|
Matthew S. MayernikPh.D. candidate - Department of Information StudiesUCLA - Graduate School of Education & Information Studies email: mattmayernik [at] ucla [dot] edu |
|
|
Matthew S. MayernikPh.D. candidate - Department of Information StudiesUCLA - Graduate School of Education & Information Studies email: mattmayernik [at] ucla [dot] edu |
Refereed Journal Articles:
Edwards, P.N., M.S. Mayernik, A. Batcheller, C.L. Borgman, & G.C. Bowker. (forthcoming). Science friction: data, metadata, and collaboration in the interdisciplinary sciences. Social Studies of Science.
Mayernik, Matthew. (2010). The Distributions of MARC Fields in Bibliographic Records: A Power Law Analysis. Library Resoures and Technical Services, 54(1): 40-54.
[can be found at http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=47220580&site=ehost-live]
Pepe, A., M.S. Mayernik, C.L. Borgman and H. Van de Sompel. (2010). From Artifacts to Aggregations: Modeling Scientific Life Cycles on the Semantic Web. Journal of the American Society for Information Science and Technology, 61(3): 567-582. DOI: 10.1002/asi.21263
[pre-print available at http://arxiv.org/abs/0906.2549]
Wallis, J.C., C.L. Borgman, M.S. Mayernik, and A. Pepe. (2008). Moving Archival Practices Upstream: An Exploration of the Life Cycle of Ecological Sensing Data in Collaborative Field Research. International Journal of Digital Curation, 3(1). http://www.ijdc.net/ijdc/article/view/67/67
Mayernik, Matthew. (2007). The Prevalence of Additional Electronic Features in Pure E-Journals. The Journal of Electronic Publishing. 10(3).
http://hdl.handle.net/2027/spo.3336451.0010.307
- or - http://dx.doi.org/10.3998/3336451.0010.307
Conference Papers:
Mayernik, M.S., A.L. Batcheller, & C.L. Borgman. (2011). How Institutional Factors Influence the Creation of Scientific Metadata. In Proceedings of the 2011 iConference (iConference '11). New York, NY: ACM (pg. 417-425). http://doi.acm.org/10.1145/1940761.1940818
Mayernik, Matthew S. (2010). Metadata Realities for Cyberinfrastructure: Data Authors as Metadata Creators. iConference 2010 Proceedings, pp. 148-153. [pdf]
Wallis, J.C., M.S. Mayernik, C.L. Borgman, and A. Pepe. (2010). Digital libraries for scientific data discovery and reuse: from vision to practical reality. In Proceedings of the 10th annual joint conference on Digital libraries (JCDL '10). New York, NY: ACM (pg. 333-340). DOI=10.1145/1816123.1816173 http://doi.acm.org/10.1145/1816123.1816173
Mayernik, M.S., J.C. Wallis, A. Pepe, and C.L. Borgman. (2008). Whose data do you trust? Integrity issues in the preservation of scientific data. iConference 2008. Feb. 28-Mar. 1, Los Angeles, CA. http://www.ischools.org/conference08/pc/PA10-1_iconf08.pdf
Wallis, J.C., A. Pepe, M.S. Mayernik, and C.L. Borgman. (2008). An Exploration of the Life Cycle of eScience Collaboratory Data. iConference 2008. Feb. 28-Mar. 1, Los Angeles, CA. http://www.ischools.org/conference08/pc/PA10-4_iconf08.pdf
Borgman, C.L., J.C. Wallis, M.S. Mayernik, and A. Pepe. (2007). Drowning in Data: Digital Library Architecture to Support Scientists' Use of Embedded Sensor Networks. JCDL '07: Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries, Vancouver, BC: ACM. Can be found at http://repositories.cdlib.org/cens/wps/216/
Mayernik, M.S., J.C. Wallis, C.L. Borgman, and A. Pepe. (2007). Adding Context to Content: The CENS Deployment Center. in Andrew Grove (Ed.), Proceedings of the 70th ASIS&T Annual Meeting, vol. 44, 2007 (pg. 691-698). Milwaukee, WI: Richard B. Hill.
Can be found at http://repositories.cdlib.org/cens/wps/330/
Pepe, A., C.L. Borgman, J.C. Wallis, and M.S. Mayernik. (2007). Knitting a fabric of sensor data and literature. in Information Processing in Sensor Networks. 2007. Cambridge, MA: Association for Computing Machinery/IEEE.
