Search

Your search keyword '"Lind, Sirje"' showing total 7 results
Start Over Author "Lind, Sirje"
7 results on '"Lind, Sirje"'

1. Metadata for Data dIscoverability aNd Study rEplicability in obseRVAtional Studies (MINERVA): Development and Pilot of a Metadata List and Catalogue in Europe

Author

Infection & Immunity, Child Health, Data Science & Biostatistiek, Pajouheshnia, Romin, Gini, Rosa, Gutierrez, Lia, Swertz, Morris A, Hyde, Eleanor, Sturkenboom, Miriam, Arana, Alejandro, Franzoni, Carla, Ehrenstein, Vera, Roberto, Giuseppe, Gil, Miguel, Maciá, Miguel Angel, Schäfer, Wiebke, Haug, Ulrike, Thurin, Nicolas H, Lassalle, Régis, Droz-Perroteau, Cécile, Zaccagnino, Silvia, Busto, Maria Paula, Middelkoop, Bas, Gembert, Karin, Sanchez-Saez, Francisco, Rodriguez-Bernal, Clara, Sanfélix-Gimeno, Gabriel, Hurtado, Isabel, Acosta, Manuel Barreiro de, Poblador-Plou, Beatriz, Carmona-Pírez, Jonás, Gimeno-Miguel, Antonio, Prados-Torres, Alexandra, Schultze, Anna, Jansen, Ella, Herings, Ron, Kuiper, Josine, Locatelli, Igor, Jazbar, Janja, Žerovnik, Špela, Kos, Mitja, Smit, Steven, Lind, Sirje, Metspalu, Andres, Simou, Stefania, Hedenmalm, Karin, Cochino, Ana, Alcini, Paolo, Kurz, Xavier, Perez-Gutthann, Susana, Infection & Immunity, Child Health, Data Science & Biostatistiek, Pajouheshnia, Romin, Gini, Rosa, Gutierrez, Lia, Swertz, Morris A, Hyde, Eleanor, Sturkenboom, Miriam, Arana, Alejandro, Franzoni, Carla, Ehrenstein, Vera, Roberto, Giuseppe, Gil, Miguel, Maciá, Miguel Angel, Schäfer, Wiebke, Haug, Ulrike, Thurin, Nicolas H, Lassalle, Régis, Droz-Perroteau, Cécile, Zaccagnino, Silvia, Busto, Maria Paula, Middelkoop, Bas, Gembert, Karin, Sanchez-Saez, Francisco, Rodriguez-Bernal, Clara, Sanfélix-Gimeno, Gabriel, Hurtado, Isabel, Acosta, Manuel Barreiro de, Poblador-Plou, Beatriz, Carmona-Pírez, Jonás, Gimeno-Miguel, Antonio, Prados-Torres, Alexandra, Schultze, Anna, Jansen, Ella, Herings, Ron, Kuiper, Josine, Locatelli, Igor, Jazbar, Janja, Žerovnik, Špela, Kos, Mitja, Smit, Steven, Lind, Sirje, Metspalu, Andres, Simou, Stefania, Hedenmalm, Karin, Cochino, Ana, Alcini, Paolo, Kurz, Xavier, and Perez-Gutthann, Susana

Published
2024

2. Metadata for Data dIscoverability aNd Study rEplicability in obseRVAtional Studies (MINERVA): Lessons Learnt From the MINERVA Project in Europe

