Repository Approaches to Improving the Quality of Shared Data and Code

Sharing data and code for reuse has become increasingly important in scientific work over the past decade. However, practice, shared may be unusable, or published results obtained from them irreproducible. Data repository features services contribute significantly to quality, longevity, reusability of datasets. This paper presents a combination original secondary analysis studies focusing on computational reproducibility, curation, gamified design elements that can employed indicate improve quality code. The findings these are sorted into three approaches valuable repositories, archives, other research dissemination platforms.