Data carving is a very important topic in digital investigation and computer forensics. And for that reason research is needed to focus on improving data carving techniques to enable digital investigators to retrieve important data and evidence from damaged or corrupted data resources. This paper is the result of a systematic literature review which answers three main questions in data carving filed. The Results fall into four main directions. First it shows the need of realistic data sets for tools testing. Secondly, it points to the need of object validation under fragmented data storage. Thirdly, investigating content based validation and its benefits in digital investigation field. Finally, it points to a new direction in data carving such as in-place data carving, bulk extractor and using semantic validation in data carving. Finally, a set of potential areas of interest are pointed out that needs further research and investigation.