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GSCID/BRC Clinical Metadata Standard

v1.2
Finalized by the GSCID/BRC Clinical Metadata Working Group

How to interpret the document:

BOLD: Field name
ITALICS: Attributes of the field

Clinical metadata may include elements that pose a risk of patient identification. These have been marked for each entry in an attribute labeled 'Risk'. Individuals handling these data should familiarize themselves with the relevant regulations regarding the sharing and use of protected health information. As specified in the NIAID contracts to the GSCs and BRCs, it is the institutions’ responsibility to provide the appropriate privacy training for handling this information. Fields marked as HIPAA data elements are based on the information at the HIPAA web site which describes what protected health information includes. For dates: "All elements of dates (except year) for dates directly related to an individual, including birth date, admission date, discharge date, date of death; and all ages over 89 and all elements of dates (including year) indicative of such age, except that such ages and elements may be aggregated into a single category of age 90 or older." For geographic location: "All geographic subdivisions smaller than a State, including street address, city, county, precinct, zip code, and their equivalent geocodes" are considered potentially identifiable.

 

Several required fields are dates (e.g., sample collection date) which should be supplied in the international standard (ISO) format (yyyy-mm-dd). However, these dates when combined may potentially lead to patient identification. To avoid this possible breach of patient health information, the dates should be collected but censored from public access. In place of dates, time relative to the sample collection date should be provided. In the case of multiple samples at different dates from the same individual, then the initial sample collection date should be used as the reference point. For example, a patient with a birth date of 2010-01-01 who was hospitalized 2010-10-01 and had blood drawn for follow-up study 2011-01-01 would be shown as a 1 year old patient who was hospitalized 2 months prior to blood collection for the study. When providing the sample collection date, it should be de-identified by randomization. We recommend a randomization strategy with some linkage to seasonality since some of the infectious diseases are seasonal. The randomization process should be confined to a defined, relatively short temporal window, for example plus or minus 15 days.

Some fields such as those pertaining to Physical Exams, Diagnosis, Lab Tests, and Treatments may have multiple related entries. Preferred approaches for capturing multiple entries are described in the ‘Multiple Sets’ attribute.

We understand that LOINC codes provide information that cover multiple required fields (e.g., Lab Test Method; Body Site). However, not all data contributors will start with LOINC codes and we want to make sure that we capture needed information in a manner that could be easily mapped to LOINC codes to be used as standard values.

1. Enrollment Criteria
Name: Enrollment Criteria
Multiple Sets: This would be captured at the project level and should be a single common value for all enrolled participants
Risk: Some risk if criteria are extremely restrictive
Definition: The criteria used to identify and recruit human subject participants into a clinical research study, including both the inclusion and exclusion criteria, which describes the common characteristics of the base human population participating in the research study.
NA allowed: No
Data Type: text
Accepted Values: free text
Examples: Adults between the ages of 18 and 80 without evidence of previous exposure to the influenza A H5N1 virus
External reference::
Notes:

2. Unique ID
Name: Unique ID/ corresponds to Specimen Source ID in Core Sample metadata collection
Multiple Sets:
Risk: Should be non-traceable in the dataset to any individual person (i.e., de-identified). Considered high risk if any of the HIPAA named identifiers are used. Medical Record Numbers should never be used.
Definition: Unique identification (ID) number that is assigned to a subject (patient, study participant, etc.) and is used to track the subject.
NA allowed: No
Data Type: alphanumeric
Accepted Values: any unique string
Examples: AC160
External reference::
Notes: Just needs to be unique within the given study.

3. Sample Collection Date
Name: Sample Collection Date/corresponds to Specimen Collection Date in Core Sample metadata collection
Multiple Sets:
Risk: Specific dates in general are an identification risk if tied to HIPAA-defined protected health information dates, such as admission date or date of death.
Definition: Date the sample was collected from the subject.
NA allowed: No
Data Type: string
Accepted Values: ISO format; Year (Required), Month and Date (Optional); yyyy-mm-dd.
Examples: 2009-07-31
External reference::
Notes: Core metadata. If the collection of a single sample occurs over an extended time, simply indicate the start date of the collection.

