Establishing a Research Data Management Service on a Health Sciences Campus. Journal of Escience Librarianship, 8(1)

Read, K. B., Larson, C., Gillespie, C., Oh, S. Young, & Surkis, A.. (2019). A two-tiered curriculum to improve data management practices for researchers. PLOS ONE, 14, 1-14. presented at the 05. doi:10.1371/journal.pone.0215509

Poisot, T., Bruneau, A., Gonzalez, A., Gravel, D., & Peres-Neto, P.. (2019). Ecological Data Should Not Be So Hard to Find and Reuse. Trends in Ecology & Evolution. doi:https://doi.org/10.1016/j.tree.2019.04.005

Goodman, S., BenYishay, A., Lv, Z., & Runfola, D.. (2019). GeoQuery: Integrating HPC systems and public web- based geospatial data tools. Computers & Geosciences, 122, 103 - 112. doi:https://doi.org/10.1016/j.cageo.2018.10.009

Yakel, E., Faniel, I. M., & Maiorana, Z. J.. (2019). Virtuous and vicious circles in the data life-cycle. Information Research, 24(2). presented at the 04/2019. Retrieved from http://InformationR.net/ir/24-2/paper821.html

Langer, A., Bilz, E., & Gaedke, M.. (2019). Analysis of current RDM applications for the interdisciplinary publication of research data. In Proceedings of the Workshop on Approaches for Making Data Interoperable (AMAR). presented at the 09/2019, Karlsruhe, Germany: SEMANTiCS Conference 2019. Retrieved from https://vsr.informatik.tu-chemnitz.de/research/publications/2019/010/

Curry, P. A., & Moosdorf, N.. (2019). An open source web application for distributed geospatial data exploration, 6, 190014 - . presented at the 02/2019. Retrieved from https://doi.org/10.1038/sdata.2019.14

Muñoz, G., W. Kissling, D., & E. van Loon, E.. (2019). Biodiversity Observations Miner: A web application to unlock primary biodiversity data from published literature. Biodiversity Data Journal, 7, e28737. doi:10.3897/BDJ.7.e28737

Wohner, C., Peterseil, J., Poursanidis, D., Kliment, T., Wilson, M., Mirtl, M., & Chrysoulakis, N.. (2019). DEIMS- SDR – A web portal to document research sites and their associated data. Ecological Informatics. doi:https://doi.org/10.1016/j.ecoinf.2019.01.005

Tavares, A. S., Morcatty, T. Queiroz, Zuanon, J., & Magnusson, W. E.. (2019). 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, 14, 1-18. presented at the 02. doi:10.1371/journal.pone.0211869

Olsson, T. S. G., & Hartley, M.. (2019). Lightweight data management with dtool. PeerJ , 7(e6562). presented at the 03/2019. doi:https://doi.org/10.7717/peerj.6562

Wu, M., Psomopoulos, F., Khalsa, S. J., & de Waard, A.. (2019). Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories. Data Science Journal, 18(1). presented at the 01/2019. doi: http://doi.org/10.5334/dsj-2019-003

Murphy, B. (2019). Collaborative Research: Predicting post-wildfire sedimentation of reservoirs: probabilistic modeling of debris flow generation and downstream sediment routing (No. Paper 97). Funded Research Records. presented at the 03/2019, Logan, UT: Utah State University. Retrieved from https://digitalcommons.usu.edu/funded_research_data/97

Vela, K., & Shin, N.. (2019). Establishing a Research Data Management Service on a Health Sciences Campus. Journal of eScience Librarianship, 8(1). presented at the 03/2019. doi:https://doi.org/10.7191/jeslib.2019.1146 König, C., Weigelt, P., Schrader, J., Taylor, A., Kattge, J., & Kreft, H.. (2019). Biodiversity data integration–The significance of data resolution and domain. PLOS Biology, 17, 1-16. presented at the 03. doi:10.1371/journal.pbio.3000183

Kim, S. (2018). Functional Requirements for Research Data Repositories. International Journal of Knowledge Content Development & Technology, 8(1). presented at the 03/2018.

Xu, W., Esteva, M., & Trelogan, J.. (2018). 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. New York, NY, USA: ACM. doi:10.1145/3197026.3200211

Roque, Fde Oliveir, Uehara-Prado, M., Valente-Neto, F., Quintero, J. Manuel Och, Ribeiro, K. Torres, Martins, M. Bonifacio, et al.. (2018). A network of monitoring networks for evaluating biodiversity conservation effectiveness in Brazilian protected areas. Perspectives in Ecology and Conservation, 16, 177 - 185. doi:https://doi.org/10.1016/j.pecon.2018.10.003

Beardsley, T. M., Gropp, R. E., & Verdier, J. M.. (2018). Addressing Biological Informatics Workforce Needs: A Report from the AIBS Council. BioScience, 68, 847-853. doi:10.1093/biosci/biy116

