Research Data Management
Research data management is the core of our work. GFBio aims at supporting individual researchers, research groups and projects to develop and implement effective data management strategies for findable, accessible, interoperable and reusable data as a part of good scientific practice during all stages of the Data Life Cycle.
You can ask us for support in defining your data management strategy as well as setting up your data management plan. We provide access to tools, standards and working platforms, we train your staff and accompany your data management during the entire project term. Find detailed information about GFBio services here.
Find out why research data management is important for your work and have a look at the following movie (The reBiND Project, YouTube).
What are Research Data?
Research data are all digital data which arise from - or are the result of - a research process (Was sind Forschungsdaten, Humboldt-Universität zu Berlin). Museums, archives, libraries or universities are common research data providers. Research data can arise from multiple methods such as observations, simulations, experiments or modeling. Despite enormous differences in characteristics, quantity and format, research data from various scientific fields are essential to multiply human knowledge and wisdom, they drive scientific hypotheses and allow to maintain transparency as well as reproducibility of research results.
|Raw Data|| |
Raw data are initial unprocessed data. Examples are measured data without corrections, photos or samples.
|Primary Data||Primary data are processed data. They can result from the conversion or correction of measurements. Other examples are specific data compilations or annotations.|
|Secondary Data||Data are secondary data when they are re-used. These data were originally collected for a different purpose and used in a new context.|
The German Science Foundation (DFG) states that digital primary reserach data "should be made accessible and freely available to the public upon completion of the research. [...] Depending on the respective discipline, the primary research data are to be defined differently. The scientists and academics should, thus, decide themselves within their respective communities whether this is to include raw data or at what level of aggregation the data are to be stored for the long term."
(DFG, Recommendations for Secure Storage and Availability of Digital Primary Research Data)
What are Metadata?
Metadada are a primary ingredient of your research data. They contain important information about the data content, collection or processing (who, when, what, where, how, how often,...). Only by means of metadata, data portals like GFBio can browse, filter and navigate through huge research data collections. To integrate research data from different partners, metadata have to meet certain standards and use defined terminologies or follow aligned structures. GFBio supports several metadata standards and furthermore supports you in making your metadata standard compliant.