4. Age
Name: Age/ corresponds to Specimen Source Age - Value and Specimen Source Age - Unit in Core Sample metadata collection
Multiple Sets:
Risk: Date of birth is a HIPAA identifier, age is also a HIPAA identifier when over 89
Definition: Biological age of the subject (i.e. age of the subject at the time of sampling) at the time of collection or study enrollment.
NA allowed: Yes
Data Type: numeric
Accepted Values: Year (Required), Month and Day (Optional), decimal acceptable when the age is less than 1 year; for age over 89, should use “age 90 or older”.
Examples: 25
External reference::
Notes:

5. Gender/Sex
Name: Gender/Sex/corresponds to Specimen Source Gender in Core Sample metadata collection
Multiple Sets:
Risk:
Definition: Gender or sex of the subject.
NA allowed: No
Data Type: string
Accepted Values: male, female, unknown, missing
Examples: male
External reference::
Notes:

6. Geographic Location
Name: Geographic Location/ corresponds to Specimen Collection Location- Location in Core Sample metadata collection
Multiple Sets:
Risk: Geographic location is a HIPAA identifier when smaller than a state.
Definition: Country or geopolitical location where the sample was collected from the subject.
NA allowed: No
Data Type: text
Accepted Values: Country Format: NCBI Country List, Geographic Location Vocabulary GAZ
Examples: Uganda
External reference::
Notes:

7. Race/Ethnicity
Name: Race/Ethnicity
Multiple Sets:
Risk:
Definition: Biological race, group or cultural background with which the subject most identifies with.
NA allowed: Yes
Data Type: text
Accepted Values: Anthro-Ethnicity-Groups list with codes
Examples: Mixed, of predominantly African Ancestry 1301900
External reference::
Notes: Derived from - SJ Mack, A. Sanchez-Mazas, D Meyer, RM Single, Y Tsai, HA Erlich. Anthropology/Human Genetic Diversity Joint Report. Chapter2: Methods Used in the Generation and Preparation of Data for Analysis in the 13th International Histocompatibility Workshop, in Immunobiology of the Human MHC: Proceedings of the 13th International Histocompatibility Workshop and Conference, J. Hansen, Editor. 2007, IHWG Press: Seattle. p. 564-579.

8. Study type
Name: Study type
Multiple Sets:
Risk:
Definition: Term(s) that describes the type or design of the conducted study.
NA allowed: No
Data Type: text
Accepted Values: cross-sectional survey, cohort (prospective or retrospective), health facility, case-control, other
Examples: prospective cohort
External reference::
Notes:

9. Health Status
Name: Health Status/ corresponds to Specimen Source Health Status in Core Sample metadata collection
Multiple Sets:
Risk: When related to "Specification of mother and fetal health status, should also include abortion"
Definition: Impact of disease on subject function as reported by the patient at the time of physical examination.
NA allowed: Yes
Data Type: string
Accepted Values: General finding of observation of patient terms in SNOMED
Examples: asymptomatic
External reference:: http://purl.bioontology.org/ontology/SNOMEDCT/118222006
Notes: With reference to infectious disease being studied

10. Comorbidity
Name: Comorbidity
Multiple Sets: Multiple Comorbidities may be recorded during sample collection: comma delimited
Risk:
Definition: Additional disorders or diseases co-occurring with the primary disease; or the effect of such additional disorders or diseases. Primary disease: the disease caused by the suspected pathogenic organism
NA allowed: Yes
Data Type: text
Accepted Values: Disease Terms ICD9/10, Disease Ontology
Examples: acquired immunodeficiency
External reference::
Notes:

11. Concomitant Medication
Name: Concomitant Medication
Multiple Sets: Multiple Concomitant Medication may be recorded during sample collection: comma delimited
Risk:
Definition: Medications being administered to or taken by the patient that are unrelated to the suspected pathogenic organism.
NA allowed: Yes
Data Type: text
Accepted Values: RxNorm
Examples: Ciprofloxacin
External reference:: http://www.nlm.nih.gov/research/umls/rxnorm/
Notes:

12. Measured Attribute
Name: Measured Attribute
Multiple Sets: Multiple Measured Attributes may be collected in the same Physical Exam process. Each Measured Attribute may have a Measured Method and Measured Value
Risk:
Definition: Quantitative measurements of the subject during the physical exam.
NA allowed: Yes
Data Type: text
Accepted Values: Vital signs terms in LOINC
Examples: diastolic blood pressure 10 hour mean
External reference:: https://loinc.org/
Notes: Additional values can be defined via project-specific data dictionary

