Add relationship table description

closes #662

inst/csv/OMOP_CDMv5.4_Table_Level.csv

@@ -61,19 +61,15 @@ episode,CDM,No,NA,No,NA,NA,"The EPISODE table aggregates lower-level clinical ev
 episode_event,CDM,No,NA,No,NA,NA,"The EPISODE_EVENT table connects qualifying clinical events (such as CONDITION_OCCURRENCE, DRUG_EXPOSURE, PROCEDURE_OCCURRENCE, MEASUREMENT) to the appropriate EPISODE entry. For example, linking the precise location of the metastasis (cancer modifier in MEASUREMENT) to the disease episode.",This connecting table is used instead of the FACT_RELATIONSHIP table for linking low-level events to abstracted Episodes.,"Some episodes may not have links to any underlying clinical events. For such episodes, the EPISODE_EVENT table is not populated."
 metadata,CDM,No,NA,No,NA,NA,The METADATA table contains metadata information about a dataset that has been transformed to the OMOP Common Data Model.,NA,NA
 cdm_source,CDM,No,NA,No,NA,NA,The CDM_SOURCE table contains detail about the source database and the process used to transform the data into the OMOP Common Data Model.,NA,NA
-concept,VOCAB,No,NA,No,NA,NA,"The Standardized Vocabularies contains records, or Concepts, that uniquely identify each fundamental unit of meaning used to express clinical information in all domain tables of the CDM. Concepts are derived from vocabularies, which represent clinical information across a domain (e.g. conditions, drugs, procedures) through the use of codes and associated descriptions. Some Concepts are designated Standard Concepts, meaning these Concepts can be used as normative expressions of a clinical entity within the OMOP Common Data Model and standardized analytics. Each Standard Concept belongs to one Domain, which defines the location where the Concept would be expected to occur within the data tables of the CDM. Concepts can represent broad categories ('Cardiovascular disease'), detailed clinical elements ('Myocardial infarction of the anterolateral wall'), or modifying characteristics and attributes that define Concepts at various levels of detail (severity of a disease, associated morphology, etc.). Records in the Standardized Vocabularies tables are derived from national or international vocabularies such as SNOMED-CT, RxNorm, and LOINC, or custom OMOP Concepts defined to cover various aspects of observational data analysis.
-","The primary purpose of the CONCEPT table is to provide a standardized representation of medical Concepts, allowing for consistent querying and analysis across the healthcare databases.
-Users can join the CONCEPT table with other tables in the CDM to enrich clinical data with standardized Concept information or use the CONCEPT table as a reference for mapping clinical data from source terminologies to Standard Concepts.",NA
+concept,VOCAB,No,NA,No,NA,NA,"The Standardized Vocabularies contains records, or Concepts, that uniquely identify each fundamental unit of meaning used to express clinical information in all domain tables of the CDM. Concepts are derived from vocabularies, which represent clinical information across a domain (e.g. conditions, drugs, procedures) through the use of codes and associated descriptions. Some Concepts are designated Standard Concepts, meaning these Concepts can be used as normative expressions of a clinical entity within the OMOP Common Data Model and standardized analytics. Each Standard Concept belongs to one Domain, which defines the location where the Concept would be expected to occur within the data tables of the CDM. Concepts can represent broad categories ('Cardiovascular disease'), detailed clinical elements ('Myocardial infarction of the anterolateral wall'), or modifying characteristics and attributes that define Concepts at various levels of detail (severity of a disease, associated morphology, etc.). Records in the Standardized Vocabularies tables are derived from national or international vocabularies such as SNOMED-CT, RxNorm, and LOINC, or custom OMOP Concepts defined to cover various aspects of observational data analysis.","The primary purpose of the CONCEPT table is to provide a standardized representation of medical Concepts, allowing for consistent querying and analysis across the healthcare databases. Users can join the CONCEPT table with other tables in the CDM to enrich clinical data with standardized Concept information or use the CONCEPT table as a reference for mapping clinical data from source terminologies to Standard Concepts.",NA
 vocabulary,VOCAB,No,NA,No,NA,NA,The VOCABULARY table includes a list of the Vocabularies integrated from various sources or created de novo in OMOP CDM. This reference table contains a single record for each Vocabulary and includes a descriptive name and other associated attributes for the Vocabulary.,"The primary purpose of the VOCABULARY table is to provide explicit information about specific vocabulary versions and the references to the sources from which they are asserted. Users can identify the version of a particular vocabulary used in the database, enabling consistency and reproducibility in data analysis. Besides, users can check the vocabulary release version in their CDM which refers to the vocabulary_id = 'None'.",NA
 domain,VOCAB,No,NA,No,NA,NA,"The DOMAIN table includes a list of OMOP-defined Domains to which the Concepts of the Standardized Vocabularies can belong. A Domain represents a clinical definition whereby we assign matching Concepts for the standardized fields in the CDM tables. For example, the Condition Domain contains Concepts that describe a patient condition, and these Concepts can only be used in the condition_concept_id field of the CONDITION_OCCURRENCE and CONDITION_ERA tables. This reference table is populated with a single record for each Domain, including a Domain ID and a descriptive name for every Domain.","Users can leverage the DOMAIN table to explore the full spectrum of health-related data Domains available in the Standardized Vocabularies. Also, the information in the DOMAIN table may be used as a reference for mapping source data to OMOP domains, facilitating data harmonization and interoperability.",NA
 concept_class,VOCAB,No,NA,No,NA,NA,"The CONCEPT_CLASS table includes semantic categories that reference the source structure of each Vocabulary. Concept Classes represent so-called horizontal (e.g. MedDRA, RxNorm) or vertical levels (e.g. SNOMED) of the vocabulary structure. Vocabularies without any Concept Classes, such as HCPCS, use the vocabulary_id as the Concept Class. This reference table is populated with a single record for each Concept Class, which includes a Concept Class ID and a fully specified Concept Class name.