Pascuzzi, P. E., & Nelson, M. R. Sapp. (2018). Integrating Data Science Tools into a Graduate Level Data Management Course. Journal of eScience Librarianship, 7(3). presented at the 12/2018. doi:10.7191/jeslib.2018.1152

Damschen, E. I. (2018). Decoding plant communities across scales, 2(12), 1844 - 1845. presented at the 2018/12/01. Retrieved from https://doi.org/10.1038/s41559-018-0739-4

Hanson, P. C., Weathers, K. C., Dugan, H. A., & Gries, C.. (2018). The Global Lake Ecological Observatory Network. In Ecological Informatics (pp. 415-433). Springer, Cham. doi:https://doi.org/10.1007/978-3-319-59928-1_19

Vanderbilt, K., & Gaiser, E.. (2017). The International Long Term Ecological Research Network: a platform for collaboration. Ecosphere, 8(2), e01697–n/a. presented at the 02/2017. doi:10.1002/ecs2.1697

McKinley, D. C., Miller-Rushing, A. J., Ballard, H. L., Bonney, R., Brown, H., Cook-Patton, S. C., et al.. (2017). Citizen science can improve conservation science, natural resource management, and environmental protection. The role of citizen science in biological conservation, 208, 15 - 28. presented at the 2017/4//. Retrieved from http://www.sciencedirect.com/science/article/pii/S0006320716301963

Burgess, H. K., DeBey, L. B., Froehlich, H. E., Schmidt, N., Theobald, E. J., Ettinger, A. K., et al.. (2017). The science of citizen science: Exploring barriers to use as a primary research tool. The role of citizen science in biological conservation, 208, 113 - 120. presented at the 2017/4//. Retrieved from http://www.sciencedirect.com/science/article/pii/S0006320716301951

Elag, M. M., Kumar, P., Marini, L., Myers, J. D., Hedstrom, M., & Plale, B. A.. (2017). Identification and characterization of information-networks in long-tail data collections. Environmental Modelling & Software, 94, 100 - 111. doi:http://doi.org/10.1016/j.envsoft.2017.03.032

Hossain, M., Muñoz, H., Wu, R., Fritzinger, E., Dascalu, S. M., & Harris, F. C.. (2017). Becoming DataONE Tier-4 Member Node: Steps taken by the Nevada Research Data Center. In 2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) 2017 Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP). presented at the May. doi:10.1109/OPTIM.2017.7975117 Chirigati, F., & Freire, J.. (2017). Provenance and Reproducibility. In L. Liu & M. Özsu, T. (Eds.), Encyclopedia of Database Systems (pp. 1–5). New York, NY: Springer New York. doi:10.1007/978-1-4899-7993-3_80747-1

Schade, S., Tsinaraki, C., & Roglia, E.. (2017). Scientific data from and for the citizen. First Monday, 22. doi:10.5210/fm.v22i8.7842

Hernández, N., Castro, L. A., Favela, J., Michán, L., & Arnrich, B.. (2017). Data Quality in Mobile Sensing Datasets for Pervasive Healthcare. In S. U. Khan, Zomaya, A. Y., & Abbas, A. (Eds.), Handbook of Large- Scale Distributed Computing in Smart Healthcare (pp. 217–238). Cham: Springer International Publishing. doi:10.1007/978-3-319-58280-1_9

Atwood, T. P., Condon, P. B., Goldman, J., Hohenstein, T., Mills, C. V., & Painter, Z. W.. (2017). Grassroots Professional Development via the New England Research Data Management Roundtables. Journal of eScience Librarianship , 6(2). presented at the 10/2017. doi:https://doi.org/10.7191/jeslib.2017.1111

Sherman, A., Grevatt, H., Davis, M., & Armstrong, M.. (2017). Albertsons Library Data Management Strategic Agenda Summer 2017 - Spring 2019 (No. 4). Boise State University ScholarWorks. presented at the 09/2017, Boise, ID: Boise State University. doi:http://dx.doi.org/10.18122/B2K709

Doiron, D., Marcon, Y., Fortier, I., Burton, P., & Ferretti, V.. (2017). Software Application Profile: Opal and Mica: open-source software solutions for epidemiological data management, harmonization and dissemination. International Journal of Epidemiology, dyx180. doi:10.1093/ije/dyx180

Huh, T., Park, G., Ahn, S., Hwang, S., & Jung, H.. (2017). Design Criteria of Korean LTER Data Platform Model for Full Life-cycle Data Management. International Journal of Applied Engineering Research, 12(3), 336-342. presented at the 03/2107. Retrieved from http://www.ripublication.com/Volume/ijaerv12n3.htm

Teheran, J., Dykstra, D., & Altunay, M.. (2016). Bringing Federated Identity to Grid Computing. In Proceedings of the 11th Annual Cyber and Information Security Research Conference. New York, NY, USA: ACM. doi:10.1145/2897795.2897807

