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DESCRIPTION:Approaches and practices for efficient data management
X-WR-CALDESC:Approaches and practices for efficient data management
NAME:Data Governance and semantics
X-WR-CALNAME:Data Governance and semantics
REFRESH-INTERVAL;VALUE=DURATION:PT12H
SUMMARY:Data Governance and semantics
TIMEZONE-ID:Asia/Kolkata
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X-WR-TIMEZONE:Asia/Kolkata
BEGIN:VEVENT
SUMMARY:Decentralised Semantics
DTSTART:20220705T103000Z
DTEND:20220705T113000Z
DTSTAMP:20260406T144458Z
UID:session/CaBcqsu91gXCpimsLz2MQw@hasgeek.com
SEQUENCE:6
CREATED:20220609T093015Z
DESCRIPTION:This presentation focuses on decentralised semantics and how t
 he segregation of task-oriented objects within a standard layered architec
 ture can provide a long-term solution for unifying a data language within 
 (and between) distributed data ecosystems. From that lens\, decentralised 
 semantics is ontology-agnostic\, offering a harmonisation solution between
  data models and data representation formats while providing a roadmap to 
 resolve privacy-compliant data sharing between servers\, networks\, and ac
 ross sectoral or jurisdictional boundaries.\n\nWhat is “Decentralised se
 mantics”?\nData semantics is the study of the meaning and use of data in
  any digital environment. In data semantics\, the focus is on how a data o
 bject represents a concept or object in the real world. That definition al
 so underpins the concept of decentralised semantics\, the only difference 
 being that the decentralised version is specific to distributed data ecosy
 stems.\n\nDecentralised semantics describes a data modelling methodology o
 f layering and cryptographically binding task-specific objects (overlays) 
 to a standard capture base\, which\, when combined\, defines a complex dig
 ital object. The segregation of task-specific overlays enables dynamic sem
 antic interoperability in the construction process of any digital object w
 ithout compromising the objectual integrity of the semantic structure\, it
 s modular components\, or the relationship between those objects.\n\nDecen
 tralised semantics provides a powerful solution for semantic interoperabil
 ity\, data harmonisation\, internationalisation\, and dynamic presentation
 .
LAST-MODIFIED:20230108T103046Z
LOCATION:Online
ORGANIZER;CN="Privacy Mode":MAILTO:no-reply@hasgeek.com
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ACTION:display
DESCRIPTION:Decentralised Semantics in 5 minutes
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BEGIN:VEVENT
SUMMARY:Decentralised Authentication
DTSTART:20220712T103000Z
DTEND:20220712T113000Z
DTSTAMP:20260406T144458Z
UID:session/Ttjnanz7XcPduUhzmJCLde@hasgeek.com
SEQUENCE:6
CREATED:20220609T093157Z
DESCRIPTION:This presentation focuses on decentralised authentication and 
 how a decentralised key management infrastructure\, providing self-certify
 ing identifier (SCID) issuance underpinned by one-way cryptographic functi
 ons\, can offer information uniqueness from captured entropy. Furthermore\
 , a decentralised authentication system must be ledger-agnostic\, with its
  identifiers being interoperable across ecosystems\, platforms\, and netwo
 rks.\n\nWhat is “Decentralised authentication”?\n\nData provenance ref
 ers to the tracing and recording of the origin of data and its movement be
 tween locations. If digital data is tamper-proof (i.e. provable to have no
 t been corrupted after its creation)\, it can be assumed to be authentic. 
 Data authentication focuses on timestamping data inputs at index time\, de
 termining each event as factual. That definition also underpins the concep
 t of decentralised authentication\, the only difference being that the dec
 entralised version is specific to distributed data ecosystems.\n\nDecentra
 lised authentication describes a key management methodology of cryptograph
 ically binding SCIDs to an associated log that compiles the history of all
  uses or changes to the public/private key pair\, ensuring verifiable iden
 tifier provenance throughout any ambient infrastructure. Immutable orderin
 g guarantees the factual authenticity of the recorded event underpinning a
 ny systematic data input. Furthermore\, all system identifiers must remain
  network-agnostic\, enabling identifier interoperability within and across
  any distributed data ecosystem.\n\nDecentralised authentication provides 
 a powerful solution for identifier interoperability\, data provenance\, da
 ta-intensive event streaming\, and event sourcing applications.