13. Measured Method
Name: Measured Method
Multiple Sets: One Measured Method is associated with one Measured Attribute
Risk:
Definition: Method used to capture the quantitative measurements during the physical exam.
NA allowed: Yes
Data Type: text
Accepted Values: Taking patient vital sign terms in LOINC
Examples: temperature of skin palpation
External reference:: https://loinc.org/
Notes:

14. Measured Value Name Measured Value
Multiple Sets: One Measured Value is associated with one Measured Attribute
Risk:
Definition: Actual results of lab physical exam recorded as numeric value, units recorded as text
NA allowed: Yes
Data Type: numeric, text
Accepted Values: Units: metric, Scale: nominal, ordinal, quantitative, ordinal quantitative. Standard International (SI) units encouraged.
Examples: 37 degrees C for temperature; 3 on the Blantyre Coma Scale (0-5)
External reference::
Notes: Could be abstracted to normal/abnormal value

15. Clinical Observation
Name: Clinical Observation
Multiple Sets: Multiple Clinical Observations may be associated with the same Physical Exam
Risk:
Definition: Clinical observations that are not quantitatively measured during the physical exam.
NA allowed: Yes
Data Type: text
Accepted Values: On examination - specified examination finding terms in SNOMED
Examples: blood in vomit on examination
External reference:: http://purl.bioontology.org/ontology/SNOMEDCT/271880003
Notes:

16. Relative Physical Exam Date
Name: Relative Physical Exam Date
Multiple Sets: One Physical Exam Date may be associated with multiple Measured Attributes
Risk: Specific dates in general are an identification risk if tied to HIPAA identifiers such as admission date or date of death.
Definition: Time the physical exam assessment of the subject was performed relative to the date of the sample collection event.
NA allowed: Yes
Data Type: numeric
Accepted Values: numeric; may include year-month-day-hour-sec
Examples: 5 years and 6 months and 1 day
External reference::
Notes:

17. Disease Course
Name: Disease Course
Multiple Sets:
Risk:
Definition: The totality of all processes through which a given disease instance is realized.
NA allowed: Yes
Data Type: text
Accepted Values: Acute disease onset, Chronic disease course, Chronic disease course with acute onset, Transient disease course, Transient disease course with acute onset, Progressive disease course, Progressive disease course with acute onset, Fatal disease course, Fatal disease course with acute onset
Examples: fatal disease course
External reference:: http://purl.obolibrary.org/obo/OGMS_0000063
Notes: Acute disease onset - a disease onset in which signs and symptoms progress relatively rapidly in comparison with a canonical disease course. Chronic disease course - A disease course that (a) does not terminate in a return to normal homeostasis and (b) would, absent intervention, fall within an abnormal homeostatic range. Chronic disease course with acute onset – a chronic disease course with an acute disease onset. Transient disease course - A disease course that terminates in a return to normal homeostasis. Transient disease course with acute onset – a transient disease course with an acute disease onset. Progressive disease course - A disease course that (a) does not terminate in a return to normal homeostasis and (b) would, absent intervention, involve an increasing deviation from homeostasis. Progressive disease course with acute onset – a progressive disease course with an acute disease onset. Fatal disease course – A progressive disease course that terminates in the death of the organism bearing the disease. Fatal disease course with acute onset – a fatal disease course with an acute disease onset.

18. Symptom
Name: Symptom
Multiple Sets: Multiple symptoms may be associated with the same patient. Each symptom may have an Onset Age, Onset Speed, and Severity
Risk:
Definition: Perceived change in function, sensation, loss, disturbance or appearance reported by the subject indicative of a disease.
NA allowed: Yes
Data Type: text
Accepted Values: symptom terms: Symptom Ontology
Examples: fever
External reference:: http://www.ontobee.org/browser/index.php?o=SYMP
Notes:

19. Symptom Onset
Name: Symptom Onset
Multiple Sets: Symptom Onset is associated with one Symptom
Risk:
Definition: One Symptom Onset is associated with one Symptom
NA allowed: Yes
Data Type: text
Accepted Values: Human Phenotype Ontology (HPO): onset adult onset, childhood onset, congenital onset, infantile onset, juvenile onset, neonatal onset
Examples: childhood onset
External reference:: http://bioportal.bioontology.org/ontologies/49621/? p=terms&conceptid=HP%3A0003674
Notes:

