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NFDI4Health Metadata Schema - Issues

 
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Results (32 / 32)
Id Issue Status Priority Type Date Assigned To Label
32 Change the value "Registry" to "Register studies" Open Highest Change Request 2024-03-27 16:47:32
31 Combine elements according to Study.comparisonGroup in FHIR Open Highest Change Request 2024-03-20 13:45:21
30 Why is there no type for groups? Open Normal Change Request 2024-03-20 13:41:05
30 Why is there no type for groups? Open Normal Change Request 2024-03-20 13:40:51
29 Condition Record Linkage Open High Change Request 2024-03-18 12:46:17
28 Cardinality Design.outcomes.type Open High Change Request 2024-03-18 12:18:34
25 Value sets using remaining concepts should use remaining concepts3.3 instead Open Normal Change Request 2024-03-14 11:33:27
24 Merge Code systems on Provenance Data Source and Study Status with Remaining Concepts Open Normal Change Request 2024-03-13 14:41:43
23 Adapt NFDI VS towards FHIR VS Open Normal Change Request 2024-03-11 14:54:13
22 interventions.armslabel and arms label Open Normal Change Request 2024-03-07 20:55:29
21 groups Open Normal Change Request 2024-03-07 20:54:28 Haitham Abaza
20 Condition right? Open Highest Change Request 2024-03-06 16:38:17 Haitham Abaza
19 Module as part of Design Open Normal Change Request 2024-03-06 16:35:42 Haitham Abaza
18 Registriy and Secondary Data Source as Seperate Module Open Highest Change Request 2024-03-06 15:52:42 Haitham Abaza
17 It´s a test Open High Change Request 2024-03-06 09:30:19
16 recruitmentStatusRegister Open Highest Change Request 2024-03-04 21:41:26 Haitham Abaza
15 VS Lower Level ICD10 Open Normal Change Request 2024-03-01 13:26:06 Haitham Abaza
14 Cardinality Open High Change Request 2024-03-01 11:38:35 Haitham Abaza
26 Location Open Normal Change Request 2024-03-01 11:30:29 Haitham Abaza
13 Location Open Normal Change Request 2024-03-01 11:30:25
12 Location Open High Change Request 2024-03-01 11:30:14
11 Location Open High Change Request 2024-03-01 11:30:11
10 Location Open High Change Request 2024-03-01 11:29:50
9 Identifier Type Open Highest Change Request 2024-03-01 11:25:56 Haitham Abaza
8 Data Type Issue Open Highest Change Request 2024-02-29 14:05:34 Haitham Abaza
7 Adapt format Open Highest Change Request 2024-02-29 13:52:34 Haitham Abaza
6 Adapt to FHIR category Open High Change Request 2024-02-29 12:46:39 Haitham Abaza
5 merge into Study category Open High Change Request 2024-02-29 12:29:48 Haitham Abaza
4 Adapt to FHIR Open High Change Request 2024-02-29 11:55:02 Kai Heitmann
3 Change Cardinality Description to ..1 Open Highest Change Request 2024-02-27 10:19:08 Haitham Abaza
2 Merge with Conditions Open High Change Request 2024-02-27 10:16:40 Haitham Abaza
1 Data Type Conditions Open High Change Request 2024-02-27 10:15:28 Haitham Abaza
 
Change Request Change the value "Registry" to "Register studies"
Id nfdhtfcov19-issue-32
Status Open
Priority Highest
Last Tracking 2024-03-27 16:47:32  by  Haitham Abaza
    
Concerns
Dataset Path Design / studyType /
Data Element
false
"nonInterventional" (2.16.840.1.113883.3.1937.777.64.2.2.75) from dataset Module Design (V3.3) (nfdhtfcov19-dataset-2)
Id Version 2023-12-04
Status Final Version Label v3.3
Description

Non-interventional [RESOURCE] type

Relations
Specialization nonInterventional - 2.16.840.1.113883.3.1937.777.64.2.2.75 as of 2022-11-28 (repository: nfdhtfcov19-)
Source
Rationale

Description: The primary strategy for participant identification and follow-up.

Comment

Cardinality: 1..*, if Design.primaryDesign == 'Non-interventional'; otherwise 0..0

Cardinality: 1..*, if Design.primaryDesign == 'C142615'; otherwise 0..0

Properties
false
Properties
Design.studyType.nonInterventional

Design.studyType.nonInterventional

Operationalization

Short input help: Select all that apply.
If 'Other' is selected, please specify the type of the [RESOURCE] in the field 'Additional information about the [RESOURCE]'.

false
Value
Type Code
Concepts
Concept Description Code Display Name Codesystem Equivalence
Case-control

Group of individuals with specific characteristics (for example, conditions or exposures) compared to group(s) with different characteristics, but otherwise similar. A case-control study design compares two groups of subjects: those with the disease or condition under study (cases) and a very similar group of subjects who do not have the disease or condition (controls) [CT.gov (https://prsinfo.clinicaltrials.gov/definitions.html, https://www.clinicaltrials.gov/ct2/about-studies/glossary), MIABIS (https://github.com/BBMRI-ERIC/miabis)].

Nested case-control

(1) A study in which a group or cohort of individuals is followed for a certain length of time or until a specific outcome is reached. Studies of this type incorporate the strengths of both cohort and case-control studies but eliminates a portion of the methodologic challenges inherent in both types of studies; (2) For each identified case one or more controls are selected, which are still under observation in a cohort study at the time when the case developed the disease of interest [NCI (GitHub - NCI-Thesaurus/thesaurus-obo-edition: OBO Library edition of NCIt)].