Erickson, J. S., Sheehan, J., Bennett, K. P., & McGuinness, D. L.. (2016). Addressing Scientific Rigor in Data Analytics Using Semantic Workflows. In M. Mattoso & Glavic, B. (Eds.), Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings (pp. 187 - 190). Cham: Springer International Publishing. Retrieved from http://dx.doi.org/10.1007/978-3-319-40593-3_18

Franklin, J., Serra-Diaz, J. M., Syphard, A. D., & Regan, H. M.. (2016). Big data for forecasting the impacts of global change on plant communities. Global Ecology and Biogeography, n/a–n/a. doi:10.1111/geb.12501

Gries, C., Gahler, M. R., Hanson, P. C., Kratz, T. K., & Stanley, E. H.. (2016). Information management at the North Temperate Lakes Long-term Ecological Research site — Successful support of research in a large, diverse, and long running project. Ecological Informatics, -. doi:http://dx.doi.org/10.1016/j.ecoinf.2016.08.007

Ludäscher, B. (2016). A Brief Tour through Provenance in Scientific Workflows and Databases. University of Illinois Research and Tech Reports - Computer Science . presented at the 03/2016, Urbana-Champaign: University of Illinois. Retrieved from http://hdl.handle.net/2142/89717

Henzen, D., Mueller, M., Jirka, S., Senner, I., Kaeseberg, T., Zhang, J., et al.. (2016). A Scientific Data Management Infrastructure for Environmental Monitoring and Modelling. In . presented at the 07/2016, Toulouse, France: International Congress on Environmental Modelling and Software. Retrieved from http://scholarsarchive.byu.edu/iemssconference/2016/Stream-A/23

Buttigieg, P. Luigi, Pafilis, E., E. Lewis, S., Schildhauer, M. P., Walls, R. L., & Mungall, C. J.. (2016). The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation, 7(1), 1 - 12. presented at the 2016//. Retrieved from http://dx.doi.org/10.1186/s13326-016-0097-6

Huh, T., Ahn, S., Nam, D., & Jung, H. - K.. (2016). KNLTER Network: Facilitating Global Data-Sharing. International Journal of Database Theory and Application, 9(9), 241-250. presented at the 09/2016. doi:10.14257/ijdta2016.2016.9.22

Barsky, E. (2016). DOIs and Other Persistent Identifiers in Research Data. Library Staff Papers and Presentations. doi:http://dx.doi.org/10.14288/1.0319238

Bishop, W., & Grubesic, T. H.. (2016). Data Lifecycle. In Geographic Information: Organization, Access, and Use (pp. 169–186). Cham: Springer International Publishing. doi:10.1007/978-3-319-22789-4_9

Murillo, A. P. (2016). How Do Scientists Determine Data Reusability?: A Quasi-experiment Think-aloud Study. In Proceedings of the 79th ASIS&T Annual Meeting: Creating Knowledge, Enhancing Lives Through Information & Technology. Silver Springs, MD, USA: American Society for Information Science. Retrieved from http://dl.acm.org/citation.cfm?id=3017447.3017557

Karpouzoglou, T., Zulkafli, Z., Grainger, S., Dewulf, A., Buytaert, W., & Hannah, D. M.. (2016). Environmental Virtual Observatories (EVOs): prospects for knowledge co-creation and resilience in the Information Age. Current Opinion in Environmental Sustainability, 18, 40–48. doi:10.1016/j.cosust.2015.07.015

Sharma, S., & Sawyer, S.. (2016). Comparing Internal and External Interoperability of Digital Infrastructures. In Proceedings of the 79th ASIS&T Annual Meeting: Creating Knowledge, Enhancing Lives Through Information & Technology. Silver Springs, MD, USA: American Society for Information Science. Retrieved from http://dl.acm.org/citation.cfm?id=3017447.3017538

Kunze, J., Calvert, S., DeBarry, J., Hanlon, M., Janée, G., & Sweat, S.. (2016). Persistence statements: describing digital stickiness. CDL Staff Publications. presented at the 11/2016.

Hodge, V., Jessop, M., Fletcher, M., Weeks, M., Turner, A., Jackson, T., et al.. (2016). A Digital Repository and Execution Platform for Interactive Scholarly Publications in Neuroscience, 14(1), 23 - 40. presented at the 2016/01/01. Retrieved from https://doi.org/10.1007/s12021-015-9276-3

LaDeau, S. L., Han, B. A., Rosi-Marshall, E. J., & Weathers, K. C.. (2016). The Next Decade of Big Data in Ecosystem Science. Ecosystems, 1–10. doi:10.1007/s10021-016-0075-y

Hou, C. - Y., & Mayernik, M.. (2016). Data Management Training Modules: An Initial Survey and Comparison Result.

Smirnova, L., Mergen, P., Groom, Q. John, De Wever, A., Penev, L., Stoev, P., et al.. (2016). Data sharing tools adopted by the European Biodiversity Observation Network Project. Research Ideas and Outcomes, 2, e9390. doi:10.3897/rio.2.e9390

Schmidt, B., Gemeinholzer, B., & Treloar, A.. (2015). Open Data in Global Environmental Research: The Belmont Forum’s Open Data Survey.