Author

Data Science & Biostatistiek, Child Health, Infection & Immunity, Gini, Rosa, Pajouheshnia, Romin, Gutierrez, Lia, Swertz, Morris A, Hyde, Eleanor, Sturkenboom, Miriam, Arana, Alejandro, Franzoni, Carla, Ehrenstein, Vera, Roberto, Giuseppe, Gil, Miguel, Maciá, Miguel Angel, Schäfer, Wiebke, Haug, Ulrike, Thurin, Nicolas H, Lassalle, Régis, Droz-Perroteau, Cécile, Zaccagnino, Silvia, Busto, Maria Paula, Middelkoop, Bas, Gembert, Karin, Sanchez-Saez, Francisco, Rodriguez-Bernal, Clara, Sanfélix-Gimeno, Gabriel, Hurtado, Isabel, Acosta, Manuel Barreiro de, Poblador-Plou, Beatriz, Carmona-Pírez, Jonás, Gimeno-Miguel, Antonio, Prados-Torres, Alexandra, Schultze, Anna, Jansen, Ella, Herings, Ron, Kuiper, Josine, Locatelli, Igor, Jazbar, Janja, Žerovnik, Špela, Kos, Mitja, Smit, Steven, Lind, Sirje, Metspalu, Andres, Simou, Stefania, Hedenmalm, Karin, Cochino, Ana, Alcini, Paolo, Kurz, Xavier, Perez-Gutthann, Susana, Data Science & Biostatistiek, Child Health, Infection & Immunity, Gini, Rosa, Pajouheshnia, Romin, Gutierrez, Lia, Swertz, Morris A, Hyde, Eleanor, Sturkenboom, Miriam, Arana, Alejandro, Franzoni, Carla, Ehrenstein, Vera, Roberto, Giuseppe, Gil, Miguel, Maciá, Miguel Angel, Schäfer, Wiebke, Haug, Ulrike, Thurin, Nicolas H, Lassalle, Régis, Droz-Perroteau, Cécile, Zaccagnino, Silvia, Busto, Maria Paula, Middelkoop, Bas, Gembert, Karin, Sanchez-Saez, Francisco, Rodriguez-Bernal, Clara, Sanfélix-Gimeno, Gabriel, Hurtado, Isabel, Acosta, Manuel Barreiro de, Poblador-Plou, Beatriz, Carmona-Pírez, Jonás, Gimeno-Miguel, Antonio, Prados-Torres, Alexandra, Schultze, Anna, Jansen, Ella, Herings, Ron, Kuiper, Josine, Locatelli, Igor, Jazbar, Janja, Žerovnik, Špela, Kos, Mitja, Smit, Steven, Lind, Sirje, Metspalu, Andres, Simou, Stefania, Hedenmalm, Karin, Cochino, Ana, Alcini, Paolo, Kurz, Xavier, and Perez-Gutthann, Susana

Published
2024

4. Data Migration Testing

Author

Lind, Sirje and Anne Villems

Abstract

Infosüsteemide uuendamise ajajärgul puutuvad infosüsteemide arendajad üha enam kokku vajadusega tõsta (migreerida) vana infosüsteemi andmed uue infosüsteemi andmebaasi. Magistritöös selgitatakse migratsiooni testimist ning leitakse võimalusi testide koostamise ja testimise lihtsustamiseks (automatiseerimiseks). Testimise automatiseerimise vajadusest lähtuvalt käsitletakse migratsiooni testi päringute komplektina, kus igasse komplekti kuulub üks isevalideeruv test (päring) ja vähemalt üks vigaseid kirjeid tagastav abipäring. Sellise lähenemisviisiga saab testide käivitamisel kohese ülevaate migreeritud andmete seisust ja vigaste andmete (kirjete) detailvaate saamiseks ei ole vaja kirjutada SQL lauseid. Seega muutub vigade analüüsimine efektiivsemaks, sest väheneb täiendavate päringute koostamise vajadus. Testide koostamise automatiseerimise eelduseks testide sarnasuse alusel testide tüüpidesse jagamine. Töös defineeriti 16 testi tüüpi ja iga testi tüübi jaoks koostati testi päringu mall (template) ja abipäringute mallid (näidispäringud) ning selgitati testi metaandmete vajadust. Lisas toodud testide tüüpide kirjeldused on näidiseks migratsiooni testijatele. Testide kirjelduste alusel saab arendada ka testide päringute koostamise generaatori., In the era of information system upgrades, information system developers are increasingly confronted with the need to upgrade (migrate) the old information system data into the database of the new information system. Master's thesis explains migration testing and finds ways to simplify (automate) test design and testing. Based on the need for automation testing, the migration test is considered as a set of queries where every element include one self-validating test (query) and at least one auxiliary query that returns invalid entries. With this approach, one can instantly view the status of migratory data when one runs the tests, and no need to write new SQL statements to get a detailed view of the incorrect data (records). Thus, the analysis of errors becomes more efficient as the need for new additional queries is reduced.The prerequisite for automation of test preparation is the division of tests into test types based on similarity of tests. In this work, 16 test types were defined, and a template for the test query and auxiliary query templates (pattern queries) were prepared for each type of test and the need for test metadata was explained. The descriptions of the types of tests in the Appendix are an example of migration testing. A test generator can also be developed based on test descriptions.

Published
2019

5. Minerva: Metadata for data discoverability and study replicability in observational studies

Author

Gutierrez, Lia, Gini, Rosa, Pajouheshnia, Romin, Hyde, Eleanor, Swertz, Morris A., Sturkenboom, Miriam, Margulis, Andrea, Franzoni, Carla, Arana, Alejandro, Ehrenstein, Vera, Gembert, Karin, Jansen, Ella, Herings, Ron, Thurin, Nicolas H., Locatelli, Igor, Jazbar, Janja, Zerovnik, Spela, Kos, Mitja, Smit, Steven, Lind, Sirje, Metspalu, Andres, Zaccagnino, Silvia, Busto, Maria Paula, Middelkoop, Bas, Barreiro-De Acosta, Manuel, Sanchez-Saez, Francisco, Rodriguez-Bernal, Clara, Gabriel Sanfélix-Gimeno, Poblador-Plou, Beatriz, Carmona-Pirez, Jonas, Gimeno-Miguel, Antonio, Gil, Miguel, Schaefer, Wiebke, Haug, Ulrike, Simou, Stefania, Quinten, Chantal, Cochino, Ana, Alcini, Paolo, Kurz, Xavier, and Perez-Gutthann, Susana

6. Metadata for Data dIscoverability aNd Study rEplicability in obseRVAtional Studies (MINERVA): Lessons Learnt From the MINERVA Project in Europe.

