chore: update test data for repeated variable mappings (#3230)

* update test data for repeated variable mappings

data/_demodata/applications/datacatalogue/Catalogues.csv

@@ -4,3 +4,4 @@ ATHLETE,project
 IPEC,theme
 EUChildNetwork,project
 OOM,project
+LongITools,project

data/_demodata/applications/datacatalogue/Cohorts.csv

@@ -134,3 +134,4 @@ DNBC,,DNBC,The Danish National Birth Cohort,,,https://www.dnbc.dk,UCPH,,"The Dan
 ELSPAC,,ELSPAC,ELSPAC,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
 FEF,,FEF,Fibrefects - Grain fibre modification for gut-mediated health effects,,"RCT, Postprandial, Glucose metabolism, Short chain fatty acids, Rye, Wheat, Wholegrain, Bran, Bioprocessing, Gastrointestinal symptoms",,UEF,,,,Clinical trial,,Longitudinal,,,Prospective,,25,25,Finland,,"Adult (25-44 years),Middle-aged (45-64 years)",,,2011,2011,,,,Closed dataset,,no,,health or medical or biomedical research,,,,10.1186/1475-2891-13-104,10.1093/ajcn/nqy394,,"This study was carried out as a part of the FIBREFECTS (Grain fiber modification for gut mediated health effects) funded mainly by TEKES – The Finnish Funding Agency for Technology and Innovation – and to a smaller extent by Oy Karl Fazer Ab, Vaasan Oy, and Ravintoraisio Oy. The study was supported by a grant from Raisio Plc Research Foundation to J. Lappi, Academy of Finland to K. Poutanen, the Nordic Centre of Excellence on ‘Systems biology in controlled dietary interventions and cohort studies’ (SYSDIET; 070014) to M. Kolehmainen, the Nordic Centre of Excellence on ‘Nordic health – whole grain food (HELGA; 070015) to H. Mykkänen, and the Danish Strategic Research Council, ‘Concepts for enhanced butyrate production to improve colonic health and insulin sensi","Authors thank Erja Kinnunen, Eeva Lajunen and Lilli Lotvonen for their excellent technical assistance during the intervention.",
 KANC,,KANC,Kaunas cohort,,,,VMU,,,,Population cohort,,Longitudinal,,,"Retrospective,Prospective",,4000,4000,Lithuania,,"Prenatal,Child (2-12 years),Adolescent (13-17 years)",,,2007,,,,,,,,,health or medical or biomedical research,,,,,,,,,
+ENVIRONAGE,,ENVIRONAGE,ENVIRonmental influence ON early AGEing,,"air pollution, child, aging, newborn, exposome, telomere length, placenta, omics, cardiovascular, system cognition",https://www.uhasselt.be/Algemene-Informatie-Limburgs-Geboortecohort,UHASSELT,,Within the ongoing population-based prospective birth cohort study ENVIRONAGE we explore new dimensions in the current understanding of human ageing and its interaction with the environment,,Birth cohort,,Longitudinal,,,"Retrospective,Prospective",,2000,2000,Belgium,,,,,2010,,,,,Annually,"Due to ongoing recruitment and follow-up, annual updates are provided of the datasets",No,,health or medical or biomedical research,,Contact Tim Nawrot ([email protected]) or Michelle Plusquin ([email protected]),,10.1093/ije/dyw269,,,"The ENVIRONAGE birth cohort is supported by the European Research Council [ERC-2012-StG.310898], and by funds of the Flemish Scientific Research council [FWO, G.0.733.15.N, G.0.592.14].","The authors are extremely grateful to the participating women and neonates, as well as the staff of the maternity ward, midwives and the staff of the clinical laboratory of East-Limburg Hospital in Genk.",

data/_demodata/applications/datacatalogue/Datasets.csv

@@ -1,6 +1,17 @@
 resource,name,label,unit of observation,keywords,description,number of rows,since version,until version
+G21,blood_pressure,blood pressure,,,blood pressure of the child measured during G21 cohort follow-ups,,1.0.0,
+G21,child,child,person,,,,1,
+ENVIRONAGE,measurements after birth,,,,,,,
+ENVIRONAGE,measurements at FU1,,,,,,,
+ENVIRONAGE, bloodpressure after birth,,,,,,,
 DHL,CPA2,,,,,,1.0,
 DHL,CPA1,,,,,,1.0,
+GenR,core,,,,,,1.0.0,
+GenR,FETALCRL_22112016,DataWiki dataset FETALCRL_22112016,,,,,1.0.0,
+GenR,FETALPLACENTA_22112016,DataWiki dataset FETALPLACENTA_22112016,,,,,1.0.0,
+GenR,ATHLETE_fetal_growth_standardized,ATHLETE Harmonised dataset with standardized fetal growth data: ATHLETE_fetal_growth_standardized,,,,,1.0.0,
+GenR,CHILD-ALLGENERALDATA_12112020,DataWiki dataset CHILD-ALLGENERALDATA_12112020,,,,,1.0.0,
+GenR,FETALGROWTH_22112016,DataWiki dataset FETALGROWTH_22112016,,,,,1.0.0,
 ANAGRAFICA,ANAGRAFICA,,,,,,1.0,
 AP,AP,,,,,,1.0,
 ARS_ANAG_MED_RES_storico,ARS_ANAG_MED_RES_storico,,,,,,1.0,