20. Symptom Onset Speed
Name: Symptom Onset Speed
Multiple Sets: One Symptom Onset Speed is associated with one Symptom
Risk:
Definition: The speed of the first appearance of symptoms of an illness. The actual time scale for onset will vary for different diseases and should be defined according to domain experts.
NA allowed: Yes
Data Type: text
Accepted Values: Human Phenotype Ontology (HPO): Speed of onset acute, chronic, insidious onset, subacute
Examples: acute
External reference:: http://bioportal.bioontology.org/ontologies/49684/?p=terms&conceptid=HP%3A0011008
Notes:

21. Symptom Severity
Name: Symptom Severity
Multiple Sets: One SymptomSeverity is associated with one Symptom
Risk:
Definition: Severity, intensity, or variable expressivity of symptoms.
NA allowed: Yes
Data Type: text
Accepted Values: Human Phenotype Ontology (HPO); PATO Phenotype terms of intensity: Mild, Moderate, Severe
Examples: moderate
External reference:: http://bioportal.bioontology.org/ontologies/49712/?p=terms&conceptid=PATO%3A0000049
Notes:

22. Diagnostic Result
Name: Diagnostic Result
Multiple Sets: Multiple Diagnostic Results may result from the same diagnosis process. However, there should be only one Primary Diagnostic Result that is about the presence of disease caused by the infectious agent under study.
Risk:
Definition: Diagnosis is the outcome of the assessment of a disease or injury, its likely prognosis and treatment.
NA allowed: Yes
Data Type: text
Accepted Values: Disease Terms ICD9/10, Disease Ontology
Examples: malaria
External reference:: http://www.ontobee.org/browser/index.php?o=DOID
Notes:

23. Relative Diagnosis Date
Name: Relative Diagnosis Date
Multiple Sets:
Risk: Specific dates in general are an identification risk if tied to HIPAA identifiers such as admission date or date of death.
Definition: Time the diagnosis of the subject was determined relative to the date of the sample collection event.
NA allowed: Yes
Data Type: numeric
Accepted Values: Numeric; may include year-month-day-hour-sec
Examples: 5 years and 6 months and 1 day
External reference::
Notes:

24. Lab Test Type Detecting Pathogen
Name: Lab Test Type Detecting Pathogen
Multiple Sets: Multiple Lab Tests may occur. One Lab Test Type Pathogen is associated with one LabTest.
Risk:
Definition: Long common lab test name that corresponds to the observation/phenomenon being measured to describe presence of specific pathogen.
NA allowed: Yes
Data Type: text
Accepted Values: Long common name as defined by LOINC/HL7
Examples: 50556-0 (Urinalysis dipstick panel - Urine by Automated test strip)
External reference:: https://loinc.org/
Notes: *Ref. Clinical Metadata: lab tests and treatment example metadata components

25. Lab Test Type Pathogen Attribute
Name: Lab Test Type Pathogen Attribute
Multiple Sets: Multiple Lab Tests may occur. One Lab Test Pathogen Attribute associated with one Lab Test
Risk:
Definition: Long common lab test name that corresponds to the observation/phenomenon being measured to describe attributes and/or severity of infection of a specific pathogen identified in Lab Test Type Detecting Pathogen.
NA allowed: Yes
Data Type: text, numeric
Accepted Values: Long common name as defined by LOINC/HL7
Examples: 468-9 (LOINC code for Sulfamethoxazole sensitivity test by MIC)
External reference:: https://loinc.org/
Notes: pathogen attributes and/or severity include drug resistance, inflammatory response, pathogen load, etc. Multiple rows for multiple resistance tests

26. Body Site
Name: Body Site
Multiple Sets: One Body site is associated with one LabTest
Risk:
Definition: Location on body or bodily substance/fluid from which materials used in lab tests were obtained from which the sample used in lab test is collected
NA allowed: Yes
Data Type: text
Accepted Values: Terminologia Anatomica: hemisphere (if applicable) and site/subsite name or bodily substance/fluid name
Examples: urine
External reference::
Notes:

27. Lab Test Method
Name: Lab Test Method
Multiple Sets: One Lab Test Method is associated with one LabTest
Risk:
Definition: Primary method used in lab test to obtain measurements and attributes pertaining to the pathogen
NA allowed: Yes
Data Type: text
Accepted Values: LOINC: Primary method used in lab test name (e.g. immunoassay, PCR...)
Examples: Minimum Inhibitory Concentration
External reference:: https://loinc.org/
Notes: *Ref. Clinical Metadata: lab tests and treatment example metadata components. *Row is redundant if using LOINC codes for LabTestTypePathogen and/or LabTestTypePathogenAttribute => optional

28. Lab Test Measurement
Name: Lab Test Measurement
Multiple Sets: One Lab Test Measurement is associated with one Lab Test.
Risk:
Definition: Actual results of lab test recorded as numeric value, units recorded as text
NA allowed: Yes
Data Type: numeric, text
Accepted Values: Units: metric, Scale: nominal, ordinal, quantitative, ordinal quantitative. Standard International (SI) units encouraged.
Examples: >0.5µg
External reference:: https://loinc.org/
Notes: *Ref. Clinical Metadata: lab tests and treatment example metadata components

29. Lab Test Standard
Name: Lab Test Standard
Multiple Sets: One Lab Test Standard is associated with one LabTest
Risk:
Definition: Accrediting entity that the testing laboratory references/adheres to for procedural/measurement standards for microbial tests.
NA allowed: Yes
Data Type: text
Accepted Values: CLSI; EUCAST; IFCC; ILAC; CLIA; ISO 15189 other - specify
Examples: CLSI
External reference:: http://www.clsi.org/ http://www.eucast.org/ http://www.ifcc.org/ http://www.iso.org/iso/catalogue_detail?csnumber=56115 http://www.cms.gov/Regulations-and-Guidance/Legislation/CLIA/index.html?redirect=/clia/ https://www.ilac.org/
Notes: EUCAST only applies for antibiotic resistance breakpoint standards *****When submitting metadata for antibiotic resistance users MUST include what standards were used to define S/R classification breakpoints if they are NOT submitting MIC numbers (CLSI and EUCAST S/R breakpoints are not comparable => resistance metadata in S/R format can only be meaningfully aggregated within breakpoint standards but not between them)

30. Relative Lab Test Date
Name: Relative Lab Test Date
Multiple Sets:
Risk: Specific dates in general are an identification risk if tied to HIPAA identifiers such as admission date or date of death.
Definition: Time the lab test of the subject was determined relative to the date of the sample collection event.
NA allowed: Yes
Data Type: numeric
Accepted Values: numeric; may include year-month-day-hour-sec
Examples: 5 years and 6 months and 1 day
External reference::
Notes:

31. Treatment Type Pathogen
Name: Treatment Type Pathogen
Multiple Sets: Multiple Treatment Type Pathogen is associated with one/multiple Diagnosis and/or LabTest
Risk:
Definition: Treatment given to the subject directly related to the diagnosed pathogen
NA allowed: Yes
Data Type: drug/treatment
Name: text, units: quantitative, body site: text, devices used: text
Accepted Values: RxNorm: Drug dose (generic chemical name + method of delivery + units), Procedure (e.g excision + devices used),
Examples: 309114 (cephalexin 500 MG Oral Capsule)
External reference:: http://www.nlm.nih.gov/research/umls/rxnorm/
Notes:

32. Treatment Body Site
Name: Treatment Body Site
Multiple Sets: One Body site is associated with one Treatment Type
Risk:
Definition: Location on body or avenue through which treatment was administered
NA allowed: Yes
Data Type: text
Accepted Values: Terminologia Anatomica: hemisphere (if applicable) and site/subsite name
Examples: oral
External reference:: https://loinc.org/
Notes: ***Row is redundant if using RxNorm codes for Treatment Type Pathogen when treatment only involves administration of drugs => optional. Row is NOT redundant if treatment involves surgical intervention => mandatory

33. Relative Treatment Onset Date
Name: Relative Treatment Onset Date
Multiple Sets:
Risk: Specific dates in general are an identification risk if tied to HIPAA identifiers such as admission date or date of death.
Definition: Relative time from the sample collection from the date when treatment of the subject started.
NA allowed: Yes
Data Type: text, numeric
Accepted Values: numeric; may include year-month-day-hour-sec
Examples: 5 years and 6 months and 1 day
External reference::
Notes:

34. Treatment Duration
Name: Treatment Duration
Multiple Sets: Multiple Treatment Duration is associated with corresponding Treatment Type
Risk:
Definition: Time interval in which treatment took place. Possible ways of capturing data without violating HIPAA
NA allowed: Yes
Data Type: text, numeric
Accepted Values: Time stamp (single point in time), Time interval (prolonged treatment and/or multiple instances of single treatment/dosage)
Examples: 3/24hours
External reference::
Notes:

35. Treatment Outcome
Name: Treatment Outcome
Multiple Sets: Multiple Treatment Outcome corresponding to completed rounds of Treatment Type
Risk:
Definition: Indication of whether treatment of the subject was effective at the end of the treatment duration. A successful treatment outcome is contingent on the patient not being re-diagnosed with an ailment associated with the targeted pathogen at the end of a specific Treatment Duration
NA allowed: Yes
Data Type: text
Accepted Values: successful / unsuccessful
Examples: unsuccessful
External reference::
Notes:

36. Vaccine Type
Name: Vaccine Type
Multiple Sets:
Risk:
Definition: The type of vaccine administered to the subject during the study.
NA allowed: Yes
Data Type: text
Accepted Values: Vaccine Ontology: Live attenuated, inactivated, subunit, toxoid, conjugated, DNA, recombinant vector based, recombinant protein
Examples: live attenuated
External reference:: http://www.violinet.org/vaccineontology/
Notes:

37. Vaccine Source
Name: Vaccine Source
Multiple Sets:
Risk:
Definition: Name of the vaccine manufacture and vaccine production batch number or the lot number.
NA allowed: Yes
Data Type: text, numeric
Accepted Values: Vaccine Ontology MERK, PENTACEL, NOVARTIS, GSK, MEDIMMUNE, etc. and batch/lot number as numeric and text
Examples: GSK Flulaval, Batch No; 22011-13, Lot No:OH90019AB
External reference:: http://www.violinet.org/vaccineontology/
Notes:

38. Vaccine Dosage
Name: Vaccine Dosage
Multiple Sets:
Risk:
Definition: Number of times the subject was vaccinated during the study.
NA allowed: Yes
Data Type: numeric, text
Accepted Values: integer
Examples: 3
External reference:: http://www.violinet.org/vaccineontology/
Notes:

39. Vaccine Dosage Amount
Name: Vaccine Dosage Amount
Multiple Sets:
Risk:
Definition: The total amount (concentration or total volume) administered per each vaccination to subject during the study.
NA allowed: Yes
Data Type: numeric
Accepted Values: value + SI unit pairs
Examples: 0.5ml
External reference:: http://www.violinet.org/vaccineontology/
Notes:

40. Vaccine Adjuvant
Name: Vaccine Adjuvant
Multiple Sets:
Risk:
Definition: Component that potentiates the immune responses to a vaccine antigen and enhance the desired immune responses.
NA allowed: Yes
Data Type: text
Accepted Values: Vaccine Ontology: Vaccine adjuvant Nonadjuvanted, adjuvanted with alum, MF59, monophosphoryl lipid A (MPL) etc.
Examples: nonadjuvanted
External reference:: http://purl.obolibrary.org/obo/VO_0000580
Notes:

41. Relative Vaccination Date
Name: Relative Vaccination Date
Multiple Sets:
Risk: Specific dates in general are an identification risk if tied to HIPAA identifiers such as admission date or date of death.
Definition: Time of vaccination(s) of the subject relative to the date of the sample collection event.
NA allowed: Yes
Data Type: numeric
Accepted Values: numeric; may include year-month-day-hour-sec
Examples: 5 years and 6 months and 1 day
External reference:: http://www.violinet.org/vaccineontology/
Notes: *need to think about versioning, backwards compatibility

42. Site of Vaccination
Name: Site of Vaccination
Multiple Sets:
Risk:
Definition: The mode in which vaccine was administered to the subject. SC = Subcutaneous, IM = Intramuscular, IV = Intravenous, IN = Intranasal, O = Oral
NA allowed: Yes
Data Type: text
Accepted Values: Vaccine Ontology: Route of administration SC, IM, IV, IN, Oral
Examples: im
External reference:: http://www.ontobee.org/browser/rdf.php?o=VO&iri=http://purl.obolibrary.org/obo/VO_0000574
Notes:

Last Updated May 14, 2014