Testing environment
You are using a testing environment. Data you enter in the system can be deleted without any notice.Download the CSV template to get started
With the CSV import tool, it is possible to import papers in bulk to the ORKG. After uploading the CSV file, you will be able to see how to data will be imported (in step 3). Before starting the actual import it is possible to first preview the data to ensure it is read and formatted correctly.
After importing a CSV file, it is possible to create a comparison using the imported papers.
The extracted table should be formatted in such a way that it adheres to the following rules:
Some predefined column labels are used to correctly add paper related data. The column labels are case sensitive.
Additional paper data can be added in additional columns to the CSV. The label of the column will be used as predicate in the ORKG. Also it is possible to use existing ORKG properties, by prefixing the property ID with orkg: For example orkg:P100
Literal values are automatically parsed to assign an appropriate data type to the value. You can overwrite the automatic parsing by manually providing a data type. This can done both in the cell and header. Data types in cells have priority over data types in headers (i.e. the header data type is ignored when a cell data type is provided). Data types are assigned as follows:
Data types always have to be appended to the value. Also make sure there are no trailing white spaces are the data type specification.
| paper:title | paper:authors | paper:publication_month | paper:publication_year | paper:research_field | contribution:research_problem | location | location | value\ | approach |
|---|---|---|---|---|---|---|---|---|---|
| Example paper title 1 | Author 1; Author 2 | 1 | 2020 | R11 | Example problem | resource:Berlin | 237 | We tried to measure… | |
| Example paper title 2 | Author 1; Author 2 | 6 | 2019 | R11 | orkg:R100 | resource:Hannover | resource:Dresden | 12.2\ | For this study, the… |