Linked Data in Healthcare    and Life Sciences                                                            James G. Boram K...
SEMANTIC WEB HEALTH CARE AND LIFE SCIENCES (HCLS) INTEREST GROUPHOMEIntroductionThe mission of the Semantic Web Health Car...
SEMANTIC WEB HEALTH CARE AND LIFE SCIENCES (HCLS) INTEREST GROUP                                                       200...
SEMANTIC WEB HEALTH CARE AND LIFE SCIENCES (HCLS) INTEREST GROUPHOME  “The Semantic Web for Health Care and Life Sciences ...
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
Linked Data in Healthcare and Life Sciences
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Linked Data in Healthcare and Life Sciences

  1. 1. Linked Data in Healthcare and Life Sciences James G. Boram Kim foaf:mbox jgkim@jayg.org foaf:homepage http://jayg.org/ owl:sameAs http://jayg.me/ dcterms:modified 2013-03-05+09:00
  2. 2. SEMANTIC WEB HEALTH CARE AND LIFE SCIENCES (HCLS) INTEREST GROUPHOMEIntroductionThe mission of the Semantic Web Health Care and Life Sciences Interest Group (HCLS IG) is to develop, advocate for, andsupport the use of Semantic Web technologies across health care, life sciences, clinical research and translational medicine.These domains stand to gain tremendous benefit from intra- and inter-domain application of Semantic Web technologies asthey depend on the interoperability of information from many disciplines. Please see the accompanying Use Cases and LINKSRationale document. Interest Group links: Group CharterThe group will: Public Wiki page Continue to develop high level (e.g. TMO) and architectural (e.g. SWAN) vocabularies. Instructions on joining the IG Implement proof-of-concept demonstrations and industry-ready code. Participants: Document guidelines to accelerate the adoption of the technology. organizations Disseminate information about the groups work at government, industry, academic events and by participating in persons (member only link) community initiatives. Mailing list archivesParticipationCommunications of the HCLS IG are public. This includes public meeting records and access to the archives of the public-semweb-lifesci@w3.org mailing list. DOCUMENTS Emerging practices for mapping andThe HCLS IG welcomes active participation from representatives of W3C Member organizations. If you are part of a W3C linking life sciences data using RDF —Member organization, please verify or create your W3C web account, then ask your Advisory Committe representative A case series(member-only) to join the HCLS IG and nominate you to participate. More detailed instructions are available. Ontology of Rhetorical Blocks (ORB)
  3. 3. SEMANTIC WEB HEALTH CARE AND LIFE SCIENCES (HCLS) INTEREST GROUP 2005-2007 2008-2011 2011-2014HOME This charter is now expired; please see the next HCLS IG charter. Scope Motivations Scope Deliverables Semantic Web for Health Care and Life Sciences Interest Group (HCLSIG) Charter Motivations Dependencies Deliverables Dependencies Semantic Web Health Care and Life Sciences Interest Group Participation Communication Contents Semantic Web Health Care and Life Sciences Interest Group Participation Communication Charter Decision Policy Patent Disclosures 1. Mission Statement Charter Decision Policy The mission of the Semantic Web Health Care and Life Sciences Interest Group (HCLS IG) is to develop, advocate for, and support About this Charter 2. Scope Patent Disclosures the use of Semantic Web technologies across health care, life sciences, clinical research and translational medicine. These domains The mission of the Semantic Web Health Care and Life Sciences Interest Group, part of the Semantic Web Activity, is to develop, About this Charter stand to gain tremendous benefit from intra- and inter-domain application of Semantic Web technologies as they depend on the 3. Duration interoperability of information from many disciplines. Please see the accompanying Use Cases and Rationale document. advocate for, and support the use of Semantic Web technologies for health care and life science, with focus on biological science andIntroduction 4. Deliverables translational medicine. These domains stand to gain tremendous benefit by adoption of Semantic Web technologies, as they depend on the interoperability of information from many domains and processes for efficient decision support. The group will: 5. Relationship with Other Activities The group will: Continue to develop high level (e.g. TMO) and architectural (e.g. SWAN) vocabularies. 6. Interest Group Participation Implement proof-of-concept demonstrations and industry-ready code. Document use cases to aid individuals in understanding the business and technical benefits of using Semantic Web technologies. Document guidelines to accelerate the adoption of the technology. 