Earth Science Information Partners, Vision for the Future of Cyberinfrastructure

ESIP is a community of data and information technology practitioners who collaborate across Earth science organizations. Our response comes from the perspective of maximizing technical and organizational cooperation among diverse entities. First, the challenge of overcoming technical, institutional, and cultural barriers for pursuing transformative, interdisciplinary Earth and Space science. Another challenge is building semantic understanding across different research communities seamlessly. Fully taking advantage of the analytical resources available through big earth science data is another challenge, and the last is better support for research code and information provenance to improve and expedite research reproducibility. Regarding specific cyberinfrastructure needs, the first is support for data driven knowledge development via collaborative analytics and visualization. Another recommendation is that NSF leverages existing infrastructures and opportunities for partnering instead of duplicating or creating competing resources. The last need is for project support and sustainability, to transition projects into a next funding phase as appropriate. Our response concludes with an additional consideration regarding education. All stakeholders benefit from education emphasizing aspects of data curation, management, and data and software stewardship. ESIP recommends a multidisciplinary approach to cyberinfrastructure training to support current, as well as future researchers.

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Stronger together: the case for cross-sector collaboration in identifying and preserving at-risk data

Data management, curation, and preservation efforts are chronically under-resourced and overlooked, and we all care about data safety, accuracy, use, and preservation. The trustworthiness of data is critically intertwined with the factors described above, e.g. metadata, provenance, transparency, security, and community [17]. If those factors are not taken into account, rescued data will be of no use regardless of how many times they are duplicated. There are many data professionals and other stakeholders in the data management community collaborating formally and informally to provide stewardship and to identify at-risk data, curate at-risk data, and mitigate the chances for data to become “at risk.” The grassroots data rescue efforts like DataRefuge and others have brought together an energetic, diverse community of passionate citizens and professionals with valuable skills and expertise. Initial connections between DataRefuge and broader communities such as the Research Data Alliance and ESIP have shown value, and point out important gaps and opportunities moving forward. The more we can work together to preserve the data that matter to us all, the more effective and sustainable the our work will be.

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