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==What issues are we trying to solve? == In recent years, the lack of reproducibility of scientific studies has been especially emphasized, as people started to realize how many studies were not able to be reproduced due to the lack of metadata. In wake of this crisis, there has been a shift in how metadata is managed and released during publication. Storing rich metadata ensures that a project can be replicated; for example, a raw sequencing file on its own is not as useful as a file that is associated with the sample species, what tissue it is, the type of sequencing used, etc. As a response to this issue, the NIH has mandated that metadata must be released to the public for a study to be published or receive federal grants. This ensures that published studies can be reproduced, which is important because it confirms that the results and conclusions are accurate. We manage and store data in a manner that meets publication standards. One way that we do so is by inputting data in real time, which avoids loss of metadata. If there is an issue with the metadata, it is much easier to remember the details of an experiment that was performed recently versus months or years ago. This timeline for data upload also allows us to avoid a last minute rush of uploading data at time of publication. We also aim to minimize the activation energy needed for researchers. We handle everything related to data storage, management, and publication, making the data release process as hassle-free as possible and allowing for the researchers to focus more on the primary research.
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