Ramdeen, S. (2015). Preservation challenges for geological data at state geological surveys. GeoResJ, 6, 213–220.

Tarboton, D. G., Idaszak, R., Horsburgh, J., Heard, J., Ames, D., Couch, A., et al.. (2015). A Resource Centric Approach For Advancing Collaboration Through Hydrologic Data And Model Sharing.

Kazic, T. (2015). Ten simple rules for experiments’ provenance. PLoS Comput Biol, 11, e1004384. doi:10.1371/journal.pcbi.1004384

Sheehan, S. (2015). Data Management Plans & The DMPTool. Retrieved from http://hdl.handle.net/1920/9955

K Burpee, J., Glushko, B., Goddard, L., Kehoe, I., & Moore, P.. (2015). Outside the Four Corners: Exploring Non- Traditional Scholarly Communication. Scholarly and Research Communication, 6. Retrieved from www.src- online.ca

Vanderbilt, K. L., Lin, C. - C., Lu, S. - S., Kassim, A. Rahman, He, H., Guo, X., et al.. (2015). Fostering ecological data sharing: collaborations in the International Long Term Ecological Research Network. Ecosphere, 6, 1–18. doi:10.1890/ES14-00281.1

Goben, A., & Raszewski, R.. (2015). The data life cycle applied to our own data. Journal of the Medical Library Association : JMLA, 103(1), 40 - 44. presented at the 2015/01/. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4279933/

Goben, A., & Raszewski, R.. (2015). Research Data Management Self-Education for Librarians: A Webliography. Issues in Science and Technology Librarianship. doi:10.5062/F4348HCK

Gallagher, J., Orcutt, J., Simpson, P., Wright, D., Pearlman, J., & Raymond, L.. (2015). Facilitating open exchange of data and information. Earth Science Informatics, 1-19. doi:10.1007/s12145-014-0202-2

Stamatoplos, A., Neville, T., & Henry, D.. (2015). Analyzing the Data Management Environment in a Master's- level Institution. The Journal of Academic Librarianship. doi:10.1016/j.acalib.2015.11.004

Alter, G. C., & Vardigan, M.. (2015). Addressing global data sharing challenges. Journal of Empirical Research on Human Research Ethics, 10, 317–323. doi:10.1177/1556264615591561

Singh, M. Kumar, & Singh, D. K.. (2015). Cataloguing to Facilitate Big Data Analytics. In . INFLIBNET Centre.

Shorish, Y. (2015). Data Information Literacy and Undergraduates: A Critical Competency. College & Undergraduate Libraries, 22, 97-106. doi:10.1080/10691316.2015.1001246

Rivest, E. B., & Gouhier, T. C.. (2015). Complex Environmental Forcing across the Biogeographical Range of Coral Populations. PLoS ONE, 10(3). presented at the 03/2015. doi:10.1371/journal.pone.0121742

Hou, C. - Y. (2015). Meeting the Needs of Data Management Training: The Federation of Earth Science Information Partners (ESIP) Data Management for Scientists Short Course. Issues in Science and Technology Librarianship.

Soranno, P. A., Cheruvelil, K. S., Elliott, K. C., & Montgomery, G. M.. (2015). It's Good to Share: Why Environmental Scientists’ Ethics Are Out of Date. BioScience, 65, 69-73. doi:10.1093/biosci/biu169 Thoegersen, J. L. (2014). Data Management Quick Guides. Retrieved from http://digitalcommons.unl.edu/library_talks/103

Hecht, J., & Cooper, C. B.. (2014). Tribute to Tinbergen: Public Engagement in Ethology. Ethology, 120, 207–214. doi:10.1111/eth.12199

Primack, R. B., Cigliano, J. A., & Parsons, E. C. M.. (2014). Editorial: Coauthors gone bad; how to avoid publishing conflict and a proposed agreement for co-author teams. Biological Conservation, 176, 277 - 280. doi:http://dx.doi.org/10.1016/j.biocon.2014.06.003

Mannheimer, S., Yoon, A., Greenberg, J., Feinstein, E., & Scherle, R.. (2014). A balancing act: The ideal and the realistic in developing Dryad’s preservation policy. First Monday, 19. doi:10.5210/fm.v19i8.5415

Sullivan, B. L., Aycrigg, J. L., Barry, J. H., Bonney, R. E., Bruns, N., Cooper, C. B., et al.. (2014). The eBird enterprise: An integrated approach to development and application of citizen science. Biological Conservation, 169, 31 - 40. doi:http://dx.doi.org/10.1016/j.biocon.2013.11.003

