PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “scientific data”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 19 recordsLinked to original sources
PubMed2003

Arctic health policy: contribution of scientific data.

In Western Hemisphere arctic regions, scientific findings in humans, wildlife, and the environment have resulted in major governmental policy formulations. Government policy resulted in establishment of an effective international organization to address scientifically identified problems, including health disparities in arctic indigenous populations. Western scientific data and indigenous knowledge from initial international programs led to international agreements restricting certain persistent organic pollutants. In recent years, scientific data, and indigenous traditional knowledge, have resulted in governmental policy in the United States, Canada, and Nordic countries that includes the full participation of indigenous residents in defining research agendas, interpreting data, communicating information, and local community policy formulation.

Adolescent↗
PubMed1999

FORUM: Using the Best Scientific Data for Endangered Species Conservation.

/ The Endangered Species Act calls for the use of the best scientific data in conserving threatened or endangered species and the ecosystems upon which they depend. The language of this act and other environmental laws and relevant judicial rulings also require assessments based on modern scientific standards that are routinely applied in ecological research. Particularly for the Endangered Species Act, "take" decisions should be made only after the supporting documents provide: (1) designation of critical habitat based on use and availability methods; (2) risk assessment(s) for proposed take and other project impacts; (3) ecosystem assessment by trained ecosystem ecologists; (4) a description of an adaptive management program involving more than post hoc adjustments to problems in mitigation design; (5) a description of the proposed scientific monitoring along with thresholds for application of adaptive management; (6) uncertainty analysis along with estimates of species' abundance and project impacts; (7) nonselective, academic-quality referencing of data, methods, and theory supporting the conclusions; and (8) reviews of the assessment by independent scientists. These standards have been rarely applied to assessments of environmental take, due to lack of incentives for cooperation among academic scientists, environmental consultants, and the government regulatory agencies. Particularly important is requiring the type of independent review used by academic scientists. Such review would help ensure that take decisions are based on use of the appropriate scientific standards, thereby qualifying the supporting data as scientific and the best available, no matter how limited the data. Until these standards are applied prior to political trade-off and pragmatism, the environmental laws will continue to have little bearing on conservation.KEY WORDS: Endangered Species Act; Habitat conservation plans; Independent review; Risk assessment; Scientific data; Uncertainty analysishttp://link.springer-ny.com/link/service/journals/00267/bibs/24n4p421.html</HEA

Journal Article↗
PubMedDate not supplied

Interactive volume rendering of thin thread structures within multivalued scientific data sets.

We present a threads and halos representation for interactive volume rendering of vector-field structure and describe a number of additional components that combine to create effective visualizations of multivalued 3D scientific data. After filtering linear structures, such as flow lines, into a volume representation, we use a multilayer volume rendering approach to simultaneously display this derived volume along with other data values. We demonstrate the utility of threads and halos in clarifying depth relationships within dense renderings and we present results from two scientific applications: visualization of second-order tensor valued magnetic resonance imaging (MRI) data and simulated 3D fluid flow data. In both application areas, the interactivity of the visualizations proved to be important to the domain scientists. Finally, we describe a PC-based implementation of our framework along with domain specific transfer functions, including an exploratory data culling tool, that enable fast data exploration.

Algorithms↗
PubMed1989

How to write and take objective, multiple choice examinations. Quantitative analysis of the scientific data base.

Although there are numerous ways in which physicians evaluate one another and themselves, the multiple choice examination has become the key method for evaluating the scientific data base of both medical students and postgraduate physicians. Knowledge of the mechanisms at work in such examinations is thus important for both giving and taking these examinations. Analysis of these mechanisms is now provided.

Educational Measurement↗
PubMed2000

DataFoundry: information management for scientific data.

Data warehouses and data marts have been successfully applied to a multitude of commercial business applications. They have proven to be invaluable tools by integrating information from distributed, heterogeneous sources and summarizing this data for use throughout the enterprise. Although the need for information dissemination is as vital in science as in business, working warehouses in this community are scarce because traditional warehousing techniques do not transfer to scientific environments. There are two primary reasons for this difficulty. First, schema integration is more difficult for scientific databases than for business sources, because of the complexity of the concepts and the associated relationships. While this difference has not yet been fully explored, it is an important consideration when determining how to integrate autonomous sources. Second, scientific data sources have highly dynamic data representations (schemata). When a data source participating in a warehouse changes its schema, both the mediator transferring data to the warehouse and the warehouse itself need to be updated to reflect these modifications. The cost of repeatedly performing these updates in a traditional warehouse, as is required in a dynamic environment, is prohibitive. This paper discusses these issues within the context of the DataFoundry project, an ongoing research effort at Lawrence Livermore National Laboratory. DataFoundry utilizes a unique integration strategy to identify corresponding instances while maintaining differences between data from different sources, and a novel architecture and an extensive meta-data infrastructure, which reduce the cost of maintaining a warehouse.