Author

Gini R, Pajouheshnia R, Gutierrez L, Swertz MA, Hyde E, Sturkenboom M, Arana A, Franzoni C, Ehrenstein V, Roberto G, Gil M, Maciá MA, Schäfer W, Haug U, Thurin NH, Lassalle R, Droz-Perroteau C, Zaccagnino S, Busto MP, Middelkoop B, Gembert K, Sanchez-Saez F, Rodriguez-Bernal C, Sanfélix-Gimeno G, Hurtado I, Acosta MB, Poblador-Plou B, Carmona-Pírez J, Gimeno-Miguel A, Prados-Torres A, Schultze A, Jansen E, Herings R, Kuiper J, Locatelli I, Jazbar J, Žerovnik Š, Kos M, Smit S, Lind S, Metspalu A, Simou S, Hedenmalm K, Cochino A, Alcini P, Kurz X, and Perez-Gutthann S

Subjects
Europe, Humans, Reproducibility of Results, Data Mining methods, Pharmacoepidemiology methods, Databases, Factual, Observational Studies as Topic methods, Metadata
Published
2024
Full Text
View/download PDF

7. Metadata for Data dIscoverability aNd Study rEplicability in obseRVAtional Studies (MINERVA): Development and Pilot of a Metadata List and Catalogue in Europe.

Author

Pajouheshnia R, Gini R, Gutierrez L, Swertz MA, Hyde E, Sturkenboom M, Arana A, Franzoni C, Ehrenstein V, Roberto G, Gil M, Maciá MA, Schäfer W, Haug U, Thurin NH, Lassalle R, Droz-Perroteau C, Zaccagnino S, Busto MP, Middelkoop B, Gembert K, Sanchez-Saez F, Rodriguez-Bernal C, Sanfélix-Gimeno G, Hurtado I, Acosta MB, Poblador-Plou B, Carmona-Pírez J, Gimeno-Miguel A, Prados-Torres A, Schultze A, Jansen E, Herings R, Kuiper J, Locatelli I, Jazbar J, Žerovnik Š, Kos M, Smit S, Lind S, Metspalu A, Simou S, Hedenmalm K, Cochino A, Alcini P, Kurz X, and Perez-Gutthann S

Subjects
Europe, Humans, Pilot Projects, Reproducibility of Results, Data Collection methods, Data Collection standards, Databases, Factual statistics & numerical data, Software, Pharmacoepidemiology methods, Metadata, Observational Studies as Topic methods
Abstract

Purpose: Metadata for data dIscoverability aNd study rEplicability in obseRVAtional studies (MINERVA), a European Medicines Agency-funded project (EUPAS39322), defined a set of metadata to describe real-world data sources (RWDSs) and piloted metadata collection in a prototype catalogue to assist investigators from data source discoverability through study conduct., Methods: A list of metadata was created from a review of existing metadata catalogues and recommendations, structured interviews, a stakeholder survey, and a technical workshop. The prototype was designed to comply with the FAIR principles (findable, accessible, interoperable, reusable), using MOLGENIS software. Metadata collection was piloted by 15 data access partners (DAPs) from across Europe., Results: A total of 442 metadata variables were defined in six domains: institutions (organizations connected to a data source); data banks (data collections sustained by an organization); data sources (collections of linkable data banks covering a common underlying population); studies; networks (of institutions); and common data models (CDMs). A total of 26 institutions were recorded in the prototype. Each DAP populated the metadata of one data source and its selected data banks. The number of data banks varied by data source; the most common data banks were hospital administrative records and pharmacy dispensation records (10 data sources each). Quantitative metadata were successfully extracted from three data sources conforming to different CDMs and entered into the prototype., Conclusions: A metadata list was finalized, a prototype was successfully populated, and a good practice guide was developed. Setting up and maintaining a metadata catalogue on RWDSs will require substantial effort to support discoverability of data sources and reproducibility of studies in Europe., (© 2024 The Author(s). Pharmacoepidemiology and Drug Safety published by John Wiley & Sons Ltd.)

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results