Rosemartin, A. H., Crimmins, T. M., Enquist, C. A. F., Gerst, K. L., Kellermann, J. L., Posthumus, E. E., et al.. (2014). Organizing phenological data resources to inform natural resource conservation, 173, 90 - 97. presented at the 2014/5//. Retrieved from http://www.sciencedirect.com/science/article/pii/S0006320713002334

Mayernik, M. S., Davis, L., Kelly, K., Dattore, B., Strand, G., Worley, S. J., & Marlino, M.. (2014). Research Center Insights into Data Curation Education and Curriculum. In ?. Bolikowski, Casarosa, V., Goodale, P., Houssos, N., Manghi, P., & Schirrwagen, J. (Eds.), Theory and Practice of Digital Libraries – TPDL 2013 Selected Workshops (Vol. 416, pp. 239-248). Springer International Publishing. doi:10.1007/978-3-319-08425-1_26

Bonet, F. J., Pérez-Pérez, R., Benito, B. M., de Albuquerque, F. Suzart, & Zamora, R.. (2014). Documenting, storing, and executing models in Ecology: A conceptual framework and real implementation in a global change monitoring program. Environmental Modelling & Software, 52, 192 - 199. doi:http://dx.doi.org/10.1016/j.envsoft.2013.10.027

Basney, J., Fleury, T., & Gaynor, J.. (2014). CILogon: A federated X.509 certification authority for cyberinfrastructure logon. Concurrency and Computation: Practice and Experience, 26, 2225–2239. doi:10.1002/cpe.3265

Corbett, M., Deardorff, A., & Kovar-Gough, I.. (2014). Emerging Data Management Roles for Health Librarians in Electronic Medical Records. Journal of the Canadian Health Libraries Association / Journal de l'Association des bibliothèques de la santé du Canada, 35, 55–59} doi = {10.5596/c14-022. Retrieved from http://ejournals.library.ualberta.ca/index.php/jchla/article/view/22901

Levine, M. (2014). Copyright, Open Data, and the Availability-Usability Gap. In Research Data Management: Practical Strategies for Information Professionals (p. 129). Purdue University Press.

W Lenhardt, C., Ahalt, S., Blanton, B., Christopherson, L., & Idaszak, R.. (2014). Data management lifecycle and software lifecycle management in the context of conducting science. Journal of Open Research Software, 2, e15. doi:10.5334/jors.ax

Walters, T. (2014). Assimilating Digital Repositories Into the Active Research Process. In Research Data Management: Practical Strategies for Information Professionals (pp. 189–201). Purdue University Press. Peters, D. P. C., Havstad, K. M., Cushing, J., Tweedie, C., Fuentes, O., & Villanueva-Rosales, N.. (2014). Harnessing the power of big data: infusing the scientific method with machine learning to transform ecology. Ecosphere, 5, 1–15. doi:10.1890/ES13-00359.1

Smith, M. (2014). Where Technology and Policy Collide. In Research Data Management: Practical Strategies for Information Professionals (p. 45). Purdue University Press.

Reisner, B. A., Vaughan, K. T. L., & Shorish, Y. L.. (2014). Making Data Management Accessible in the Undergraduate Chemistry Curriculum. Journal of Chemical Education, 91(11), 1943-1946. presented at the 11/2014. doi:10.1021/ed500099h

Stevenson, R. D., Klemow, K. M., & Gross, L. J.. (2014). Harnessing bits and bytes to transform ecology education. Frontiers in Ecology and the Environment, 12, 306–307. doi:10.1890/1540-9295-12.5.306

Aydinoglu, A. U., Suomela, T., & Malone, J.. (2014). Data management in astrobiology: Challenges and opportunities for an interdisciplinary community. Astrobiology, 14, 451–461. doi:10.1089/ast.2013.1127

Whitmire, A. L. (2014). Implementing a graduate-level data information literacy curriculum at Oregon State University: approach, outcomes and lessons learned. Retrieved from http://hdl.handle.net/1957/47005

Kafel, D., Creamer, A. T., & Martin, E. R.. (2014). Building the New England Collaborative Data Management Curriculum. Journal of eScience Librarianship, 3(1), 60-66. presented at the 2014. Retrieved from 10.7191/jeslib.2014.1066

Atwood, T. P. (2014). NSF Data Management Plans. Retrieved from http://works.bepress.com/tpatwood/5/

McLure, M., Level, A. V., Cranston, C. L., Oehlerts, B., & Culbertson, M.. (2014). Data Curation: A Study of Researcher Practices and Needs. portal: Libraries and the Academy, 14, 139–164. Retrieved from https://muse.jhu.edu/journals/portal_libraries_and_the_academy/v014/14.2.mclure.html

O'Malley, D. L. (2014). Gaining Traction in Research Data Management Support: A Case Study. Journal of eScience Librarianship, 3(1), 74-79. presented at the 2014. Retrieved from 10.7191/jeslib.2014.1059

Belter, C. W. (2014). Measuring the value of research data: a citation analysis of oceanographic data sets. PloS one, 9, e92590. doi:10.1371/journal.pone.0092590