7. Meetings Disseminate information about the groups work at government, industry, academic events and by participating in community initiatives. Document guidelines to accelerate the adoption of the technology.The mission of the Semantic Web Health Care and Life Sciences Interest Group (HCLS IG) is to develop, advocate for, and 8. Group Communications Implement a selection of the use cases as proof-of-concept demonstrations. Explore the possibility of developing high level vocabularies. Join the Semantic Web Health Care and Life Sciences Interest Group. 9. Patent Disclosures Disseminate information about the groups work at government, industry, and academic events. End date 31 Aug 2014 Join the Semantic Web Health Care and Life Sciences Interest Group.support the use of Semantic Web technologies across health care, life sciences, clinical research and translational medicine. Mission Statement Confidentiality Proceedings are Public End date 31 May 2011 Michel Dumontier (Carleton University) - life sciences The Semantic Web for Health Care and Life Sciences Interest Group (HCLSIG) is chartered to develop and support the use of Semantic Web Charles Mead (NCI CBIIT) - health care technologies to improve collaboration, research and development, and innovation adoption in the of Health Care and Life Science domains. Success in Confidentiality Proceedings are Public Chairs Vijay Bulusu (Pfizer) - pharmaceuticalsThese domains stand to gain tremendous benefit from intra- and inter-domain application of Semantic Web technologies as these domains depends on a foundation of semantically rich system, process and information interoperability. To these ends, the HCLSIG will focus on Chair assignments will be reviewed every 18 months. Initial Chairs Susie Stephens, Chimezi Ogbuji, M. Scott Marshall the development of use cases that illustrate the business value of Semantic Web technology adoption, core vocabularies, guidelines and best practices regarding unique identifiers, and provide a forum for supporting communication, education, collaboration and implementation. The HCLSIG will also Initial Team Contacts Initial Team Contacts LINKS Eric Prudhommeaux Eric Prudhommeaux work with the other Semantic Web related groups to gather suggestions for further HCLSIG development work. Further, the HCLSIG will provide a (FTE %: 60) (FTE %: 50)they depend on the interoperability of information from many disciplines. Please see the accompanying Use Cases and forum to support and encourage the use of Semantic Web technologies and foster the growth of interoperable, policy-aware data and databases in the Teleconferences: Weekly Teleconferences: Weekly Usual Meeting Schedule Life Sciences and Health Care industries. Usual Meeting Schedule Face-to-face: at most once per year Face-to-face: at least one per year This work falls within the Technology and Society Domain and is part of W3Cs Semantic Web Activity. 1. ScopeRationale document. 1. Scope Scope The HCLS IG will continue to provide a forum for supporting, developing and applying Semantic Web technologies across healthcare, life sciences, clinical Interest Group links: The HCLSIG will provide a forum for supporting, guiding and collecting application and implementation experience. It will develop and support Semantic Web The HCLSIG is focused on the use of Semantic Web technologies to better enable interoperability and improve collaboration, research and development, research and the continuum of translational medicine. Within these contexts, the HCLS IG will focus on the use of Semantic Web technologies to realize technologies in the three focus areas: life science, translational medicine, and health care. Within these areas, it will address use cases that have clear innovation adoption, and data reusability in the health Care and life science domains. Sample areas of work designed to facilitate this goal include: specific use cases which themselves have a specific clinical, research of business values. As use cases are developed, HCLS IG will solicit advice on technical scientific, business, and/or technical value. HCLSIG will solicit advice on technical matters from other Semantic Web related groups within W3C and give feedback on the use of technologies based on the work they do. The IG will extensively liason with external organizations that are central to the areas to which matters from other Semantic Web related groups within W3C and give feedback on the use of technologies based on the work they do. The IG will also focus Core vocabularies: In order to stimulate cross-community data integration, collaborative efforts are required to define core vocabularies that can on developing ongoing and mutually productive liaisons with relevant external organizations in healthcare, life sciences, and clinical research, including we wish to contribute. In some cases, work started in HCLSIG may be proposed to spin out into a separately chartered group. It is specifically in scope to: Group Charter bridge data and ontologies developed by individual communities of practice in HCLS. It is expected these vocabularies will be expressed in RDF Schema organizations that are actively working on relevant standards and/or implementations to which the HCLS’s work might contribute. In some cases, work started and / or OWL to maximize reuse