Core Data: Past, Present, and Future

2021 ◽  
pp. 11-58
Keyword(s):  
Core Data

Historical text archives and prosopography: the COEL database system

1998 ◽  
Vol 10 (1-3) ◽  
pp. 57-72 ◽  
Author(s):  
K. S. B. Keats-Rohan
Keyword(s):  
Research Tool ◽  
Direct Access ◽  
Specific Situation ◽  
Core Data ◽  
Secondary Sources ◽  
The Core ◽  
Level 3 ◽  
Full Discussion ◽  
Available Information ◽  
Level 2

The COEL database and database software, a combined reference and research tool created by historians for historians, is presented here through Screenshots illustrating the underlying theoretical model and the specific situation to which that has been applied. The key emphases are upon data integrity, and the historian's role in interpreting and manipulating what is often contentious data. From a corpus of sources (Level 1) certain core data are extracted for separate treatment at an interpretive level (Level 3), based upon a master list of the core data (Level 2). The core data are interdependent: each record in Level 2 is of interest in itself; and it either could or should be associated with an(other) record(s) as a specific entity. Sometimes the sources are ambiguous and the association is contentious, necessitating a probabilty-coding approach. The entities created by the association process can then be treated at a commentary level, introducing material external to the database, whether primary or secondary sources. A full discussion of the difficulties is provided within a synthesis of available information on the core data. Direct access to the source texts is only ever a mouse click away. Fully query able, COEL is formidable look-up and research tool for users of all levels, who remain free to exercise an alternative judgement on the associations of the core data. In principle, there is no limit on the type of text or core data that could be handled in such a system.

BAYESIAN METHOD FOR RAPID MULTI-WELL INTERPRETATION OF WELL LOGS AND CORE DATA IN UNCONVENTIONAL FORMATIONS

2020 ◽  
Author(s):  
Tianqi Deng ◽  
◽  
Joaquín Ambía ◽  
Carlos Torres-Verdín ◽  
◽  
...  
Keyword(s):  
Bayesian Method ◽  
Well Logs ◽  
Core Data

Temporal trends in surgical procedures for pediatric hydrocephalus: an analysis of the Hydrocephalus Clinical Research Network Core Data Project

2020 ◽  
pp. 1-8
Author(s):  
Mandeep S. Tamber ◽  
John R. W. Kestle ◽  
Ron W. Reeder ◽  
Richard Holubkov ◽  
Jessica Alvey ◽  
...  
Keyword(s):  
Clinical Research ◽  
Temporal Trends ◽  
Patient Characteristics ◽  
Research Network ◽  
Third Ventriculostomy ◽  
Study Cohort ◽  
Core Data ◽  
Pediatric Hydrocephalus ◽  
Short Period ◽  
New Procedures

OBJECTIVEAnalysis of temporal trends in patient populations and procedure types may provide important information regarding the evolution of hydrocephalus treatment. The purpose of this study was to use the Hydrocephalus Clinical Research Network’s Core Data Project to identify meaningful trends in patient characteristics and the surgical management of pediatric hydrocephalus over a 9-year period.METHODSThe Core Data Project prospectively collected patient and procedural data on the study cohort from 9 centers between 2008 and 2016. Logistic and Poisson regression were used to test for significant temporal trends in patient characteristics and new and revision hydrocephalus procedures.RESULTSThe authors analyzed 10,149 procedures in 5541 patients. New procedures for hydrocephalus (shunt or endoscopic third ventriculostomy [ETV]) decreased by 1.5%/year (95% CI −3.1%, +0.1%). During the study period, new shunt insertions decreased by 6.5%/year (95% CI −8.3%, −4.6%), whereas new ETV procedures increased by 12.5%/year (95% CI 9.3%, 15.7%). Revision procedures for hydrocephalus (shunt or ETV) decreased by 4.2%/year (95% CI −5.2%, −3.1%), driven largely by a decrease of 5.7%/year in shunt revisions (95% CI −6.8%, −4.6%). Concomitant with the observed increase in new ETV procedures was an increase in ETV revisions (13.4%/year, 95% CI 9.6%, 17.2%). Because revisions decreased at a faster rate than new procedures, the Revision Quotient (ratio of revisions to new procedures) for the Network decreased significantly over the study period (p = 0.0363). No temporal change was observed in the age or etiology characteristics of the cohort, although the proportion of patients with one or more complex chronic conditions significantly increased over time (p = 0.0007).CONCLUSIONSOver a relatively short period, important changes in hydrocephalus care have been observed. A significant temporal decrease in revision procedures amid the backdrop of a more modest change in new procedures appears to be the most notable finding and may be indicative of an improvement in the quality of surgical care for pediatric hydrocephalus. Further studies will be directed at elucidation of the possible drivers of the observed trends.

OPEN CORE DATA PROJECT: INTEGRATING PHYSICAL SAMPLES INTO THE WEB OF DATA

2017 ◽  
Author(s):  
Stephen Richard ◽  
◽  
Douglas Fils ◽  
Anders Noren ◽  
Kerstin A. Lehnert
Keyword(s):  
Core Data ◽  
Web Of Data ◽  
Open Core ◽  
The Web

scholarly journals BRENDA, the ELIXIR core data resource in 2021: new developments and updates

2020 ◽  
Vol 49 (D1) ◽  
pp. D498-D508
Author(s):  
Antje Chang ◽  
Lisa Jeske ◽  
Sandra Ulbrich ◽  
Julia Hofmann ◽  
Julia Koblitz ◽  
...  
Keyword(s):  
Intracellular Localization ◽  
Easy Access ◽  
New Developments ◽  
Data Resource ◽  
Core Data ◽  
Related Data ◽  
Primary Literature ◽  
Ligand Interactions ◽  
Genome Annotations ◽  
Individual Enzyme

Abstract The BRENDA enzyme database (https://www.brenda-enzymes.org), established in 1987, has evolved into the main collection of functional enzyme and metabolism data. In 2018, BRENDA was selected as an ELIXIR Core Data Resource. BRENDA provides reliable data, continuous curation and updates of classified enzymes, and the integration of newly discovered enzymes. The main part contains >5 million data for ∼90 000 enzymes from ∼13 000 organisms, manually extracted from ∼157 000 primary literature references, combined with information of text and data mining, data integration, and prediction algorithms. Supplements comprise disease-related data, protein sequences, 3D structures, genome annotations, ligand information, taxonomic, bibliographic, and kinetic data. BRENDA offers an easy access to enzyme information from quick to advanced searches, text- and structured-based queries for enzyme-ligand interactions, word maps, and visualization of enzyme data. The BRENDA Pathway Maps are completely revised and updated for an enhanced interactive and intuitive usability. The new design of the Enzyme Summary Page provides an improved access to each individual enzyme. A new protein structure 3D viewer was integrated. The prediction of the intracellular localization of eukaryotic enzymes has been implemented. The new EnzymeDetector combines BRENDA enzyme annotations with protein and genome databases for the detection of eukaryotic and prokaryotic enzymes.

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