Peters, D. P. C., Loescher, H. W., SanClements, M. D., & Havstad, K. M.. (2014). Taking the pulse of a continent: expanding site-based research infrastructure for regional- to continental-scale ecology. Ecosphere, 5, 1–23. doi:10.1890/ES13-00295.1

Mason, S. J. K., Cleveland, S. B., Llovet, P., Izurieta, C., & Poole, G. C.. (2014). A centralized tool for managing, archiving, and serving point-in-time data in ecological research laboratories. Environmental Modelling & Software, 51, 59 - 69. doi:http://dx.doi.org/10.1016/j.envsoft.2013.09.008

Coates, H. (2014). Ensuring research integrity The role of data management in current crises. College & Research Libraries News, 75, 598–601.

Eaker, C. (2014). Educating researchers for effective data management. Bulletin of the American Society for Information Science and Technology, 40, 45–46. doi:10.1002/bult.2014.1720400314

Ellwein, A. L., Hartley, L. M., Donovan, S., & Billick, I.. (2014). Using Rich Context and Data Exploration to Improve Engagement with Climate Data and Data Literacy: Bringing a Field Station into the College Classroom. Journal of Geoscience EducationJournal of Geoscience Education, 62(4), 578 - 586. presented at the 2014/11/01. doi:10.5408/13-034

Rüegg, J., Gries, C., Bond-Lamberty, B., Bowen, G. J., Felzer, B. S., McIntyre, N. E., et al.. (2014). Completing the data life cycle: using information management in macrosystems ecology research. Frontiers in Ecology and the Environment, 12, 24–30. doi:10.1890/120375

Anderson, K. (2014). Managing & Sharing Your Research Data. Retrieved from https://hdl.handle.net/10355/44074

Levy, O., Ball, B. A., Bond-Lamberty, B., Cheruvelil, K. S., Finley, A. O., Lottig, N. R., et al.. (2014). Approaches to advance scientific understanding of macrosystems ecology. Frontiers in Ecology and the Environment, 12, 15–23. doi:10.1890/130019

Johnston, L. R. (2014). A Workflow Model for Curating Research Data in the University of Minnesota Libraries: Report from the 2013 Data Curation Pilot. Retrieved from http://hdl.handle.net/11299/162338

Nativi, S., Craglia, M., & Pearlman, J.. (2013). Earth Science Infrastructures Interoperability: The Brokering Approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6, 1118-1129. presented at the June. doi:10.1109/JSTARS.2013.2243113

Candela, L., Castelli, D., & Pagano, P.. (2013). Virtual Research Environments: An Overview and a Research Agenda. Data Science Journal, 12, GRDI75-GRDI81. doi:10.2481/dsj.GRDI-013

Jasny, B. R. (2013). Realities of Data Sharing Using the Genome Wars as Case Study - Historical Perspective and Commentary. EPJ Data Science, 2. doi:10.1140/epjds13

Van Noorden, R. (2013). Data-sharing: everything on display. Nature, 500, 243–245. doi:10.1038/nj7461-243a

Monastersky, R. (2013). Publishing frontiers: The library reboot. Nature, 495(7442). presented at the 03/2013. doi:10.1038/495430a

Sutton, S., Barber, D., & Whitmire, A. L.. (2013). Oregon State University Libraries and Press Strategic Agenda for Research Data Services. Retrieved from http://hdl.handle.net/1957/38794

Morris, B. D., & White, E. P.. (2013). The EcoData Retriever: Improving Access to Existing Ecological Data. PLoS ONE, 8(6). presented at the 06/2013. doi:10.1371/journal.pone.0065848

Bjork, K., Isaak, D., & Vyhnanek, K.. (2013). The Changing Roles of Repositories: Where We Are and Where We Are Headed. Retrieved from http://hdl.handle.net/2376/4357

Cooper, J., Noon, M., Jones, C., Kahn, E., & Arbuckle, P.. (2013). Big Data in Life Cycle Assessment, 17, 796–799. doi:10.1111/jiec.12069

Gura, T. (2013). Citizen science: amateur experts. Nature, 496, 259–261. doi:10.1038/nj7444-259a

Deards, K. (2013). Why, How, and Where We’re Going Next: A Multi-Institution Look at Data Management Service. Research Data Management, 43.

Salayandia, L., Gates, A. Q., & Pennington, D.. (2013). MetaShare: Constructing Actionable Data Management Plans through Formal Semantics. In Research Data Management Implementations Workshop.

