cloud, Research Data Alliance). Nowadays, research-funding agencies very often demand project proposals to define a data management plan that includes strategies for data description and publication. To support this, a number of research data infrastructures have been implemented at national and international level (for example: www.pangaea.de). However, most of them focus only on the publication of scientific data that is seen an additional or supplemental output to the published publications. A real data management that also supports the daily work of the researchers is usually not offered. Further, to improve comparability among the different research results the availability of reference datasets that serve as harmonized data input or as a mean of reference or comparison do hardly exist. As a next step towards research transparency these things are clearly demanded.
This workshop provides an opportunity for interested researchers to share experiences and discuss requirements on reference datasets and tools and platforms for research data management.
The specific objectives of this half-day workshop (3 hours in total) are:
To discuss state-of-the-art and promising developments in research data management and reference datasets.
To discuss the complexity of common data management in researcher's daily work.
To discuss what a reference data set is and how domain-specific datasets can look like.
The planned agenda for the half-day workshop (3 hours in total) is as follows:
We invite participants to listening to the invited speakers and contribute to the discussions during the workshop.
Stephan Mäs, Daniel Henzen, Lars Bernard – TU Dresden, Germany