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In Systematic Literature Reviews primary studies selection is usually divided into smaller steps. It happens because many irrelevant studies returns on Electronic Database search, therefore, when you divide the studies selection evaluating only title, abstract and keywords it is possible to eliminate studies that clearly are not relevant for your review. After the first step, we can perform a full-text analysis and evaluate their relevance for our SLR.
For now, CrowdSLR is not capable of creating an interface for full text selection i.e., only the title and abstract are inserted in Json for evaluation. Therefore, it is necessary to improve this project by allowing crowdsource access and select studies based on full text.
The text was updated successfully, but these errors were encountered:
In Systematic Literature Reviews primary studies selection is usually divided into smaller steps. It happens because many irrelevant studies returns on Electronic Database search, therefore, when you divide the studies selection evaluating only title, abstract and keywords it is possible to eliminate studies that clearly are not relevant for your review. After the first step, we can perform a full-text analysis and evaluate their relevance for our SLR.
For now, CrowdSLR is not capable of creating an interface for full text selection i.e., only the title and abstract are inserted in Json for evaluation. Therefore, it is necessary to improve this project by allowing crowdsource access and select studies based on full text.
The text was updated successfully, but these errors were encountered: