Raw data is the primary data collected (e.g. instruments readings) which has not been subject to any manipulation;
Processed data refers to the data obtained after their analysis (e.g. calculation of averages, scotandard deviations, etc.), removal of outliers or errors, normalisations, etc.
Tabular format refers to the data arranged or structured in rows and columns according to the data schema concept of INTERVALS (e.g. in Excel or csv files);
Non-tabular format refers to data in an arbitrary format (e.g. images, text, omics CEL files or pdf files as well as tables not formatted according to the data schema concept).
Dataset information
Enter the description of the dataset. The description should not exceed a few sentences.
Add or edit the study experimental system(s). If your experimental design is not listed below, contact the admin to get it added. It is important to thoroughly select the experimental design(s) as they will be used as filters when searching for datasets on the platform.
Protocols
Add or remove protocols associated to this study. You can associate protocols that have been created separately (through your dashboard).
Metadata
The metadata schema is represented by a tabular form (e.g. Excel) with eight predefined columns: StudyStage, ColumnName, Role, Type, Ontology, Unit, UnitOntology and Description.
The metadata filetemplate is generated following the entries under ColumnName in the metadata schema, and will be used to store the metadata of your experiment.
Click "Validate" button to validate the uploaded files.
Tabular data
The data schema has the same structure as the metadata schema created and uploaded in the previous step and is represented by a tabular form with the following columns headings: StudyStage, ColumnName, Role, Type, Ontology, Unit, UnitOntology and Description.
The data file is generated based on the data schema as in the previous step for metadata file, and it will be used to store the data generated in your experiment.
Click "Validate" button to validate the uploaded files.
Category
Add or edit the study test item(s). A test item is the item on which the dataset was generated. If your test item of interest is not listed below, contact the admin to get it added.
Add or edit the organism(s) on which the dataset was generated. If the study's organisms is not listed below, contact the admin to get it added.
Add or edit the organ tissue(s) on which the dataset was generated. If the study's organ tissue is not listed below, contact the admin to get it added.
Add or edit the dataset disease and pathways. If the dataset's disease or pathway is not listed below, contact the admin to get it added. It is important to throroughly select the disease(s) and pathway(s) as they will be used as filters when searching for datasets on the platform.