data/_demodata/applications/datacatalogue/Models.csv

@@ -3,4 +3,4 @@ LongITools_CDM,,,LongITools common data model,,,,,,,,,,
 LifeCycle_CDM,,,LifeCycle common data model,,,,,,,,,,
 ATHLETE_CDM,,,ATHLETE common data model,,,,,,,,,,
 IPEC_CDM,,,IPEC common data model,,,,,,,,,,
-OOM_CDM,,OOM_CDM,OOM_CDM,,,,Common data model of OOM,,,,,,
+OOM_CDM,,OOM_CDM,OOM_CDM,,,,Common data model of OOM,,,,,,

data/_demodata/applications/datacatalogue/Networks.csv

@@ -2,6 +2,6 @@ id,pid,acronym,name,type,features,website,lead organisation,additional organisat
 LifeCycle,,LifeCycle,The LifeCycle Project,,,https://lifecycle-project.eu/,,,,"A Europe-wide network of cohort studies started in early life Cohort studies started from pregnancy or childhood give the unique opportunity to relate early-life stressors with variation in development, health and disease throughout the life course. Moreover, advanced analytical approaches used in observational studies can help identify causality and potential for early-life interventions on factors that cannot be easily studied in experimental settings. These factors include socioeconomic circumstances, migration, urban environment as well as lifestyle-related determinants and will be given particular focus in our project. We will set up a European pregnancy and childhood cohort, the EU Child Cohort Network, which brings together extensive existing data from more than 250,000 European children and their parents. These cohorts enable studies in multiple generations because of their detailed phenotyping of both parents and children. The network will bring together existing successful multidisciplinary cohort studies, which all started before or during pregnancy or in childhood. Together, they span the full life course and contain detailed phenotypical information as well as biological samples. The EU Child Cohort Network will optimize exploitation of more than 40 available cohort resources in Europe and will enable innovative research on identification of novel markers of early-life stressors related to health trajectories throughout the full life cycle. Although LifeCycle partners and their cohorts have taken the initiative for this unique collaboration, the network is open to other partners with population-based cohorts started in early life, specifically those from Eastern and Southern Europe. To ensure that this will be a Europe-wide, open and sustainable network, which exceeds the LifeCycle Project duration, we will introduce a data sharing platform taking account of ethical, legal and societal implications, we will organize yearly meetings open to all European pregnancy and child cohort researchers and we will start a fellowship programme for exchange between these European cohorts.",,,,,,,,,,"ELFE,GECKO,ALSPAC",LifeCycle_CDM,
 ATHLETE,,ATHLETE,Advancing Tools for Human Early Lifecourse Exposome Research and Translation,h2020,,https://athleteproject.eu/,,,,"Children are particularly vulnerable to environmental hazards. The ATHLETE project will measure a wide range of environmental exposures (urban, chemical, lifestyle and social risk factors) during pregnancy, childhood, and adolescence. The project will then link this “early-life exposome” to children’s biological responses and cardiometabolic, respiratory, and mental health. The results will help us to better understand and prevent health damage from environmental agents from the earliest parts of the life course onward.",,,,,,,,,,"DNBC,PELAGIE,G21,ELSPAC,BIB,GenR,Sepages,INMA,EDEN,MoBa,KANC,GenR Next",ATHLETE_CDM,
 IPEC,,IPEC,International Psychosis Epidemiology Consortium,harmonization,,https://www.ipec-project.com/,UMCG,"UMCG,GGZ Drenthe,GGZ Friesland,Lentis Research,UCPH",,"There are many early psychosis cohorts in the world. Epidemiological research with these cohorts over the past decades has greatly increased the understanding of distribution and mechanisms of psychotic disorders. Carrying out cross-country comparisons on a larger scale is extremely costly. An alternative strategy is to pool the existing large amount of data from high-quality early psychosis studies at an individual patient level. This approach has multiple advantages: it allows for examining psychosis determinants with greater precision, also including rare exposures and outcomes, focusing on (long-term) follow-up, and making optimal use of already existing data. To achieve this, the International Psychosis Epidemiology Consortium (IPEC) has catalogued and harmonized data from early psychosis cohorts and set up a virtual databank. With this databank, multiple (epidemiological) studies within the scope of the following research question will be conducted: “What drives the course of functional, existential and clinical outcomes of (early) psychosis and how does the social and geographical context shape these patterns?”