Can be found at http://polaris.gseis.ucla.edu/cborgman/pubs/pepe_ipsn_dsi_8.pdf
Wallis, J.C., C.L. Borgman, M. Mayernik, A. Pepe, N. Ramanathan, and M. Hansen. (2007). Know thy sensor: CENS as a case study of the relationship between data integrity, metadata, and data interpretation. 11th European Conference on Research and Advanced Technology for Digital Libraries, 2007.
Can be found at http://repositories.cdlib.org/cens/wps/305/
Wallis, J.C., C.L. Borgman, M. Mayernik, and A. Pepe. (2007). Moving archival practices upstream: an exploration of the life cycle of ecological sensing data in collaborative field research. 3rd International Digital Curation Conference, 2007.
Doctoral Dissertation - Metadata Realities for Cyberinfrastructure: Data Authors as Metadata Creators
To be completed in Spring of 2011. Dissertation committee chair: Christine Borgman.
Working Abstract:
As digital data creation technologies become more prevalent, data and metadata management are necessary to make data available, usable, sharable, and storable. The question of how best to manage data created in distributed scientific projects is still open, but consensus is forming around the necessity of certain components, including reliable technology infrastructure for storing, transmitting, and analyzing data, policies that promote data management and sharing, metadata that can facilitate data management, discovery, and use, and effective day to day data management practices. In this proposal, I am exploring the last two components, metadata and the everyday data management practices of scientists. I propose a multi-sited ethnographic study of metadata creation by researchers in the Center for Embedded Networked Sensing (CENS). In studying metadata practices, I focus on the ways that researchers document, describe, annotate, organize, and manage their data, both for their own use and the use of researchers outside of their project. This study is designed to characterize how scientists understanding metadata, why they create metadata, in what situations metadata are and are not created, and their work practices in creating metadata both as a part of their everyday research activities and when asked to contribute to a shared community metadata repository. This study will provide guidance for developing metadata collection policies, processes, and technological systems for future large-scale data and information infrastructure projects, and thus inform best practices for managing and curating research data.
The CENSDC is a repository of information about CENS wireless sensing system deployments. CENS (Center for Embedded Networked Sensing) is a National Science Foundation Science and Technology Center based at UCLA. CENS researchers are studying how wireless sensing systems can be used in scientific and social applications. In our work, we are studying how CENS researchers collect, store, manage, and use data. For more details, see our project description as well as our associated work in developing a similar application on a cell phone.
Monitoring, Modeling, Memory is a collaboration of researchers performing a comparative study of scientific collaborations. MMM examines four large cyberinfrastructure efforts: the Long Term Ecological Research Network, the Center for Embedded Networked Sensing, the WATer and Environmental Research Systems Network, and the Earth System Modeling Framework. My work within this project focuses on comparison of metadata issues across these four cases.
Filed in 2007 at UCLA as part of my Masters of Library and Information Science degree. Thesis committee chair: Gregory Leazer.
Abstract: This thesis is a study of the Functional Requirements for Bibliographic Records entity-relationship model, and its applicability to online catalogs. The FRBR final report has been highly influential as a conceptual model, but less so as a model for online catalogs. The first section of this study illustrates how current online catalogs have attempted to use FRBR. Strengths of current systems include grouping like-records into edition sets. Weaknesses include the organizational schemes within edition sets, and an inability to identify bibliographic relationships between sets. The second section describes an examination of MARC records to identify which MARC data fields were most commonly found in catalog records, and second, to identify where title and author information of progenitor works were found in catalog records. The findings indicate that the majority of MARC records consist of a relatively small number of fields, and that progenitor title and author information is found in a variety of fields throughout the MARC record. Definite patterns exist for the location of progenitor author and title when the records are separated and examined by their bibliographic relation to the progenitor work. This study suggests that the FRBR entities are difficult to operationalize. Re-examining current attempts to FRBR-ize online catalogs showed that no re-invention is necessary, current systems already cluster records according to certain relationships, however, other types of relationships are ignored in current systems. A procedure for including these overlooked relationships is proposed, incorporating the idea of relationship polarity as a mechanism to identify and characterize relationships.
