[
Arslan, R. C. (2019). How to Automatically Document Data with the Codebook Package to Facilitate Data Reuse. Advance in Methods and Practices in Psychological Science. 2(2), 169-187. DOI: 10.1177/2515245919838783.10.1177/2515245919838783
]Search in Google Scholar
[
Breil, B., Kenneweg, J., Fritz, F., Bruland, P., Doods, D., Trinczek, B., Dugas, M. (2012). Multilingual Medical Data Models in ODM Format: A Novel Form-based Approach to Semantic Interoperability between Routine Healthcare and Clinical Research. Applied Clinical Informatics. 3(3), 276-89. DOI: 10.4338/ACI-2012-03-RA-0011.10.4338/ACI-2012-03-RA-0011361302323620720
]Search in Google Scholar
[
Calbimonte, J. P., Dubosson, F., Hilfiker, R., Cotting, A., Schumacher, M. (2017). The MedRed Ontology for Representing Clinical Data Acquisition Metadata. Retrieved September 15, 2021. From https://iswc2017.ai.wu.ac.at/wp-content/uploads/papers/MainProceedings/205.pdf10.1007/978-3-319-68204-4_4
]Search in Google Scholar
[
Camacho, R. J., Stäubert, S., Löbe, M. (2016). Automated Import of Clinical Data from HL7 Messages into OpenClinica and tranSMART Using Mirth Connect. Studies Health Technology and Informatics. 228, 317-21.
]Search in Google Scholar
[
Cartlidge, H. (2012, July). Collecting data and designing experiments. Retrieved February 14, 2022. From https://www.theveterinarynurse.com/review/article/collecting-data-and-designing-experiments
]Search in Google Scholar
[
Cohn, D. M., Mabud, T. S., Arendt, V. A., Souffrant, A. D., Jeon, G. S., An, X., … Rubin, D. L. (2020). Toward Data-Driven Learning Healthcare Systems in Interventional Radiology: Implementation to Evaluate Venous Stent Patency. J Digit Imaging. 33(1), 25-36. DOI: 10.1007/s10278-019-00280-6.10.1007/s10278-019-00280-6706469831650318
]Search in Google Scholar
[
Djoko, S. S., Pardo T. A. (2013). Exploring the determinants of scientific data sharing: Understanding the motivation to publish research data. Government Information Quarterly. 30 (1), S19-S31. DOI: 10.1016/j. giq.2012.06.011.10.1016/j.giq.2012.06.011
]Search in Google Scholar
[
Grunzke, R., Hartmann, V., Jejkal, T., Kollai, H., Prabhune, A., Herold, H., ... Nagel, W. E. (2019). The MAS repository service - Comprehensive, metadata-driven and multi-community research data management. Future Generation Computer Systems, 94, 879–894. DOI: 10.1016/j. future.2017.12.023.10.1016/j.future.2017.12.023
]Search in Google Scholar
[
Hazlehurst, B. L., Kurtz, S.E., Masica, A., Stevens, V. J., McBurnie, M. A., Puro, J. E. … Sittig, D. F. (2015). CER Hub: An informatics platform for conducting comparative effectiveness research using multi-institutional, heterogeneous, electronic clinical data. International Journal of Medical Informatics. 84 (10), 763-773. DOI: 10.1016/j.ijmedinf.2015.06.002.10.1016/j.ijmedinf.2015.06.00226138036
]Search in Google Scholar
[
Holden, R. J., McDougald, A. M., Hoonakker, P. L. T., Carayon, P. (2014). Data collection challenges in community settings: Insights from two field studies of patients with chronic disease. Quality of Life Research. 24, 1043-1055.10.1007/s11136-014-0780-y434230825154464
]Search in Google Scholar
[
Kerby, E. (2015). Research Data Practices in Veterinary Medicine: A Case Study. Journal of eScience Librarianship. 4(1): e1073. DOI: 10.7191/jeslib.2015.1073.10.7191/jeslib.2015.1073
]Search in Google Scholar
[
Krishnankutty, B., Bellary, S., Kumar, N. B. R., Moodahadu, L.S. (2012). Data management in clinical research: An overview. Indian Journal of Pharmacology. 44 (2): 168-72. DOI: 10.4103/0253-7613.93842.10.4103/0253-7613.93842332690622529469
]Search in Google Scholar
[
Lavrakas, P. J. (2008). Encyclopedia of Survey Research Methods. Retrieved September 15, 2021. From https://methods.sagepub.com/reference/encyclopedia-of-survey-research-methods/n69.xml10.4135/9781412963947
]Search in Google Scholar
[
Lockery, J. E, Rigby, J., Collyer, T. A, Stewart, A. C, Woods, R. L., McNeil, J. J., … Ernst, M. E. (2019). Optimizing medication data collection in a large-scale clinical trial. PloS One. 14 (12), e0226868. DOI: 10.1371/journal.pone.0226868.10.1371/journal.pone.0226868693426931881040
]Search in Google Scholar
[
Londhe, V. Y., Bhasin B. (2019). Artificial intelligence and its potential in oncology. Drug Discov Today. 24 (1), 228-232. DOI: 10.1016/j. drudis.2018.10.005.10.1016/j.drudis.2018.10.005
]Search in Google Scholar
[
Ranganathan, P., & Aggarwal, R. (2018). Study designs: Part 1 - An overview and classification. Perspectives in clinical research. 9 (4), 184–186. DOI: 10.4103/picr.PICR_124_18.10.4103/picr.PICR_124_18
]Search in Google Scholar
[
Smith, P. G., Morrow, R. H., Ross, D. A, editors. (2015). Field Trials of Health Interventions: A Toolbox. 3rd edition. Oxford (UK): OUP Oxford. DOI: 10.1093/med/9780198732860.001.0001.10.1093/med/9780198732860.001.000126225404
]Search in Google Scholar
[
Staziaki, P. V., Kim, P., Vadvala, H. V., Ghoshhajra, B. B. (2016). Medical Registry Data Collection Efficiency: A Crossover Study Comparing Web-Based Electronic Data Capture and a Standard Spreadsheet. Journal of Medical Internet Research. 18(6):e141. DOI: 10.2196/jmir.5576.10.2196/jmir.5576491773327277523
]Search in Google Scholar
[
Walther, B., Hossin, S., Townend, J., Abernethy, N., Parker, D., Jeffries, D. (2011). Comparison of Electronic Data Capture (EDC) With the Standard Data Capture Method for Clinical Trial Data. PLoS One. 6 (9): e25348. DOI: 10.1371/journal. pone.0025348.10.1371/journal.pone.0025348
]Search in Google Scholar
[
Welker, J. A. (2007). Implementation of electronic data capture systems; barriers and solutions. Contemporary Clinical Trials. 28(3), 329-36. DOI: 10.1016/j.cct.2007.01.001.10.1016/j.cct.2007.01.00117287151
]Search in Google Scholar
[
What is Code-First? Entity Framework Tutorial. Retrieved May 4, 2022 from https://www.entityframeworktutorial.net/code-first/what-is-code-first.aspx.
]Search in Google Scholar