Wang, J., Sun, J., Zhu, Y., & Yang, Y.. (2013). A Study on the Organizational Architecture and Standard System of the Data Sharing Network of Earth System Science in China. Data Science Journal, 12, 91-101. doi:10.2481/dsj.13-031

Eaker, C., Thomer, A. K., Johns, E., & Siddell, K.. (2013). How information science professionals add value in a scientific research center. Retrieved from http://hdl.handle.net/2142/42103

Dragut, E. C., Baker, P., Xu, J., Sarfraz, M. I., Bertino, E., Madhkour, A., et al.. (2013). CRIS - Computational research infrastructure for science. In Information Reuse and Integration (IRI), 2013 IEEE 14th International Conference on. presented at the Aug. doi:10.1109/IRI.2013.6642486

Davis, H. M. (2013). SWETS North America Scholarship Essay. Against the Grain, 25(1). presented at the 02/2013. doi:10.7771/2380-176X.6421

Collins, S., Goldberg, D., Schimel, J., & McCarter, K.. (2013). ESA and Scientific Publishing—Past, Present, and Pathways to the Future. Bulletin of the Ecological Society of America, 94(1), 4 - 11. presented at the 01/2013. doi:10.1890/0012-9623-94.1.4

Aydinoglu, A. U. (2013). Toward a New Understanding of Virtual Research Collaborations. SAGE Open, 3. doi:10.1177/2158244013507269

Missier, P., Bryans, J., Danger, R., & Curcin, V.. (2013). Preserving privacy in shared provenance data.

Miller-Rushing, A., & Benz, S.. (2013). Workshop 1: Conference on Public Participation in Scientific Research 2012: An International, Interdisciplinary Conference. Bulletin of the Ecological Society of America, 94(1), 112 - 117. presented at the 01/2013. doi:10.1890/0012-9623-94.1.112

Williams, S. C. (2013). Gathering feedback from early-career faculty: Speaking with and surveying agricultural faculty members about research data. Journal of eScience Librarianship, 2, 4. doi:10.7191/jeslib.2013.1048

Rzepa, H. S. (2013). Chemical datuments as scientific enablers. Journal of Cheminformatics, 5(1), 6. presented at the 2013. doi:10.1186/1758-2946-5-6

Rosner, H. (2013). Data on Wings. Scientific American, 308(2), 68 - 73. presented at the 1/2013. doi:10.1038/scientificamerican0213-68

Leonelli, S., Smirnoff, N., Moore, J., Cook, C., & Bastow, R.. (2013). Making open data work for plant scientists. Journal of Experimental Botany, 64, 4109-4117. doi:10.1093/jxb/ert273

Rosner, H. (2013). Public Participation in Research Back in Vogue with Ascent of "Citizen Science". Scientific American, February. Retrieved from http://www.scientificamerican.com/article.cfm?id=public-participation-research-back-in-vogue-ascent- citizen-science

Karagiannis, F., Keramida, D., Ioannidis, Y., Laure, E., Vitlacil, D., & Short, F.. (2013). Technological and Organisational Aspects of Global Research Data Infrastructures Towards Year 2020. Data Science Journal, 12, GRDI1-GRDI5. doi:10.2481/dsj.GRDI-001 Belhajjame, K., Embury, S., & Paton, N.. (2013). Verification of Semantic Web Service Annotations Using Ontology-Based Partitioning. IEEE Transactions on Services Computing, 1 - 1. presented at the 2013. doi:10.1109/TSC.2013.4

Rajasekar, A., Kum, H. - C., Crosas, M., Crabtree, J., Sankaran, S., Lander, H., et al.. (2013). The DataBridge. SCiENCE, 2, pp–1.

Kolb, T. L., E. Blukacz-Richards, A., Muir, A. M., Claramunt, R. M., Koops, M. A., Taylor, W. W., et al.. (2013). How to Manage Data to Enhance Their Potential for Synthesis, Preservation, Sharing, and Reuse—A Great Lakes Case Study. Fisheries, 38(2), 52 - 64. presented at the Aug-02-2013. doi:10.1080/03632415.2013.757975

Conner, L. G., Ames, D. P., & Gill, R. A.. (2013). HydroServer Lite as an open source solution for archiving and sharing environmental data for independent university labs. Ecological Informatics, 18, 171 - 177. doi:http://dx.doi.org/10.1016/j.ecoinf.2013.08.006

Bowen, G. J., West, J. B., Zhao, L., Takahashi, G., Miller, C., & Zhang, T.. (2012). Cyberinfrastructure for isotope analysis and modeling, 93(19). presented at the 2012/05/08. Retrieved from http://dx.doi.org/10.1029/2012EO190002

Lortie, C. J. (2012). Hänsel und Gretel: The future of publishing wicked witch-free. Ideas in Ecology and Evolution, (5). doi:10.4033/iee.2012.5b.19.f

Beck, J., Ballesteros-Mejia, L., Buchmann, C. M., Dengler, ürgen, Fritz, S. A., Gruber, B., et al.. (2012). What's on the horizon for macroecology?. Ecography, 35(8), 673 - 683. presented at the 08/2012. doi:10.1111/ecog.2012.35.issue-810.1111/j.1600-0587.2012.07364.x

Granell, C., íaz, L., Schade, S., änder, N., & Huerta, ín. (2012). Enhancing integrated environmental modelling by designing resource-oriented interfaces. Environmental Modelling & Software. presented at the 5/2012. doi:10.1016/j.envsoft.2012.04.013

