Objectives of the Data Rescue Call
Highly valuable datasets are still archived in log books and long time series of plankton collections are sitting in jars, unanalysed, sometimes deteriorating and at risk of being lost. Rescuing historical datasets requires at minimum that research institutions provide data in digital format accompanied by metadata, i.e. information about data sampling, treatments and analysis.
The objectives of the present call is to rescue historical data by funding research institutions directly to help them transform and/or create digital datasets and to encourage them in developing long-term capacity for preparing/archiving data and metadata, thus increasing their level of integration in the Network and fostering their collaboration with European and International research scientists.
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Objectives of the Data Transformation Call
The objective of the Data Transformation call is to transform raw observational and experimental data according to the requirements of EUR-OCEANS Model Integration and Jointly Executed Research Work Packages (3 to 7). The call focuses on, but is not restricted to, the transformation of plankton data, including:
1. Conversion of plankton inventories (e.g. species abundance, total and specific dry/wet mass, pigment concentrations) into carbon biomass data;
2. Collection and synthesis of raw experimental data from field and laboratory studies addressing the parameterisation of plankton metabolic/trophic rates and efficiencies, e.g. growth rates, assimilation efficiencies and grazing rates;
3. Aggregation of plankton data (e.g. pico-, nano- and microplankton inventories from light and epifluorescence microscopy, HPLC, Flow cytometry and remote sensing) into Plankton Functional Types defined by the Dynamic Green Ocean Model (LeQuéré et al., 2005);
4. Validation of taxonomic data against authoritative lists of marine species such as APHIA (including ERMS, the European Register of Marine Species ) or the International Taxonomic Information System (ITIS). |
LOG BOOKS DO NOT LAST FOREVER...