Society for Clinical Data Management (SCDM)’s Post

Data scientists: How to write good Clinical Study Protocols and Statistical Analysis Plans (SAPs): Define every analysis term (e.g., variable, outcome, endpoint, time period/point) only once. Use that *exact same term* throughout the document. Don't use any synonyms. You will better set yourself up for success by eliminating unnecessary researcher degrees of freedom during analysis—and your statistician will thank you. 😊 https://lnkd.in/gub8QEPd

A group of data librarians, including myself, has just published an open letter (https://lnkd.in/g9MeUGRE) to the NIH about the 2023 Data Management and Sharing Policy in Science. In it, we call for: ◾ Increased transparency about awarded DMS Plans ◾ Increased training and resources ◾ Increased support for repositories In addition to the version published in Science, we have made a longer version of the open letter available on OSF (https://osf.io/m9r6t/). We are asking our colleagues to add their signatures to this open letter, which you can do here (https://lnkd.in/gESjkVJT). Please read through the open letter and, if you wish, fill out the survey to add your signature.

The recording from the recent webinar by Lisa Pilgram on "The Utility Costs of Anonymization" is now available, along with the slide deck. The webinar is based on an article that will appear soon in JMIR. Some of the interesting conclusions from this presentation (and paper) is that some commonly used generic utility and information loss metrics used in anonymization work are not predictive of how useful the anonymized datasets are, and that considering how the data will be eventually analyzed during anonymization can have a nontrivial impact on the value of the anonymized data.

Great to see our important paper online about the OHDSI Standardized Vocabularies, a requirement for scalalable evidence generation on real world data. https://lnkd.in/evjDg38M

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📚 Exciting News: Our chapter, "A Modern Approach of Swarm Intelligence Analysis in Big Data: Methods, Tools, and Applications" is now published in the book "Dynamics of Swarm Intelligence Health Analysis for the Next Generation" by IGI Global! 🔍 We explore the fascinating world of swarm intelligence and its applications in analyzing big data, presenting innovative methods and tools to extract meaningful insights from vast datasets. 🙌 Grateful to my co-authors and the editors at IGI Global for their collaboration and support throughout this journey. 📖 If you're interested in the intersection of swarm intelligence and big data analysis, check out our chapter in the book "Dynamics of Swarm Intelligence Health Analysis for the Next Generation" on the IGI Global website. https://lnkd.in/dtPaqUCS ✨ Proud of our contribution and excited for future collaborations in this field! #Publication #SwarmIntelligence #BigData #DataAnalysis #Research

R's Arsenal: Pioneering Statistical Approaches for Clinical Data Website:- https://lnkd.in/gRrWwaij Unravel the power of R's advanced statistical methods specifically tailored for clinical trials. From data extraction to interpretation, R's capabilities can significantly enhance the accuracy and efficiency of your research outcomes. #ClinicaltrialdatawithR #Rprogrammingforclinicalresearch #ClinicaltrialRtutorial #Rstatisticalmethodsforclinicaltrials

𝗖𝗔𝗟𝗟 𝗙𝗢𝗥 𝗣𝗔𝗣𝗘𝗥𝗦 We are thrilled to extend an invitation to the 𝟭𝟮𝘁𝗵 𝗲𝗱𝗶𝘁𝗶𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗡𝗲𝘄 𝗙𝗿𝗼𝗻𝘁𝗶𝗲𝗿𝘀 𝗶𝗻 𝗠𝗶𝗻𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 (𝗡𝗙𝗠𝗖𝗣) 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽, which will be held on September 13th, 2024, alongside the 𝐸𝑢𝑟𝑜𝑝𝑒𝑎𝑛 𝐶𝑜𝑛𝑓𝑒𝑟𝑒𝑛𝑐𝑒 𝑜𝑛 𝑀𝑎𝑐ℎ𝑖𝑛𝑒 𝐿𝑒𝑎𝑟𝑛𝑖𝑛𝑔 𝑎𝑛𝑑 𝑃𝑟𝑖𝑛𝑐𝑖𝑝𝑙𝑒𝑠 𝑎𝑛𝑑 𝑃𝑟𝑎𝑐𝑡𝑖𝑐𝑒 𝑜𝑓 𝐾𝑛𝑜𝑤𝑙𝑒𝑑𝑔𝑒 𝐷𝑖𝑠𝑐𝑜𝑣𝑒𝑟𝑦 𝑖𝑛 𝐷𝑎𝑡𝑎𝑏𝑎𝑠𝑒𝑠. This workshop provides a platform for professionals and researchers in data mining and machine learning to explore the challenges and innovations in analyzing complex data. We welcome innovative submissions highlighting recent advancements in analyzing complex and large-scale data sources, including medical data, social networks, sensor data, blogs, and other massive data sets. We are also interested in submissions that propose new algorithmic foundations and representation techniques for complex pattern discovery and preliminary studies or recently accepted papers that show promise in this area. 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗧 𝗗𝗔𝗧𝗘𝗦 Paper submission: June 15, 2024 Notification of acceptance: July 01, 2024 Camera-ready papers: July 15, 2024 Workshop date: September 13, 2024 𝐅𝐨𝐫 𝐦𝐨𝐫𝐞 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐨𝐧 𝐭𝐡𝐞 𝐬𝐮𝐛𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐠𝐮𝐢𝐝𝐞𝐥𝐢𝐧𝐞𝐬 𝐚𝐧𝐝 𝐭𝐨𝐩𝐢𝐜𝐬 𝐨𝐟 𝐢𝐧𝐭𝐞𝐫𝐞𝐬𝐭, 𝐩𝐥𝐞𝐚𝐬𝐞 𝐯𝐢𝐬𝐢𝐭 𝐭𝐡𝐞 𝐰𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐰𝐞𝐛𝐬𝐢𝐭𝐞 𝐚𝐭 https://lnkd.in/d4P4-j6B. To submit your paper for NFMCP, please use the CMT system at https://lnkd.in/dcDJq3PV. For all other conference-related information, including venue details and logistics, visit the official website at https://2024.ecmlpkdd.org. Should you have any questions, please reach out to the organizing committee at nfmcp@icar.cnr.it. #complexdata #datamining #machinelearning #datascience #ecmlpkdd

Understanding the intricacies of Data Management in Clinical Research is pivotal for any researcher. Here's a breakdown of the critical components that ensure reliable and meaningful results in our studies. Share with your colleagues to spread awareness! #ClinicalResearch #ProfessionalInsights

In the next edition of my newsletter 'Advanced Stats and Data Science', estimands will be discussed. Their importance in clinical research, biological and statistical inference accuracy and very important, interpretation of results in relation to estimands will be some of the topics. Further i will be discussing specific estimand attributes, both biological and statistical perspectives. #biostatistics #clinicalresearch #datascience #methodology #statisticalanalysis #clinicaltrials #dataanalysis