Computer Systems↗
PubMed2004

A framework for scientific data modeling and automated software development.

MOTIVATION: The lack of standards for storage and exchange of data is a serious hindrance for the large-scale data deposition, data mining and program interoperability that is becoming increasingly important in bioinformatics. The problem lies not only in defining and maintaining the standards, but also in convincing scientists and application programmers with a wide variety of backgrounds and interests to adhere to them. RESULTS: We present a UML-based programming framework for the modeling of data and the automated production of software to manipulate that data. Our approach allows one to make an abstract description of the structure of the data used in a particular scientific field and then use it to generate fully functional computer code for data access and input/output routines for data storage, together with accompanying documentation. This code can be generated simultaneously for different programming languages from a single model, together with, for example for format descriptions and I/O libraries XML and various relational databases. The framework is entirely general and could be applied in any subject area. We have used this approach to generate a data exchange standard for structural biology and analysis software for macromolecular NMR spectroscopy. AVAILABILITY: The framework is available under the GPL license, the data exchange standard with generated subroutine libraries under the LGPL license. Both may be found at http://www.ccpn.ac.uk; http://sourceforge.net/projects/ccpn CONTACT: ccpn@mole.bio.cam.ac.uk.

Biopolymers↗
PubMed2001

Easing the transition between attribute-value databases and conventional databases for scientific data.

We have previously developed and described a modeling and development framework called EAV/CR, which is appropriate for designing databases containing highly heterogeneous and evolving data, as in the case of scientific databases for rapidly advancing domains. The use of EAV/CR has been hampered by the lack of generic tools for non-procedurally transferring data into or out of legacy systems or analytical packages: the transfer task is complicated by the different representation of EAV vs. conventional data, which is not addressed by commercial data-transfer programs. We have therefore created such a tool, which works with a wide variety of data sources that are accessible via Microsoft OLE DB technology. The data transfer tool requires minimal programmer intervention to set up, and no programming to use on a regular basis. Current limitations of the tool are also noted.

Database Management Systems↗
PubMedDate not supplied

The value of historical control data-scientific advantages for pathologists, industry and agencies.

Historical control tumor data are useful in the interpretation of long-term rodent carcinogenicity bioassays, especially to assess the occurrence of rare tumors and marginally increased tumor incidences. The major prerequisites to compare historical control data with studies under evaluation are the validity and consistency of the respective databases. The RITA (Registry of Industrial Toxicology Animal-data) database for historical data of tumors and pre-neoplastic lesions collects data according to highly standardized procedures including tissue sampling and trimming, histopathology according to internationally harmonized nomenclature and diagnostic criteria, and peer review. All lesions that are entered are unanimously diagnosed according to IARC (Intermational Agency for Research on Cancer)/WHO criteria. The validity of data is additionally confirmed by a complete peer review performed by a database pathologist. Equivocal diagnoses and selected cases are additionally submitted to a panel of RITA pathologists. In the RITA database, there are currently 10,896 rats from 106 studies with more than 17,604 primary tumors and 16,551 pre-neoplastic lesions. The RITA database for historical control data for Wistar and Sprague Dawley rats as well as for different mouse strains is briefly described. Based upon RITA background data, the survival rate of Wistar rats has been consistent over a period of 10 years. The occurrence of tumor-bearing animals also shows a stable percentage over a decade. Additionally, examples of how historical control data may support carcinogenic risk assessment in cases of rare tumors or marginally increased incidences of tumors and pre-neoplastic lesions are given.

Animals↗
PubMed2003

A survey of the scientific data and training methods utilized by collegiate strength and conditioning coaches.

