Biblio
Analysis of current RDM applications for the interdisciplinary publication of research data. In: Proceedings of the Workshop on Approaches for Making Data Interoperable (AMAR). Proceedings of the Workshop on Approaches for Making Data Interoperable (AMAR). Karlsruhe, Germany: SEMANTiCS Conference 2019; 2019. Available at: https://vsr.informatik.tu-chemnitz.de/research/publications/2019/010/.
. Biodiversity data integration–The significance of data resolution and domain. PLOS Biology. 2019;17:1-16. Available at: https://doi.org/10.1371/journal.pbio.3000183.
Biodiversity Observations Miner: A web application to unlock primary biodiversity data from published literature. Biodiversity Data Journal. 2019;7:e28737. Available at: https://doi.org/10.3897/BDJ.7.e28737.
. Collaborative Research: Predicting post-wildfire sedimentation of reservoirs: probabilistic modeling of debris flow generation and downstream sediment routing. Logan, UT: Utah State University; 2019. Available at: https://digitalcommons.usu.edu/funded_research_data/97.
. Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories. Data Science Journal. 2019;18(1).
. DEIMS-SDR – A web portal to document research sites and their associated data. Ecological Informatics. 2019. Available at: http://www.sciencedirect.com/science/article/pii/S1574954118302528.
Ecological Data Should Not Be So Hard to Find and Reuse. Trends in Ecology & Evolution. 2019. Available at: http://www.sciencedirect.com/science/article/pii/S0169534719301107.
. Establishing a Research Data Management Service on a Health Sciences Campus. Journal of eScience Librarianship. 2019;8(1).
. GeoQuery: Integrating HPC systems and public web-based geospatial data tools. Computers & Geosciences. 2019;122:103 - 112. Available at: http://www.sciencedirect.com/science/article/pii/S0098300418305326.
. Influence of body size, topography, food availability and tree-fall gaps on space use by yellow-footed tortoises (Chelonoidis denticulatus) in Central Amazonia. PLOS ONE. 2019;14:1-18. Available at: https://doi.org/10.1371/journal.pone.0211869.
. Lightweight data management with dtool. PeerJ . 2019;7(e6562).
. An open source web application for distributed geospatial data exploration. 2019;6:190014 - . Available at: https://doi.org/10.1038/sdata.2019.14.
. A two-tiered curriculum to improve data management practices for researchers. PLOS ONE. 2019;14:1-14. Available at: https://doi.org/10.1371/journal.pone.0215509.
. Virtuous and vicious circles in the data life-cycle. Information Research. 2019;24(2). Available at: http://InformationR.net/ir/24-2/paper821.html.
. Addressing Biological Informatics Workforce Needs: A Report from the AIBS Council. BioScience. 2018;68:847-853. Available at: http://dx.doi.org/10.1093/biosci/biy116.
. The Bari Manifesto: An interoperability framework for essential biodiversity variables. Ecological Informatics. 2018. Available at: http://www.sciencedirect.com/science/article/pii/S1574954118301961.
Communicating and disseminating research findings. In: Ecological Informatics. Data Management and Knowledge Discovery. Ecological Informatics. Data Management and Knowledge Discovery. Heidelberg: Springer; 2018:289-317.
. Creating and managing metadata. In: Ecological Informatics. Data Management and Knowledge Discovery. Ecological Informatics. Data Management and Knowledge Discovery. Heidelberg: Springer; 2018:71-88.
. Cyberinfrastructure for Digital Libraries and Archives: Integrating Data Management, Analysis, and Publication. In: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries. Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries. New York, NY, USA: ACM; 2018. Available at: http://doi.acm.org/10.1145/3197026.3200211.
. Data Discovery. In: Ecological Informatics. Data Management and Knowledge Discovery. Ecological Informatics. Data Management and Knowledge Discovery. Springer, Cham; 2018:115-128.
. Data integration: principles and practice. In: Ecological Informatics. Data Management and Knowledge Discovery. Ecological Informatics. Data Management and Knowledge Discovery. Heidelberg: Springer; 2018:129-157 .
. Decoding plant communities across scales. 2018;2(12):1844 - 1845. Available at: https://doi.org/10.1038/s41559-018-0739-4.
. Eleven quick tips for finding research data. PLoS Comput Bio. 2018;14(4).
Facilitating and Improving Environmental Research Data Repository Interoperability. Data Science Journal. 2018;17.
Functional Requirements for Research Data Repositories. International Journal of Knowledge Content Development & Technology. 2018;8(1).
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