BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260808T205208Z UID:a4f05e5a-ad7c-4595-90e6-d65f9b338ce0 DTSTART:20240305T080000Z DTEND:20240306T160000Z DESCRIPTION:Educators: \n\nJustine Vandendorpe (ZB MED - Information Centre for Life Sciences)\nJulia Fürst (ZB MED - Information Centre for Life Sc iences)\nTill Sauerwein (ZB MED - Information Centre for Life Sciences)\nR abea Müller (ZB MED - Information Centre for Life Sciences)\nDate: \nMarc h 5\, 2024 - March 6\, 2024\n\nLocation: \nOnline (Zoom Webinar) -->\; R egistration: https://www.cecam.org/workshop-details/1349 \n\nContents:\nB ioNT - BIO Network for Training - is an international consortium of academ ic entities and small and medium-sized enterprises (SMEs). BioNT is dedica ted to providing a comprehensive training program and fostering a communit y for digital skills relevant to the biotechnology industry and biomedical sector. With a curriculum tailored for both beginners and advanced profes sionals\, BioNT aims to equip individuals with the necessary expertise in handling\, processing\, and visualising biological data\, as well as utili sing computational biology tools. Leveraging the consortium's strong backg round in digital literacy training and extensive network of collaborations \, BioNT is poised to professionalise life sciences data management\, proc essing\, and analysis skills. [Information about deNBI]\n\nThis hands-on w orkshop will introduce you to data management processes and activities in academia and industry. You will learn how to make your data reusable\, you r analyses reproducible and your processes transparent. Good data manageme nt prevents data loss and saves time\, money and resources. For researcher s\, it also increases visibility and reputation (by ensuring the quality o f research)\, ensures data ownership (i.e. possession and responsibility f or data)\, and makes them eligible for funding. Good data management also helps to meet formal and legal requirements\, improves teamwork and collab oration\, and ensures transparency\, verifiability and reproducibility.\n\ nHere we offer a two-day workshop with the primary aim of introducing part icipants to good enough practices for managing their data. On the first da y\, participants will learn about the basics of data management\, good res earch practices\, Common European Data Spaces\, data management and govern ance in industry and data management plans. On the second day\, participan ts will learn how to organise their data\, how to make it FAIR\, about ele ctronic lab notebooks and how to make their computational results reproduc ible (e.g. using tools and techniques suggested by Piccolo and Frampton 20 16 [1]).\n\nThis workshop is based on the FAIRsFAIR Adoption Handbook [2] and online training materials from ZB MED [3]\, The Carpentries [4] and Co de Refinery [5]. FAIRsFAIR - Fostering Fair Data Practices in Europe aims to provide practical solutions for using the FAIR (Findable\, Accessible\, Interoperable and Reusable) Data Principles [6]. ZB MED - Information Cen tre for Life Sciences is an infrastructure and research centre for informa tion and data in the life sciences. ZB MED aims to ensure the national pro vision of information and literature in the life sciences for practical ap plications\, teaching and research. The Carpentries is a non-profit organi sation that teaches software engineering and data science skills to resear chers to enable them to conduct efficient\, open and reproducible research . All their teaching materials are freely reusable under the Creative Comm ons - Attribution licence [7]. CodeRefinery provides training and infrastr ucture for researchers to make their research more reproducible and transp arent\, furthering the goals of open science and FAIR data management.\n\n [1] Piccolo\, S. R.\, &\; Frampton\, M. B. (2016). Tools and techniques for computational reproducibility. In GigaScience (Vol. 5\, Issue 1). Oxf ord University Press (OUP)\, https://doi.org/10.1186/s13742-016-0135-4\n\n [2] Engelhardt\, C.\, Biernacka\, K.\, Coffey\, A.\, Cornet\, R.\, Danciu\ , A.\, Demchenko\, Y.\, Downes\, S.\, Erdmann\, C.\, Garbuglia\, F.\, Germ er\, K.\, Helbig\, K.\, Hellström\, M.\, Hettne\, K.\, Hibbert\, D.\, Jet ten\, M.\, Karimova\, Y.\, Kryger Hansen\, K.\, Kuusniemi\, M. E.\, Letizi a\, V.\, … Zhou\, B. (2022). D7.4 How to be FAIR with your data. A teach ing and training handbook for higher education institutions (V1.2.1). Zeno do\, https://doi.org/10.5281/ZENODO.6674301\n\n[3] Vandendorpe J\, Lindst ädt B\, Shutsko A\, Markus K. Online Training Workshop on Research Data M anagement in (Bio-)Medicine. ZB MED – Information Centre for Life Scienc es\; 2023\, https://repository.publisso.de/resource/frl:6452660\n\n[4] Li brary Carpentry “FAIR Data and Software”\, retrieved 2023-12-22\, http s://librarycarpentry.org/lc-fair-research/index.html\n\n[5] CodeRefinery “Reproducible research - Preparing code to be usable by you and others i n the future”\, retrieved 2023-12-22\, https://coderefinery.github.io/re producible-research/\n\n[6] Wilkinson MD\, Dumontier M\, Aalbersberg IjJ\, Appleton G\, Axton M\, Baak A\, et al. The FAIR Guiding Principles for sc ientific data management and stewardship [Internet]. Vol. 3\, Scientific D ata. Springer Science and Business Media LLC\; 2016\, http://dx.doi.org/10 .1038/sdata.2016.18\n\n[7] Software Carpentry “About us”\, retrieved 2 5.08.2023\, https://software-carpentry.org/about/\n\nLearning goals:\n\nBy the end of this workshop\, you will be able to:\n\nKnow the importance of research data management in both academia and industry.\nKnow good resear ch practices.\nKnow Common European Data Spaces concept and initiative.\nB e aware of European policies and regulations.\nBe aware of the enterprise data management processes and activities.\nBe aware of the enterprise data governance policies and procedures.\nKnow the key organisational roles in data management and governance.\nDefine Data Management Plans (DMPs).\nAr ticulate the purpose and benefits of DMPs for a project or organisation.\n Be able to create a DMP.\nDefine\, articulate the uses and benefits of ele ctronic lab notebooks (ELNs).\nArticulate the role of ELNs in data securit y and privacy. \nBe able to organise your files and folders appropriately. \nKnow the FAIR data principles.\nKnow tools and techniques to make data a nalysis reproducible.\nPrerequisites: \nNone\n\nKeywords: \nData managemen t\, reproducible science\, FAIR (Findable\, Accessible\, Interoperable and Reusable) Data Principles \n\nTools:\nTo follow the workshop more efficie ntly\, we recommend having a two-screen setup\nTo actively communicate dur ing the workshop\, please familiarise yourself with Markdown formatting by reviewing the HedgeDoc features document SUMMARY:Awareness in Data Management and Analysis for Industry and Research URL;VALUE=URI:https://www.denbi.de/training-courses-2024/1699-awareness-in- data-management-and-analysis-for-industry-and-research END:VEVENT END:VCALENDAR