![]() promote recognition of specific efforts, and encourages inter-disciplinary discussions, about tools and methods that can assist in the rescue of all such data from oblivion.showcase the breadth, depth and diversity of initiatives that can be adopted for recovering and re-using those older research data.draw attention to the high importance which research attaches to its legacy data, particularly in the field of geosciences where physical conditions change,.The 2016 International Data Rescue Award in the Geosciences aims to… Sharing stories about the successful recovery of such datasets will demonstrate the unquestionable value which the older data represent as complements to more modern ones, and will encourage the wider pursuit of rescue efforts. The International Data Rescue Award in the Geosciences was created to raise awareness of the importance of securing access to science's older research data, particularly those with poor preservation outlook or fragile storage conditions, and to urge efforts towards creating robust electronic datasets that can be shared globally via recognized repositories. Consequently, the progress of research suffers unless extra steps are taken to recover the data or transform them to a dependable electronic media. Lack of access may be due to the nature of the formatting (e.g., analogue data, magnetic tapes that lack format description) or the nature of the data curation and/or organization (e.g., no formal database repository, no backup), such that those data cannot be shared. An important consideration is that these datasets are placed into recognized, preferably certified, data repositories and are readily accessible to other researchers for easy re-use. ![]() The contest invited members of the international geosciences and related communities to submit written descriptions of projects that are based on, or substantially involve, the recovery and re-use of scientific data that were not initially accessible for research. The International Data Rescue Award in the Geosciences was created to improve prospects for preservation and access of research data, particularly of dark data, and share the varied ways that these data are being processed, stored, and used. ![]()
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