I want to search

MENU

Biblio

Export 278 results:
Author Title [ Type(Desc)] Year
Filters: Filter is   [Clear All Filters]
Book Chapter
Erickson JS, Sheehan J, Bennett KP, McGuinness DL. Addressing Scientific Rigor in Data Analytics Using Semantic Workflows. In: Mattoso M, 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. 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; 2016:187 - 190. Available at: http://dx.doi.org/10.1007/978-3-319-40593-3_18.
Walters T. Assimilating Digital Repositories Into the Active Research Process. In: Research Data Management: Practical Strategies for Information Professionals. Research Data Management: Practical Strategies for Information Professionals. Purdue University Press; 2014:189–201.
Budden AE, Michener WK. 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.
Dey S, Köhler S, Bowers S, Ludäscher B. Computing Location-Based Lineage from Workflow Specifications to Optimize Provenance Queries. In: Ludäscher B, Plale B, eds. Provenance and Annotation of Data and Processes.Vol 8628. Provenance and Annotation of Data and Processes. Springer International Publishing; 2015:180-193. Available at: http://dx.doi.org/10.1007/978-3-319-16462-5_14.
Levine M. Copyright, Open Data, and the Availability-Usability Gap. In: Research Data Management: Practical Strategies for Information Professionals. Research Data Management: Practical Strategies for Information Professionals. Purdue University Press; 2014:129.
Michener WK. Creating and managing metadata. In: Ecological Informatics. Data Management and Knowledge Discovery. Ecological Informatics. Data Management and Knowledge Discovery. Heidelberg: Springer; 2018:71-88.
Michener WK. Data Discovery. In: Ecological Informatics. Data Management and Knowledge Discovery. Ecological Informatics. Data Management and Knowledge Discovery. Springer, Cham; 2018:115-128.
Schildhauer M. 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 .
Bishop W, Grubesic TH. 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.
Hernández N, Castro LA, Favela J, Michán L, Arnrich B. Data Quality in Mobile Sensing Datasets for Pervasive Healthcare. In: Khan SU, Zomaya AY, Abbas A, eds. 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.
Cao Y, Jones C, Cuevas-Vicenttín V, et al. DataONE: A Data Federation with Provenance Support. In: Mattoso M, 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. 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.
Allard S, Aydınoğlu AU. Environmental Researchers’ Data Practices: An Exploratory Study in Turkey. In: Kurbanoğlu S, Al U, Erdoğan PL, Tonta Y, Uçak N, eds. E-Science and Information Management.Vol 317. E-Science and Information Management. Springer Berlin Heidelberg; 2012:13-24. Available at: http://dx.doi.org/10.1007/978-3-642-33299-9_5.
Allard S. Evaluating a Complex Project. In: Research Data Management: Practical Strategies for Information Professionals. Research Data Management: Practical Strategies for Information Professionals. Purdue University Press; 2014:255. Available at: https://books.google.com/books?id=qZStAQAAQBAJ.
Hanson PC, Weathers KC, Dugan HA, Gries C. The Global Lake Ecological Observatory Network. In: Ecological Informatics. Ecological Informatics. Springer, Cham; 2018:415-433.
Chirigati F, Freire J. Provenance and Reproducibility. In: Liu L, M. Özsu T, eds. Encyclopedia of Database Systems. Encyclopedia of Database Systems. New York, NY: Springer New York; 2017:1–5. Available at: https://doi.org/10.1007/978-1-4899-7993-3_80747-1.
Cuevas-Vicenttín V, Kianmajd P, Ludäscher B, et al. Provenance Storage, Querying, and Visualization in PBase. In: Provenance and Annotation of Data and Processes. Provenance and Annotation of Data and Processes. Springer International Publishing; 2015:239-241.
Cuevas-Vicenttín V, Ludäscher B, Missier P. Provenance-Based Searching and Ranking for Scientific Workflows. In: Provenance and Annotation of Data and Processes. Provenance and Annotation of Data and Processes. Springer International Publishing; 2015:209-214.
Michener WK. Quality assurance and quality control (QA/QC). In: Ecological Informatics. Data Management and Knowledge Discovery. Ecological Informatics. Data Management and Knowledge Discovery. Heidelberg: Springer; 2018:55-70.
Mayernik MS, Davis L, Kelly K, et al. Research Center Insights into Data Curation Education and Curriculum. In: Bolikowski Ł, Casarosa V, Goodale P, et al., eds. Theory and Practice of Digital Libraries – TPDL 2013 Selected Workshops.Vol 416. Theory and Practice of Digital Libraries – TPDL 2013 Selected Workshops. Springer International Publishing; 2014:239-248. Available at: http://dx.doi.org/10.1007/978-3-319-08425-1_26.
Smith M. Where Technology and Policy Collide. In: Research Data Management: Practical Strategies for Information Professionals. Research Data Management: Practical Strategies for Information Professionals. Purdue University Press; 2014:45.
Buneman P, Khanna S, Tan W. Why and Where: A Characterization of Data Provenance. In: Berlin/Heidelberg: Springer; 2001.
Conference Paper
Langer A, Bilz E, Gaedke M. 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/.

Pages