Crimmins, T., & Crimmins, M.. (2012). Appreciating and Archiving Present-Day Naturalists’ Contributions to Science. BioScience, 62(6), 531 - 532. presented at the 06/2012. doi:10.1525/bio.2012.62.6.3

Hernandez, R. R., Mayernik, M. S., Murphy-Mariscal, M. L., & Allen, M. F.. (2012). Advanced Technologies and Data Management Practices in Environmental Science: Lessons from Academia. BioScience, 62(12). presented at the 12/2012. doi:10.1525/bio.2012.62.12.8

Enke, N., Thessen, A., Bach, K., Bendix, örg, Seeger, B., & Gemeinholzer, B.. (2012). The user's view on biodiversity data sharing — Investigating facts of acceptance and requirements to realize a sustainable use of research data —. Ecological Informatics, 11, 25 - 33. presented at the 9/2012. doi:10.1016/j.ecoinf.2012.03.004

Robertson, P. G., Collins, S., Foster, D., Brokaw, N., Ducklow, H., Gragson, T., et al.. (2012). Long-Term Ecological Research in a Human-Dominated World. BioScience, 62(4), 342 - 353. presented at the 04/2012. doi:10.1525/bio.2012.62.4.6

Starr, J., Willett, P., Federer, L., Horning, C., & Bergstrom, M.. (2012). A Collaborative Framework for Data Management Services: The Experience of the University of California. Journal of eScience Librarianship, 1(2), 109 - 114. presented at the 10/2012. doi:10.7191/jeslib.2012.1014 Cohn, J. P. (2012). DataONE Opens Doors to Scientists across Disciplines. BioScience, 62(11), 1004 - 1004. presented at the 11/2012. doi:10.1525/bio.2012.62.11.16

Sallans, A., & Donnelly, M.. (2012). DMP Online and DMPTool: Different Strategies Towards a Shared Goal. International Journal of Digital Curation, 7(2). presented at the 12/2012. doi:10.2218/ijdc.v7i2.235

Güntsch, A., Fichtmüller, D., Kirchhoff, A., & Berendsohn, W. G.. (2012). Efficient rescue of threatened biodiversity data using reBiND workflows. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology, 146, 752-755. doi:10.1080/11263504.2012.740086

Allard, S., & Ayd?no?lu, A. U.. (2012). Environmental Researchers’ Data Practices: An Exploratory Study in Turkey. In S. Kurbano?lu, Al, U., Erdo?an, P. L., Tonta, Y., & Uçak, N. (Eds.), E-Science and Information Management (Vol. 317, pp. 13-24). Springer Berlin Heidelberg. doi:10.1007/978-3-642-33299-9_5

Bach, K., Schäfer, D., Enke, N., Seeger, B., Gemeinholzer, B., & Bendix, J.. (2012). A comparative evaluation of technical solutions for long-term data repositories in integrative biodiversity research. Ecological Informatics. doi:doi:10.1016/j.ecoinf.2011.11.008

D Brandt, S. (2012). Data Curation as a Form of Collaborative Research. Retrieved from http://docs.lib.purdue.edu/lib_fspres/5/

Lindenmayer, D. B., Likens, G. E., Andersen, A., Bowman, D., Bull, M. C., Burns, E., et al.. (2012). Value of long- term ecological studies. Austral Ecology. presented at the 03/2012. doi:10.1111/j.1442-9993.2011.02351.x

Wickett, K. M., Hu, X., & Thomer, A.. (2012). RDAP12 summit: Challenges and opportunities for data management. Bulletin of the American Society for Information Science and Technology, 38, 14–19. doi:10.1002/bult.2012.1720380506

Wolkovich, E. M., Regetz, J., & O'Connor, M. I.. (2012). Advances in global change research require open science by individual researchers. Global Change Biology, n/a - n/a. presented at the 03/2012. doi:10.1111/j.1365-2486.2012.02693.x

Luyten, B., Diggory, M., & Schaeffer, P.. (2012). Subject Repositories for Research Data-the Dryad Approach. In . European Library Automation Group (ELAG) Annual Conference. Retrieved from http://hdl.handle.net/123456789/11845

Ollendorf, R., & Koch, S.. (2012). Beyond The Low Hanging Fruit: Data Services and Archiving at the University of New Mexico. Journal of Digital Information, 13(No 1 (2012).

Hoffman, F. M., Randerson, J. T., Lawrence, D. M., Blyth, E. M., Mu, M., Keppel-Aleks, G., et al.. (2011). International Land Model Benchmarking (ILAMB) Project. Retrieved from http://www.geobabble.org/~forrest/presentations/Hoffman_DataONE-EVA_20130123.pdf

Henebry, G. M. (2011). Beyond words: effective graphics and metadata are keys to concise scientific communication. Landscape Ecology, 26, 1355–1358.