LAST-MODIFIED:20230108T103046Z
LOCATION:Online
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ACTION:display
DESCRIPTION:Decentralised Authentication in 5 minutes
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BEGIN:VEVENT
SUMMARY:Distributed Data Governance
DTSTART:20220719T103000Z
DTEND:20220719T113000Z
DTSTAMP:20260406T144458Z
UID:session/N6aMXuhrq2BHJeVu99LGf2@hasgeek.com
SEQUENCE:6
CREATED:20220609T093543Z
DESCRIPTION:This presentation focuses on distributed governance and how a 
 multi-stakeholder Data Governance Administration (DGA) provides the legal 
 provision to assume responsibility for the consensual veracity of data tra
 nsactions under its administrative control on behalf of the citizens and l
 egal entities it serves. The role of a DGA aligns closely with that of a 
 “data intermediary” as described in the European Parliament’s recent
 ly proposed Data Governance Act\, serving as a mediator between those who 
 wish to make their data available and those who seek to leverage that data
 .\n\nWhat is “Distributed data governance”?\nData governance is a syst
 em of decision rights and accountabilities for information-related process
 es\, executed according to agreed-upon models\, which describe who can tak
 e what actions with what information and when\, under what circumstances\,
  and using what methods. That definition also underpins the concept of dis
 tributed data governance\, the only difference being that the distributed 
 version is specific to distributed data ecosystems.\nDistributed data gove
 rnance describes an operational framework for the provision of rules\, com
 mon standards and practices\, infrastructures and a distributed governance
  framework to empower individuals through increased digital access to (and
  control of) their electronic personal data\, nationally and cross-borders
 \, fostering a genuine single market for electronic record systems\, relev
 ant components and high-risk artificial intelligence (AI) systems. Multi-s
 takeholder participation within Data Governance Administrations guarantees
  the consensual veracity of purpose-driven data agreements while providing
  a consistent\, trustworthy and efficient set-up for personal data use for
  research\, innovation\, policy-making and regulatory activities.\nDistrib
 uted data governance provides a powerful solution for multi-stakeholder co
 llaboration of rules and regulations for safe and secure data sharing with
 in and across distributed data ecosystems.
LAST-MODIFIED:20230108T103046Z
LOCATION:Online
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ACTION:display
DESCRIPTION:Distributed Data Governance in 5 minutes
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BEGIN:VEVENT
SUMMARY:Research Identifier Ecosystem - a DID is a PID with benefits.
DTSTART:20220908T120000Z
DTEND:20220908T133000Z
DTSTAMP:20260406T144458Z
UID:session/MCncokg2q8ib6skWFweSk8@hasgeek.com
SEQUENCE:9
CATEGORIES:Talk
CREATED:20220820T102843Z
DESCRIPTION:Researchers need to unambiguously identify things in a global 
 context. Example systems of classification include the formal names of org
 anisms\, the naming of stars and other celestial objects\, and bibliograph
 ic information to identify source materials. With the digitization of soci
 ety\, scientific research has moved forward with the adoption of numerous 
 types of digital Persistent Identifiers (PIDs). Current PIDs such as DOIs\
 , ORCIDs\, RORs\, and RAIDs are useful but underutilized.\n\nWith the crea
 tion of the Decentralized Identifier (DID) standard by the W3C there are o
 pportunities to expand PIDs in the research landscape. This new type of ve
 rifiable identifier does not require a centralized registry and offers the
  opportunity to create a flexible system where it is easy to add functiona
 lities\, enabling creativity with full provenance and ultimately improving
  the reproducibility of scientific research.\n\n### About the speaker\nCar
 ly Huitema works at the University of Guelph developing Agri-food Data Can
 ada - a decentralized data ecosystem for improving the FAIRness (Findable\
 , Accessible\, Interoperable\, Reusable) of agri-food research data. She h
 as an undergraduate degree in microbiology at the University of Guelph and
  a Ph.D. in microbiology from the University of British Columbia. Followin
 g this\, she trained in Switzerland for six years at an allergy research i
 nstitute and a start-up in the medical diagnostic device field. \n\n### Li
 nk to slides https://figshare.com/articles/presentation/Research_Identifie
 r_Ecosystem_-_a_DID_is_a_PID_with_Benefits/20445522\n
LAST-MODIFIED:20230810T072606Z
LOCATION:Online
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URL:https://hasgeek.com/PrivacyMode/data-gov-and-sem/schedule/research-ide
 ntifier-ecosystem-a-did-is-a-pid-with-benefits-MCncokg2q8ib6skWFweSk8
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DESCRIPTION:Research Identifier Ecosystem - a DID is a PID with benefits. 
 in 5 minutes
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