The purpose of this study was to determine the extent to which scientific research influences college strength and conditioning coaching practices and to determine the training methods utilized. A total of 321 surveys were mailed to Division I strength and conditioning coaches, and the response rate was 42.7% (137 of 321 surveys). Results indicate that all subjects held a baccalaureate degree, the majority in a human performance-related field, and that 75% were Certified Strength and Conditioning Specialist (CSCS) certified. The respondents' most widely utilized professional resources were the Strength and Conditioning Journal (94%) and other collegiate coaches and programs (93%). Forty-seven percent of respondents indicated that other collegiate coaches and their programs were the most important sources of knowledge outside of formal education. The majority indicated that they used a periodization protocol (93%) utilizing multiple sets (97%), plyometrics (90%), explosive movements (88%), and Olympic lifts (85%). Respondents tend to rely on sources of information that may not be defined as scientific, as evidenced by the low priority given to peer-reviewed literature. Respondents also tend to employ the methods they utilized as athletes. Reliance on these sources may not take advantage of advances made through scientific research in exercise physiology, biomechanics, and more specifically the area of strength and conditioning.

Adolescent↗
PubMedDate not supplied

Organization of heterogeneous scientific data using the EAV/CR representation.

Entity-attribute-value (EAV) representation is a means of organizing highly heterogeneous data using a relatively simple physical database schema. EAV representation is widely used in the medical domain, most notably in the storage of data related to clinical patient records. Its potential strengths suggest its use in other biomedical areas, in particular research databases whose schemas are complex as well as constantly changing to reflect evolving knowledge in rapidly advancing scientific domains. When deployed for such purposes, the basic EAV representation needs to be augmented significantly to handle the modeling of complex objects (classes) as well as to manage interobject relationships. The authors refer to their modification of the basic EAV paradigm as EAV/CR (EAV with classes and relationships). They describe EAV/CR representation with examples from two biomedical databases that use it.

Database Management Systems↗
PubMed1993

A successful system of scientific data audits for clinical trials. A report from the Cancer and Leukemia Group B.

OBJECTIVE: To report on data collected during on-site audits of source documents in the Cancer and Leukemia Group B (CALGB). DESIGN: A retrospective review of audit reports in four audit cycles. SETTING: A cooperative group of institutions conducting clinical trials in cancer treatment. PARTICIPANTS: Patients taking part in clinical trials at collaborating CALGB institutions, members of the CALGB Data Audit Committee, and group chairmen of CALGB. MAIN OUTCOME MEASURE: The results of 691 institutional audits conducted by the CALGB in 1982 through 1992 with comparisons of main CALGB institutions vs affiliates. RESULTS: In four full reviews of all participating institutions in the CALGB, 3787 patients have had their on-site medical records compared with data submitted to the CALGB Data Management Center. Compliance with federal regulations for oversight by an institutional review board improved from a deficiency rate of 28.0% among the main institutions and 49.6% of the affiliate institutions in the first audit cycle to respective figures of 13.3% and 28.2% in the fourth cycle. Consent form deficiencies also dropped overall from 18.5% in the first cycle to 3.9% in the fourth. Patient eligibility was verified by auditors in 94.5%, and assessment of tumor changes in response to treatment was verified in 96.4% in the fourth cycle; both figures were only slightly lower in the first cycle. Two instances of scientific impropriety were discovered for a rate of only 0.28% of all audits. Both occurred prior to 1984, and none have occurred since. Major protocol deviations in drug dosing have held steady at about 11% over four audit cycles. Over the 11-year period of audits, three main institutions and 96 affiliate institutions have discontinued CALGB membership due solely, or at least partly, to unfavorable audit results. CONCLUSION: Scientific improprieties have occurred very rarely in clinical trials conducted by the CALGB. Protocol compliance in assessing patient eligibility and tumor responses has been high. Attention to administrative matters of consent forms, institutional review board approval, and ancillary data submission has measurably improved in the CALGB, which is at least partly due to the pressure from this on-site peer review of investigator performance.

Clinical Trials as Topic↗
PubMed1989

Prepublication release of scientific data and the right of the public to know: adapting to our times.

Technical innovations for more rapid and cheaper communication have begun to blur the boundaries of professional and other expert fields. This change has greatly widened the market for reliable new medical information, but it has also brought new tensions among authors, journals publishing their papers, and the news media. Does informal publication of new medical information before its appearance in scientific documents injure the interests of authors, journals, and the wider public? The possible answers depend in large part on how physicians should be expected to function in this new age of expanding information and speedier communication. A possible solution for these new problems would be access for all interested parties to journal papers through an on-line system at the point of their acceptance.

Humans↗