.",,"Denmark,Netherlands (the)",2023,,,"IPEC was supported by the 2020 SIRS Research Harmonization Group Award which included a grant in the amount of $5000 USD to Prof. Wim Veling and Prof. Craig Morgan; an internal MD-PhD research grant of the University Medical Center Groningen (grant number 18-41) to Vera Brink, MSc; a grant in the amount of 400,000 DKK of the Capital Regions Research council to Dr Nikolai Albert; and the participating institutions (Lentis Psychiatric Institute, GGZ Drenthe, GGZ Friesland, University Center Psychiatry of University Medical Center Groningen, Bispebjerg hospital, Psychiatric Hospital Risskov, and Psychiatric Centre Copenhagen).","IPEC wishes to acknowledge the services of all the study participants, staff, research groups, and institutions collaborating in IPEC, and of MOLGENIS and RoQua, who helped build and maintain the technical infrastructure.",,,PSYCONN,IPEC_CDM,
-LongITools,,LongITools,LongITools health & environment dynamics,h2020,,https://longitools.org/,,,,"LongITools is a European research project studying the interactions between the environment, lifestyle and health in determining the risks of chronic cardiovascular and metabolic diseases.",,,,,,,,,,"NFBC1986,GenR,DFBC,ALSPAC,EDEN,NOMA,ELFE,RS2,RS1",
+LongITools,,LongITools,LongITools health & environment dynamics,h2020,,https://longitools.org/,,,,"LongITools is a European research project studying the interactions between the environment, lifestyle and health in determining the risks of chronic cardiovascular and metabolic diseases.",,,,,,,,,,"NFBC1986,G21,DFBC,ALSPAC,EDEN,NOMA,ELFE,RS2,RS1,ENVIRONAGE,GenR",
 EUChildNetwork,,EUChildNetwork,The EU Child Cohort Network,harmonization,,https://lifecycle-project.eu/for-scientists/the-eu-child-cohort-network/,,,,"The EU Child Cohort Network: A Europe-wide network of cohort studies started in early life Cohort studies started from pregnancy or childhood give the unique opportunity to relate early-life stressors with variation in development, health and disease throughout the life course. Moreover, advanced analytical approaches used in observational studies can help identify causality and potential for early-life interventions on factors that cannot be easily studied in experimental settings. These factors include socioeconomic circumstances, migration, urban environment as well as lifestyle-related determinants and will be given particular focus in our project. We will set up a European pregnancy and childhood cohort, the EU Child Cohort Network, which brings together extensive existing data from more than 250,000 European children and their parents. These cohorts enable studies in multiple generations because of their detailed phenotyping of both parents and children. The network will bring together existing successful multidisciplinary cohort studies, which all started before or during pregnancy or in childhood. Together, they span the full life course and contain detailed phenotypical information as well as biological samples. The EU Child Cohort Network will optimize exploitation of more than 40 available cohort resources in Europe and will enable innovative research on identification of novel markers of early-life stressors related to health trajectories throughout the full life cycle. Although LifeCycle partners and their cohorts have taken the initiative for this unique collaboration, the network is open to other partners with population-based cohorts started in early life, specifically those from Eastern and Southern Europe. To ensure that this will be a Europe-wide, open and sustainable network, which exceeds the LifeCycle Project duration, we will introduce a data sharing platform taking account of ethical, legal and societal implications, we will organize yearly meetings open to all European pregnancy and child cohort researchers and we will start a fellowship programme for exchange between these European cohorts.",,,,,,,,,,"NOMA,RS2,RS1,RS3,KANC,ALSPAC,GECKO,GenR","LifeCycle_CDM,LongITools_CDM","LifeCycle,ATHLETE"
 OOM,,OOM,OOM,,,,"UMCU,GSK","PHARMO.I,UoD,LAREB,GSK,USWAN,UMCU,UMCG,ULST,UPP,UB,KUL,NP,SAN,FISABIO,LIPRE,DHL.I,BBMRI-ERIC,JP,CHUT,FERR,SIDIAP.I,TAK,CNR-IFC,ARS.TOSCANA,MLT.I,AU,AEMPS,OVGU,UM,UKZN,IHD,UCB,UiO",,"The main goal of OOM is to establish a trusted ecosystem that can efficiently, systematically, and in an ethically responsible manner, generate and disseminate reliable evidence-based information regarding effects of medications used during pregnancy and breastfeeding to women and their healthcare providers. This will be achieved by generating, cataloguing, linking, collecting and analysing data from pharmacovigilance, modelling, routine healthcare, breastmilk samples through a large network.",,,,,,,,"ABL,DHL,EUROCAT NNL","COD_FARMACI_SPF,AP,ARS_PS,EXE,PHT,SEA,SPA,VCN,SALM,MBRN,RMR","GECKO,GenR,RS1,RS2,RS3",OOM_CDM,"LifeCycle,ATHLETE"