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Biblio

[ Author(Asc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
R
Roque Fde Oliveir, Uehara-Prado M, Valente-Neto F, et al. A network of monitoring networks for evaluating biodiversity conservation effectiveness in Brazilian protected areas. Perspectives in Ecology and Conservation. 2018;16:177 - 185. Available at: http://www.sciencedirect.com/science/article/pii/S2530064418300336.
Robertson PG, Collins S, Foster D, et al. Long-Term Ecological Research in a Human-Dominated World. BioScience. 2012;62(4):342 - 353.
Rivest EB, Gouhier TC. Complex Environmental Forcing across the Biogeographical Range of Coral Populations. PLoS ONE. 2015;10(3). Available at: http://dx.doi.org/10.1371/journal.pone.0121742.
Riley J. Seeing Standards: A Visualization of the Metadata Universe. 2010. Available at: http://www.dlib.indiana.edu/~jenlrile/metadatamap/.
Reisner BA, Vaughan KTL, Shorish YL. Making Data Management Accessible in the Undergraduate Chemistry Curriculum. Journal of Chemical Education. 2014;91(11):1943-1946. Available at: http://dx.doi.org/10.1021/ed500099h.
Reichman OJ, Jones MB, Schildhauer MP. Challenges and Opportunities of Open Data in Ecology. Science. 2011;331(6018):703 - 705.
Rebich-Hespanha S, Rice RE. Climate and Sustainability| Dominant Visual Frames in Climate Change News Stories: Implications for Formative Evaluation in Climate Change Campaigns. International Journal of Communication. 2016;10. Available at: http://ijoc.org/index.php/ijoc/article/view/4701.
Read KB, Larson C, Gillespie C, Oh SYoung, Surkis A. 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.
Raymond LM, Chandler CL, Lowry RK, et al. Data Publication: Addressing the Issues of Provenance, Attribution, Citation, and Accessibility. 2010.
Ramdeen S. Preservation challenges for geological data at state geological surveys. GeoResJ. 2015;6:213–220.
Rajasekar A, Kum H-C, Crosas M, et al. The DataBridge. SCiENCE. 2013;2:pp–1.
Rahm E, Bernstein PA. A survey of approaches to automatic schema matching. 2011;10(4).
P
Primack RB, Cigliano JA, Parsons ECM. Editorial: Coauthors gone bad; how to avoid publishing conflict and a proposed agreement for co-author teams. Biological Conservation. 2014;176:277 - 280. Available at: http://www.sciencedirect.com/science/article/pii/S0006320714002304.
Pouchard L, Barton A, Zilinski L. 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.
Pouchard LC, Branstetter ML, Cook R, et al. A Linked Science investigation: enhancing climate change data discovery with semantic technologies. Earth Science Informatics . 2013.
Porter JH, Lin CC, Hsiao CW, Lu SS, Jeng MR. Establishing an EML-based Data Management System for Automating Analysis of Field Sensor Data. 2008;23(3):279-285. Available at: http://www.tfri.gov.tw/enu/pub_science_in.aspx?pid=895&catid0=43&catid1=140&pg0=&pg1=1.
Pollock D. Understanding Scientific Data Sharing Outside of the Academy. In: Proceedings of the 79th ASIS&T Annual Meeting: Creating Knowledge, Enhancing Lives Through Information & Technology. Proceedings of the 79th ASIS&T Annual Meeting: Creating Knowledge, Enhancing Lives Through Information & Technology. Silver Springs, MD, USA: American Society for Information Science; 2016. Available at: http://dl.acm.org/citation.cfm?id=3017447.3017591.
Poisot T, Bruneau A, Gonzalez A, Gravel D, Peres-Neto P. 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.
Piwowar HA, Vision TJ, Whitlock MC. Data archiving is a good investment. Nature. 2011;473(7347):285 - 285.
Piwowar HA. A method to track dataset reuse in biomedicine: Filtered GEO accession numbers in PubMed Central. Proceedings of the American Society for Information Science and Technology. 2010;47(1). Available at: http://onlinelibrary.wiley.com/doi/10.1002/meet.14504701450/full.
Peters DPC, Havstad KM, Cushing J, et al. Harnessing the power of big data: infusing the scientific method with machine learning to transform ecology. Ecosphere. 2014;5:1–15. Available at: http://dx.doi.org/10.1890/ES13-00359.1.
Peters DPC, Loescher HW, SanClements MD, Havstad KM. Taking the pulse of a continent: expanding site-based research infrastructure for regional- to continental-scale ecology. Ecosphere. 2014;5:1–23. Available at: http://dx.doi.org/10.1890/ES13-00295.1.
Patton EW, Seyed P, Wang P, et al. SemantEco: A semantically powered modular architecture for integrating distributed environmental and ecological data. Future Generation Computer Systems. 2014;36:430 - 440. Available at: http://www.sciencedirect.com/science/article/pii/S0167739X13001969.
Pascuzzi PE, Nelson MRSapp. Integrating Data Science Tools into a Graduate Level Data Management Course. Journal of eScience Librarianship. 2018;7(3).
Pardo TA, Sayogo DS. Exploring the determinants of publication of scientific data in open data initiative. In: Proceedings of the 5th International Conference on Theory and Practice of Electronic Governance. Proceedings of the 5th International Conference on Theory and Practice of Electronic Governance. Tallinn, Estonia; 2011. Available at: http://doi.acm.org/10.1145/2072069.2072087.

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