Biblio
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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.
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.
. Data Quality in Mobile Sensing Datasets for Pervasive Healthcare. In: Handbook of Large-Scale Distributed Computing in Smart Healthcare. Handbook of Large-Scale Distributed Computing in Smart Healthcare. Cham: Springer International Publishing; 2017:217–238. Available at: https://doi.org/10.1007/978-3-319-58280-1_9.
. Design Criteria of Korean LTER Data Platform Model for Full Life-cycle Data Management. International Journal of Applied Engineering Research. 2017;12(3):336-342. Available at: http://www.ripublication.com/Volume/ijaerv12n3.htm.
. Data Lifecycle. In: Geographic Information: Organization, Access, and Use. Geographic Information: Organization, Access, and Use. Cham: Springer International Publishing; 2016:169–186. Available at: http://dx.doi.org/10.1007/978-3-319-22789-4_9.
. . Data sharing tools adopted by the European Biodiversity Observation Network Project. Research Ideas and Outcomes. 2016;2:e9390. Available at: https://doi.org/10.3897/rio.2.e9390.
DataONE: A Data Federation with Provenance Support. In: Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings. Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings. Cham: Springer International Publishing; 2016:230 - 234. Available at: http://dx.doi.org/10.1007/978-3-319-40593-3_28.
A Digital Repository and Execution Platform for Interactive Scholarly Publications in Neuroscience. 2016;14(1):23 - 40. Available at: https://doi.org/10.1007/s12021-015-9276-3.
DOIs and Other Persistent Identifiers in Research Data. Library Staff Papers and Presentations. 2016. Available at: https://open.library.ubc.ca/cIRcle/collections/494/items/1.0319238.
. Data Information Literacy and Undergraduates: A Critical Competency. College & Undergraduate Libraries. 2015;22:97-106. Available at: http://dx.doi.org/10.1080/10691316.2015.1001246.
. The data life cycle applied to our own data. Journal of the Medical Library Association : JMLA. 2015;103(1):40 - 44. Available at: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4279933/.
. Data Management Plans & The DMPTool. 2015. Available at: http://hdl.handle.net/1920/9955.
. Data Curation: A Study of Researcher Practices and Needs. portal: Libraries and the Academy. 2014;14:139–164. Available at: https://muse.jhu.edu/journals/portal_libraries_and_the_academy/v014/14.2.mclure.html .
. Data management in astrobiology: Challenges and opportunities for an interdisciplinary community. Astrobiology. 2014;14:451–461.
. Data management lifecycle and software lifecycle management in the context of conducting science. Journal of Open Research Software. 2014;2:e15.
. Data Management Quick Guides. 2014. Available at: http://digitalcommons.unl.edu/library_talks/103.
. Data narratives: Increasing scholarly value. Proceedings of the American Society for Information Science and Technology. 2014;51:1–4. Available at: http://dx.doi.org/10.1002/meet.2014.14505101088.
. DataUp: A tool to help researchers describe and share tabular data. F1000Research. 2014;3:6. Available at: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304223/.
. DMPTool 2: Expanding Functionality for Better Data Management Planning. International Journal of Digital Curation. 2014;9:324–330.
. Dmptool: Guidance and Resources for Your Data Management Plan; https://dmp.cdlib.org/. Technical Services Quarterly. 2014;31:197-199. Available at: http://dx.doi.org/10.1080/07317131.2014.875394.
. Documenting, storing, and executing models in Ecology: A conceptual framework and real implementation in a global change monitoring program. Environmental Modelling & Software. 2014;52:192 - 199. Available at: http://www.sciencedirect.com/science/article/pii/S1364815213002703.
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