 ",Users can utilize the CONCEPT_CLASS table to explore the different classes or categories of concepts within the OHDSI vocabularies.,NA
 concept_relationship,VOCAB,No,NA,No,NA,NA,"The CONCEPT_RELATIONSHIP table contains records that define relationships between any two Concepts and the nature or type of the relationship. This table captures various types of relationships, including hierarchical, associative, and other semantic connections, enabling comprehensive analysis and interpretation of clinical concepts. Every kind of relationship is defined in the RELATIONSHIP table.","The CONCEPT_RELATIONSHIP table can be used to explore hierarchical or attribute relationships between concepts to understand the hierarchical structure of clinical concepts and uncover implicit connections and associations within healthcare data. For example, users can utilize mapping relationships ('Maps to') to harmonize data from different sources and terminologies, enabling interoperability and data integration across disparate datasets.",NA
-relationship,VOCAB,No,NA,No,NA,NA,The RELATIONSHIP table provides a reference list of all types of relationships that can be used to associate any two concepts in the CONCEPT_RELATIONSHP table.,NA,NA
+relationship,VOCAB,No,NA,No,NA,NA,"The RELATIONSHIP table provides a reference list of all types of relationships that can be used to associate any two Concepts in the CONCEPT_RELATIONSHIP table, the respective reverse relationships, and their hierarchical characteristics. Note, that Concepts representing relationships between the clinical facts, used for filling in the FACT_RELATIONSHIP table are stored in the CONCEPT table and belong to the Relationship Domain.","Users can leverage the RELATIONSHIP table to explore the full list of direct and reverse relationships within the OMOP vocabulary system. Also, users can get insight into how these relationships can be used in ETL, cohort creation, and other tasks according to their ancestral characteristics.",NA
 concept_synonym,VOCAB,No,NA,No,NA,NA,The CONCEPT_SYNONYM table is used to store alternate names and descriptions for Concepts.,NA,NA
-concept_ancestor,VOCAB,No,NA,No,NA,NA,"The CONCEPT_ANCESTOR table is designed to simplify observational analysis by providing the complete hierarchical relationships between Concepts. Only direct parent-child relationships between Concepts are stored in the CONCEPT_RELATIONSHIP table. To determine higher level ancestry connections, all individual direct relationships would have to be navigated at analysis time. The CONCEPT_ANCESTOR table includes records for all parent-child relationships, as well as grandparent-grandchild relationships and those of any other level of lineage. Using the CONCEPT_ANCESTOR table allows for querying for all descendants of a hierarchical concept. For example, drug ingredients and drug products are all descendants of a drug class ancestor.
-
-This table is entirely derived from the CONCEPT, CONCEPT_RELATIONSHIP and RELATIONSHIP tables.",NA,NA
+concept_ancestor,VOCAB,No,NA,No,NA,NA,"The CONCEPT_ANCESTOR table is designed to simplify observational analysis by providing the complete hierarchical relationships between Concepts. Only direct parent-child relationships between Concepts are stored in the CONCEPT_RELATIONSHIP table. To determine higher level ancestry connections, all individual direct relationships would have to be navigated at analysis time. The CONCEPT_ANCESTOR table includes records for all parent-child relationships, as well as grandparent-grandchild relationships and those of any other level of lineage. Using the CONCEPT_ANCESTOR table allows for querying for all descendants of a hierarchical concept. For example, drug ingredients and drug products are all descendants of a drug class ancestor. This table is entirely derived from the CONCEPT, CONCEPT_RELATIONSHIP and RELATIONSHIP tables.",NA,NA
 source_to_concept_map,VOCAB,No,NA,No,NA,NA,"The source to concept map table is recommended for use in ETL processes to maintain local source codes which are not available as Concepts in the Standardized Vocabularies, and to establish mappings for each source code into a Standard Concept as target_concept_ids that can be used to populate the Common Data Model tables. The SOURCE_TO_CONCEPT_MAP table is no longer populated with content within the Standardized Vocabularies published to the OMOP community. **There are OHDSI tools to help you populate this table; [Usagi](https://github.com/OHDSI/Usagi) and [Perseus](https://github.com/ohdsi/Perseus). You can read more about OMOP vocabulary mapping in [The Book of OHDSI Chapter 6.3](https://ohdsi.github.io/TheBookOfOhdsi/ExtractTransformLoad.html#step-2-create-the-code-mappings).**",NA,NA
 drug_strength,VOCAB,No,NA,No,NA,NA,The DRUG_STRENGTH table contains structured content about the amount or concentration and associated units of a specific ingredient contained within a particular drug product. This table is supplemental information to support standardized analysis of drug utilization.,NA,NA
 cohort,RESULTS,No,NA,No,NA,NA,"The subject of a cohort can have multiple, discrete records in the cohort table per cohort_definition_id, subject_id, and non-overlapping time periods. The definition of the cohort is contained within the COHORT_DEFINITION table. It is listed as part of the RESULTS schema because it is a table that users of the database as well as tools such as ATLAS need to be able to write to. The CDM and Vocabulary tables are all read-only so it is suggested that the COHORT and COHORT_DEFINTION tables are kept in a separate schema to alleviate confusion.",NA,"Cohorts typically include patients diagnosed with a specific condition, patients exposed to a particular drug, but can also be Providers who have performed a specific Procedure. Cohort records must have a Start Date and an End Date, but the End Date may be set to Start Date or could have an applied censor date using the Observation Period Start Date. Cohort records must contain a Subject Id, which can refer to the Person, Provider, Visit record or Care Site though they are most often Person Ids. The Cohort Definition will define the type of subject through the subject concept id. A subject can belong (or not belong) to a cohort at any moment in time. A subject can only have one record in the cohort table for any moment of time, i.e. it is not possible for a person to contain multiple records indicating cohort membership that are overlapping in time"