Case-only

Single group of individuals with specific characteristics [CT.gov (https://prsinfo.clinicaltrials.gov/definitions.html, https://www.clinicaltrials.gov/ct2/about-studies/glossary)].

Case-crossover

Characteristics of case immediately prior to disease onset (sometimes called the hazard period) compared to characteristics of same case at a prior time (that is, control period) [CT.gov (https://prsinfo.clinicaltrials.gov/definitions.html, https://www.clinicaltrials.gov/ct2/about-studies/glossary)].

Ecologic or community studies

Geographically defined populations, such as countries or regions within a country, compared on a variety of environmental (for example, air pollution intensity, hours of sunlight) and/or global measures not reducible to individual level characteristics (for example, healthcare system, laws or policies median income, average fat intake, disease rate) [CT.gov (https://prsinfo.clinicaltrials.gov/definitions.html, https://www.clinicaltrials.gov/ct2/about-studies/glossary)].

Family-based

Studies conducted among family members, such as genetic studies within families or twin studies and studies of family environment [CT.gov (https://prsinfo.clinicaltrials.gov/definitions.html, https://www.clinicaltrials.gov/ct2/about-studies/glossary)].

Twin study

Twin studies measure the contribution of genetics (as opposed to environment) to a given trait or condition of interest [MIABIS (https://github.com/BBMRI-ERIC/miabis)].

Cohort

(1) Group of individuals, initially defined and composed, with common characteristics (for example, condition, birth year), who are examined or traced over a given time period; (2) Data collected over time from the same cohort of respondents. The individuals in the cohort are connected in some way or have shared some significant experience within a given period. In some cases, the samples may differ between waves but are drawn from the same cohort. Examples: birth year, disease (clinical trials), common problem (intervention studies), education, employment, family formation, participation in an event; (3) A form of longitudinal study for the analysis of risk factors following a group of people who do not have a disease, and uses correlations to determine the absolute risk of subject contraction [CT.gov (https://prsinfo.clinicaltrials.gov/definitions.html, https://www.clinicaltrials.gov/ct2/about-studies/glossary), MIABIS (https://github.com/BBMRI-ERIC/miabis), DDI (https://ddialliance.org/Specification/DDI-CV/TimeMethod_1.2.html)].

Case-cohort

A random subcohort from the overall cohort is picked and all cases (either within this random subcohort or outside) will be selected as well. Also a suitable design for the investigation of several diseases in parallel.

Birth cohort

A cohort study for which the subjects are followed from the time of birth usually including information about gestation and follow up [MIABIS (https://github.com/BBMRI-ERIC/miabis)].

Trend

Data are collected from different samples or different groups of people from the same population at several points in time, using at least partly the same set of questions/variables. Conclusions are drawn for the population. Examples: European Social Survey (ESS), national longitudinal crime surveys [DDI (https://ddialliance.org/Specification/DDI-CV/TimeMethod_1.2.html)].

Panel

Data are collected over time from, or about, the same sample of respondents. Differs from cohort data in that the selection of respondents is not based on their being connected in some way or having shared some significant experience [DDI (https://ddialliance.org/Specification/DDI-CV/TimeMethod_1.2.html)].

Longitudinal

(1) Data collected repeatedly over time to allow studying change in a population. At least some of the questions or modules are repeated over waves. Use the broad term when none of the subterms is suitable; (2) Research studies involving repeated observations of the same entity over time. In the biobank context, longitudinal studies sample a group of people in a given time period, and study them at intervals by the acquisition and analyses of data and/or samples over time [MIABIS (https://github.com/BBMRI-ERIC/miabis), DDI (https://ddialliance.org/Specification/DDI-CV/TimeMethod_1.2.html)].

Cross-section

(1) Data collected by observing subjects within the study period, without regard to changes over time. May include more than one collection event. Analysis of cross-sectional data often consists in comparing the differences and similarities among subjects; (2) A type of observational study that involves data collection from a population, or a representative subset, at one specific point in time [MIABIS (https://github.com/BBMRI-ERIC/miabis), DDI (https://ddialliance.org/Specification/DDI-CV/TimeMethod_1.2.html)].

Cross-section ad-hoc follow-up

Data are collected at one point in time to complete information collected in a previous cross-sectional study; the decision to collect follow-up data was not included in the original study design [DDI (https://ddialliance.org/Specification/DDI-CV/TimeMethod_1.2.html)].

Time series

Data are collected repeatedly over time to study change in observations. These are typically "objective" measurements of phenomena that can be observed externally, as opposed to attitudes/opinions or feelings. Examples may include economic/financial indicators, natural/meteorological phenomena, vital statistics, etc. [DDI (https://ddialliance.org/Specification/DDI-CV/TimeMethod_1.2.html)].

Quality control

A quality control testing study design type is where some aspect of the experiment is quality controlled for the purposes of quality assurance [MIABIS (https://github.com/BBMRI-ERIC/miabis)].

Registry

An observational study which includes an organized system that uses observational methods to collect uniform data (clinical and other) prospectively for a population defined by a particular disorder/disease, condition (including susceptibility to a disorder), or exposure (including products, health care services, and/or procedures) and that serves a predetermined scientific, clinical, or policy purpose [NCI (GitHub - NCI-Thesaurus/thesaurus-obo-edition: OBO Library edition of NCIt), NFDI4Health]

Other

A study type that is not covered by any of the other values in this list [NFDI4Health].

Unknown

The study type is unknown [NFDI4Health].

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Events
Tracking Open 2024-03-27 16:47:32 : Tracking by Haitham Abaza
Description

The value "Registry" should be changed to "Register studies" to match with the Excel v3.3. This was obviously overlooked in the transformation

    
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