WebEAV: automatic metadata-driven generation of web interfaces to entity-attribute-value databases
Open accessAbstract
The task of creating and maintaining a front end to a large institutional entity-attribute-value (EAV) database can be cumbersome when using traditional client-server technology. Switching to Web technology as a delivery vehicle solves some of these problems but introduces others. In particular, Web development environments tend to be primitive, and many features that client-server developers take for granted are missing. WebEAV is a generic framework for Web development that is intended to streamline the process of Web application development for databases having a significant EAV component. It also addresses some challenging user interface issues that arise when any complex system is created. The authors describe the architecture of WebEAV and provide an overview of its features with suitable examples.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The key to REDCap's success was making a simple workflow methodology that allows research teams to independently create study-related metadata efficiently.
“we realized early in the project that the critical factor for success would lie in creating a simple workflow methodology allowing research teams to autonomously develop study-related metadata in an efficient manner.(3–5)”
From Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support (2009) · cites this paper as [4]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Organization of Heterogeneous Scientific Data Using the EAV/CR Representation
Nadkarni, P., Marenco, L. N., Chen, R., Skoufos, E., Shepherd, G. M., & Miller, P. L. (1999) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1999.0060478 · Cited by 208 · see citing works
Self-citationOaks, S. (1998) · Cited by 202 · see citing works
Shepherd, G. M., Mirsky, J. S., Healy, M. D., Singer, M. S., Skoufos, E., Hines, M. S., Nadkarni, P. M., & Miller, P. L. (1998) · Trends in Neurosciences · doi:10.1016/s0166-2236(98)01300-9 · Cited by 137 · see citing works
Self-citationData Extraction and Ad Hoc Query of an Entity--Attribute--Value Database
Nadkarni, P., & Brandt, C. (1998) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1998.0050511 · Cited by 108 · see citing works
Self-citationManaging Attribute-Value Clinical Trials Data Using the ACT/DB Client-Server Database System
Nadkarni, P., Brandt, C., Frawley, S. J., Sayward, F. G., Einbinder, R., Zelterman, D. A., Schacter, L., & Miller, P. L. (1998) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1998.0050139 · Cited by 98 · see citing works
Self-citationA Generalized Relational Schema for an Integrated Clinical Patient Database
Friedman, C., Hripcsak, G. M., Johnson, S. B., et al. (1990) · PubMed Central · Cited by 70 · see citing works
Dynamic HTML: The Definitive Reference
Goodman, D. (2002) · CERN Document Server (European Organization for Nuclear Research) · Cited by 54 · see citing works
HELP the next generation: a new client-server architecture.
Huff, S. M., Haug, P. J., Stevens, L. E., et al. (1994) · PubMed · Cited by 46 · see citing works
Using Metadata to Integrate Medical Knowledge in a Clinical Information System
Johnson, S. B., Cimino, J. J., Friedman, C., et al. (1990) · PubMed Central · Cited by 23 · see citing works
Evaluation of an SQL model of the HELP patient database.
Huff, S. M., Cl, B., Pryor, T. A., et al. (1991) · PubMed · Cited by 20 · see citing works
Erwin, M., & Niles, R. (1997) · Cited by 19 · see citing works
Goncalves, M. V. (1998) · Cited by 15 · see citing works
SQLGEN: A framework for rapid client-server database application development
Nadkarni, P. M., & Cheung, K.-H. (1995) · Computers and Biomedical Research · doi:10.1006/cbmr.1995.1030 · Cited by 13 · see citing works
Self-citationSQLGEN: a framework for rapid client-server database application development
NADKARNI, P., & CHEUNG, K. (1995) · Computers and Biomedical Research · doi:10.1016/s0010-4809(85)71030-0 · Cited by 13 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 3
- [14]Darwin IF. Checking C Programs with Lint. Sebastopol, Calif: O'Reilly Associates, 1988.
- [17]Graham IS. HTML 4.0 Sourcebook. New York: Wiley Computer Publishing, 1997.
- [21]Boumphrey F, Di Renzo O, Duckett J, et al. XML Applications. London, UK: WROX Press, 1998.
Cited by
Sorted by citations
Harris, P. A., Taylor, R., Thielke, R., Payne, J., Gonzalez, N., & Conde, J. G. (2009) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2008.08.010 · Cited by 51,384 · see citing works
- Authors
- Nadkarni, P. M., Brandt, C. M., & Marenco, L.
- Affiliations
- Yale University (US)
- Corresponding author
- Nadkarni, P. M.
- ORCID
- Nadkarni, P. M.
- Venue
- Journal of the American Medical Informatics Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-07-01
- Volume
- 7
- Issue
- 4
- Pages
- 343-356
- ISSN
- 1067-5027 (ISSN-L)
- 1527-974X
- PMC
- PMC61439
- OpenAlex
- W2411784622
- Cited by
- 56
- References
- 14
- Citations by year
- 2023: 1 · 2021: 4 · 2020: 2 · 2019: 1 · 2018: 1 · 2016: 2 · 2015: 2 · 2014: 2 · 2013: 1
- FWCI
- 14.60
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of the American Medical Informatics Association (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Cancer Institute (U01CA078266, U01CA78266)
- Topics
- Physical Sciences › Computer Science › Information Systems › Web Applications and Data Management
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Physical Sciences › Computer Science › Software › Engineering and Information Technology
- Keywords
- web application framework, institutional databases, web frontend, user interface design, database front-end
- MeSH terms
- Software, User-Computer Interface, Databases as Topic, Internet
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review