among the community. Example vocabularies include but are not limited to:The group will: Discuss the relevance and maturity of tools. in HCLS IG may be proposed to spin out into a separately chartered group. It is specifically within the scope of the HCLS IG to: Create vocabulary guidelines. provenance and context: identifying data (e.g. gene banks, protein databases, disease knowledge bases such as SNOMED CT, drug information Build demonstrations and test suites. Create Linked Data and guidelines to help others create Linked Data. knowledge bases, templates for collecting clinical trial data, collections of rules bases comprising clinical decision support logic, etc.) sources, Create vocabularies and vocabulary bridges. Public Wiki page Create collateral within the scope of this interest group. authors, publications names, and collection conditions in HCLS. Build demonstrations and test suites. Assist other groups to create data and tools within the scope of this interest group. citation: vocabularies for supporting cross-references in publication and other reporting of experimental results in HCLS. 1.1 Success Criteria Advise industry on the relevance and maturity of tools. versioning: vocabularies for expressing change and relationships among changed resources (e.g. experimental data sets, clinical trials data sets, Increased consensus around vocabulary choice and use of terminology spanning patient records and clinical research. Instructions on joining the IG ontologies, etc.) in HCLS. 1.1 Success Criteria Continue to develop high level (e.g. TMO) and architectural (e.g. SWAN) vocabularies. Development of consensus around core taxonomies and methodologies for representing knowledge in Life Science, Translational Medicine and Health Care. cross-mapping: bridging and/or merging of ontologies that could have either overlapping or orthogonal concepts. Building on the successes of the last edition of the HCLS IG, the group will continue with a refinement of earlier criteria: Adoption of these taxonomies and methodologies by standards organizations that are focused on life science and health care leading to increased understanding and adoption of Semantic Web technologies. Guidelines and Best Practices for Resource Identification: The Interest Group will provide guideline on how best to identify HCLS resources for Participants: Presentation of these taxonomies and methodologies to government, academia and industry organizations that have a keen interest in the application of Development of consensus around core taxonomies and methodologies for representing knowledge in Life Science, Translational Medicine and Health Implement proof-of-concept demonstrations and industry-ready code. use in the Semantic Web. Implementation issues include: Care. information technology to these domains, and support of their efforts to adopt Semantic Web technologies. Increased consensus around vocabulary choice and use of terminology spanning patient records and clinical research. referential integrity Adoption of these taxonomies and methodologies by standards organizations that are focused on life science and health care leading to increased 2. Motivations understanding and adoption of Semantic Web technologies. organizations resource identification for existing and future Semantic Web resources Document guidelines to accelerate the adoption of the technology. Presentation of these taxonomies and methodologies to government, academia and industry organizations that have a keen interest in the application of version control 2.1 Biological Science information technology to these domains, and support of their efforts to adopt Semantic Web technologies. Dissemination of infrastructure and information enabling different groups to contribute usefully to the Semantic Web around health care and life sciences. presence / absence of semantics Development of policy and access control enabling proprietary Linked Data complementing the public Linked Data to be exchanged in limited An understanding of the fundamental underlying principles of biology forms the basis on which all biomedical research relies. Biological research investigates Disseminate information about the groups work at government, industry, academic events and by participating in persons (member only link) partnerships. Scientific and Scholarly Publication: The Interest Group will provide guidelines, suggested best practices, and use of descriptive vocabularies to phenomena at a range of scales: molecules, cells, cell populations, tissues, organs, organisms, populations, and ecosystems and employs an astounding Strategies for defining and reasoning at run-time at service interfaces, enabling "semantically-aware" workflows to sold business problems. better enable the integration and relationships among people, data, observations, software, collections of algorithms, and scholarly publications / clinical variety of experimental techniques, instruments and reagents. This research (e.g. gene expression, phenotypes, chemical screening, ...) generates data and trials. conclusions from which new hypotheses are drawn which subsequently propel new studies at an ever increasing rate. The resulting proliferation of isolated databases hampers efforts to combine results. 