Digital Data Practices and the Long Term Ecological Research Program Growing Global
Author(s) -
Helena Karasti,
Karen S. Baker
Publication year - 2008
Publication title -
international journal of digital curation
Language(s) - English
Resource type - Journals
ISSN - 1746-8256
DOI - 10.2218/ijdc.v3i2.57
Subject(s) - data curation , salient , data science , computer science , term (time) , work (physics) , data management , data integration , principal (computer security) , ecology , data mining , engineering , mechanical engineering , physics , quantum mechanics , artificial intelligence , biology , operating system
This paper explores data practices in a Long Term Ecological Research (LTER) setting. It describes a number of salient data characteristics that are specific to the LTER program and outlines some central features of the curation approach cultivated within the US LTER network. It goes on to identify recent developments within the international LTER program relating to data issues: increasing heterogeneities due to networking, integration of data from additional disciplines, and new technologies in a changing digital landscape. Information management experience within LTER provides one example of the recurrent balancing inherent to the work of data curation. It highlights (1) taking into account the extended temporal horizon of data care, (2) aligning support for data, science and information infrastructure, and (3) integrating site and network-level responsibilities. LTER contributes to the inquiry into how to manage the continuity of digital data and to our understanding of how to design a sustainable information infrastructure
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