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DTSTAMP:20260831T174643Z
UID:a48c7651-1550-4e8e-a6c3-d3dae3822469
DTSTART:20250306T080000Z
DTEND:20250307T160000Z
DESCRIPTION:Educators: \nJustine Vandendorpe\, Birte Lindstädt\, Katja Di
 ederichs\, Roman Riedel\, Till Sauerwein\, Silvia Di Giorgio (ZB MED - ass
 ociated Partner)\n\nDate: \n06-07.03.2025\n\nLocation: \nOnline\n\nConte
 nts:\nThis hands-on workshop will introduce you to data management process
 es and activities in academia and industry. You will learn how to make you
 r data reusable\, your analyses reproducible and your processes transparen
 t. Good data management prevents data loss and saves time\, money and reso
 urces. For researchers\, it also increases visibility and reputation (by e
 nsuring the quality of research)\, ensures data ownership (i.e. possession
  and responsibility for data)\, and makes them eligible for funding. Good 
 data management also helps to meet formal and legal requirements\, improve
 s teamwork and collaboration\, and ensures transparency\, verifiability an
 d reproducibility.\nHere we offer a two-day workshop with the primary aim 
 of introducing participants to good enough practices for managing their da
 ta. On the first day\, participants will learn about the basics of data ma
 nagement\, good research practices\, Common European Data Spaces\, data m
 anagement and governance in industry and data management plans. On the sec
 ond day\, participants will learn how to organise their data\, how to make
  it FAIR\, about electronic lab notebooks and how to make their computatio
 nal results reproducible (e.g. using tools and techniques suggested by Pic
 colo and Frampton 2016).\nThis workshop is based on the FAIRsFAIR Adoption
  Handbook and online training materials from ZB MED\, The Carpentries and 
 Code Refinery. FAIRsFAIR - Fostering Fair Data Practices in Europe aims 
 to provide practical solutions for using the FAIR (Findable\, Accessible\,
  Interoperable and Reusable) Data Principles. ZB MED - Information Centre
  for Life Sciences is an infrastructure and research centre for informati
 on and data in the life sciences. ZB MED aims to ensure the national provi
 sion of information and literature in the life sciences for practical appl
 ications\, 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. CodeRefinery provides training and infrastruc
 ture for researchers to make their research more reproducible and transpar
 ent\, furthering the goals of open science and FAIR data management.\n\nLe
 arning goals:\nBy the end of this workshop\, you will be able to:\n\n- Kno
 w the importance of research data management in both academia and industry
 .\n- Know good research practices.\n- Know Common European Data Spaces con
 cept and initiative.\n- Be aware of European policies and regulations.\n- 
 Be aware of the enterprise data management processes and activities.\n- Be
  aware of the enterprise data governance policies and procedures.\n- Know 
 the key organisational roles in data management and governance.\n- Define 
 Data Management Plans (DMPs).\n- Articulate the purpose and benefits of DM
 Ps for a project or organisation.\n- Be able to create a DMP.\n- Define\, 
 articulate the uses and benefits of electronic lab notebooks (ELNs).\n- Ar
 ticulate the role of ELNs in data security and privacy. \n- Be able to or
 ganise your files and folders appropriately.\n- Know the FAIR data princip
 les.\n- Know tools and techniques to make data analysis reproducible.\n\nP
 rerequisites:\n- To follow the workshop more efficiently\, we recommend ha
 ving a two-screen setup\n- To actively communicate during the workshop\,
  please familiarise yourself with Markdown formatting by reviewing the He
 dgeDoc features document\n\nKeywords:\nRDM\, Research Data Management\, D
 MP\, ELN\n\nTools:\nDSW\, RDMO
SUMMARY:Awareness in Data Management and Analysis for Industry and Research
URL;VALUE=URI:https://www.denbi.de/training-courses-2025/1848-awareness-in-
 data-management-and-analysis-for-industry-and-research
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