![]() ![]() Information can only be valuable when it is in a format that we can use in the long term. To make this investment it will be necessary to put reward systems in place for researchers who take the time and effort to make their data sharable and reusable. Given how much time researchers spent designing, modifying, and recording results, it is crucial that they do this in a way that will allow reuse and sharing of data to ensure maximum yields. Some reasons for this are that data storage opportunities are very fragmented, and that there are not always clear data management practices in place. Ī survey carried out by the Publishing Research Consortium in 2010 showed that even though researchers are aware that it is important to have access to research data, they do not find it easy to access data. At a national level, there are increasingly requirements that researchers submit data management plans when applying for grants to enable data sharing and where possible, reuse. Similarly, the National Institutes of Health has announced that ‘NIH intends to make public access to digital scientific data the standard for all NIH-funded research’. Under Horizon 2020, the European Commission has launched an ‘Open Access to Data Pilot’ where in several core areas researchers are asked to share data, unless they have a reason to opt out. įunding bodies are also actively taking steps to encourage data sharing. The concept of Research Object has been coined to describe complex objects that combine data, software, and workflow components, and discussions on the best way to coordinate efforts for data and storage are carried out in domains as varied as psychiatry, geography, hydrology, asthma studies, and condensed matter physics. With the increased digitization of research, as well as the increased possibilities to store and preserve research data, awareness of the importance of research data preservation, storage and sharing has grown: a key goal has been to preserve data to enable reuse. ![]()
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