BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260405T123920Z
UID:09566382-647b-4dd5-8bab-48a2f82ee127
DTSTART:20240618T090000Z
DTEND:20240619T123000Z
DESCRIPTION:This course is an entry-level introduction to the fundamentals 
 of scientific metadata for PhD students\, early-career researchers\, and p
 ostdocs. In this course we will look at the intricate relationship between
  (digital) research data\, metadata\, and knowledge\; discuss why metadata
  is critical in today’s research\; and explain some of the technologies 
 and concepts related to structured machine-readable metadata.\n\nHave you 
 ever struggled to make sense of scientific data provided by a collaborator
 ? Or\, even worse\, to understand your own data five months after publicat
 ion... Do you have difficulties in meeting the data description requiremen
 ts of your funding agency? Do you want your data to have lasting value\; b
 ut don’t know how to ensure that?\n\nPrecise and structured descriptions
  of research data are key for scientific exchange and progress - and for e
 nsuring recognition of your effort in data collection. The solution: make 
 your data findable\, accessible\, interoperable\, and reusable - by descri
 bing them with metadata.\n\nThis course is targeted especially at scientif
 ic staff and researchers in the Helmholtz Research Field Matter but is ope
 n to anyone who would like to better understand research data annotation w
 ith metadata.\n\n*What You Will Learn*:\n\n* Understanding the vital diffe
 rences between data and metadata.\n* Techniques for annotating research da
 ta using structured metadata.\n* Identifying and implementing appropriate 
 metadata frameworks and data repositories.\n* Developing basic skills in M
 arkdown\, JSON\, XML.\n* Exploring tools to improve your metadata annotati
 on capabilities.\n* Recognizing the role of structured metadata in enhanci
 ng your scientific visibility.\n\nIn this course\, we will specifically fo
 cus on matter-related datasets\, formats\, and metadata schemas. However\,
  it is open to anyone interested in learning about structured metadata and
  its importance in scientific research.
SUMMARY:Fundamentals of Scientific Metadata: Why Context Matters
URL;VALUE=URI:https://events.hifis.net/event/1520/
END:VEVENT
END:VCALENDAR