inst/csv/OMOP_CDMv6.0_Table_Level.csv

@@ -69,7 +69,7 @@ vocabulary,VOCAB,No,NA,No,NA,NA,The VOCABULARY table includes a list of the Voca
 domain,VOCAB,No,NA,No,NA,NA,"The DOMAIN table includes a list of OMOP-defined Domains the Concepts of the Standardized Vocabularies can belong to. A Domain defines the set of allowable Concepts for the standardized fields in the CDM tables. For example, the ""Condition"" Domain contains Concepts that describe a condition of a patient, and these Concepts can only be stored in the condition_concept_id field of the CONDITION_OCCURRENCE and CONDITION_ERA tables. This reference table is populated with a single record for each Domain and includes a descriptive name for the Domain.",NA,NA
 concept_class,VOCAB,No,NA,No,NA,NA,"The CONCEPT_CLASS table is a reference table, which includes a list of the classifications used to differentiate Concepts within a given Vocabulary. This reference table is populated with a single record for each Concept Class.",NA,NA
 concept_relationship,VOCAB,No,NA,No,NA,NA,The CONCEPT_RELATIONSHIP table contains records that define direct relationships between any two Concepts and the nature or type of the relationship. Each type of a relationship is defined in the RELATIONSHIP table.,NA,NA
-relationship,VOCAB,No,NA,No,NA,NA,The RELATIONSHIP table provides a reference list of all types of relationships that can be used to associate any two concepts in the CONCEPT_RELATIONSHP table.,NA,NA
+relationship,VOCAB,No,NA,No,NA,NA,"The RELATIONSHIP table provides a reference list of all types of relationships that can be used to associate any two Concepts in the CONCEPT_RELATIONSHIP table, the respective reverse relationships, and their hierarchical characteristics. Note, that Concepts representing relationships between the clinical facts, used for filling in the FACT_RELATIONSHIP table are stored in the CONCEPT table and belong to the Relationship Domain.","Users can leverage the RELATIONSHIP table to explore the full list of direct and reverse relationships within the OMOP vocabulary system. Also, users can get insight into how these relationships can be used in ETL, cohort creation, and other tasks according to their ancestral characteristics.",NA
 concept_synonym,VOCAB,No,NA,No,NA,NA,The CONCEPT_SYNONYM table is used to store alternate names and descriptions for Concepts.,NA,NA
 concept_ancestor,VOCAB,No,NA,No,NA,NA,"The CONCEPT_ANCESTOR table is designed to simplify observational analysis by providing the complete hierarchical relationships between Concepts. Only direct parent-child relationships between Concepts are stored in the CONCEPT_RELATIONSHIP table. To determine higher level ancestry connections, all individual direct relationships would have to be navigated at analysis time. The CONCEPT_ANCESTOR table includes records for all parent-child relationships, as well as grandparent-grandchild relationships and those of any other level of lineage. Using the CONCEPT_ANCESTOR table allows for querying for all descendants of a hierarchical concept. For example, drug ingredients and drug products are all descendants of a drug class ancestor.