2. Motivations community initiatives. Duration The HCLSIG focus area will aid this enterprise and provide ways for researchers in the applied fields to make the best use of the richness of this rapidly The Semantic Web can help us realize the general goal of facilitating research and analytics in the focus areas of biological science and health care, and their accumulating knowledge. HCLSIG activities in the this area will include working with key data repositories towards their semantic integration by advocating for application to translational medicine. The HCLSIG will be chartered for 2 years, beginning in September 2005. and assisting labs, database creators and publishers who would make information accessible using Semantic Web technologies. The group will apply ontologies to the integration of heterogeneous data, show how common analysis tools can use data from and publish to the Semantic Web, and explore other Mailing list archives Deliverables ways that Semantic Web technologies might further facilitate this scientific work. 2.1 Biological Science The HCLSIG will provide a forum for supporting, guiding and collecting application and implementation experience, along with business and use cases An understanding of the fundamental underlying principles of biology forms the basis on which all biomedical research relies. Biological research investigates associated with using Semantic Web technologies to solve life science and health care problems. The discussion or tools, demonstrations, test suites, 2.2 Translational Medicine phenomena at a range of scales: molecules, cells, cell populations, tissues, organs, organisms, populations, and ecosystems and employs an astounding validation tools, and developer resources are all within scope of this interest group. More specifically: variety of experimental techniques, instruments and reagents. This research (e.g. gene expression, phenotypes, chemical screening, ...) generates data and Recent advances in biological understanding are allowing pharmaceutical companies to begin to develop tailored therapeutics, thereby allowing patients to conclusions from which new hypotheses are drawn which subsequently propel new studies at an ever increasing rate. The resulting proliferation of isolatedParticipation Vocabularies that enable broad application of core Semantic Web technologies in Health Care and Life Sciences, for example: context, provenance, receive the right drug, at the right dose, and at the right time. However, in order for such treatments to be developed, companies need to be able to better link databases hampers efforts to combine results. data from the laboratory to the clinic (bench to bedside). This concept is frequently referred to as translational medicine. cross-reference, experimental reporting, versioning, and publication. Guidance for how best to express existing ontologies used by this domain in terms of Semantic Web technologies are also in scope. The HCLS IG focus area will aid this enterprise and provide ways for researchers in the applied fields to make the best use of the richness of this rapidly This HCLSIG activity will provide resources that demonstrate the value of Semantic Web technologies to translational medicine. Activities in this area will focus accumulating knowledge. HCLS IG activities in the this area will include working with key data repositories towards their semantic integration by advocating for Implementations of vocabularies and recommendations for demonstration and use in Health Care and Life Sciences applications such as electronic on connecting pre-clinical and clinical trial data with clinical decision support knowledge in order to assess drug efficacy and safety. Examples of potential and assisting labs, database creators and publishers who would make information accessible using Semantic Web technologies. The group will apply health record, clinical decision support, drug discovery, clinical trials and translation medicine. activities include the integration of health outcome data for identification of safety signals, aggregation of clinical trials data for identification of studies of ontologies to the integration of heterogeneous data, show how common analysis tools can use data from and publish to the Semantic Web, and explore other interest, demonstration of the minimal costs required for the integration of unforeseen data sets into an existing data model to enable answering unanticipated ways that Semantic Web technologies might further facilitate this scientific work. The IG will also adapt ontologies to meet the needs for evolving biological and Use cases, experience reports, guidelines, and best practices for deploying Semantic Web technologies within the Health Care and Life Sciences.Communications of the HCLS IG are public. This includes public meeting records and access to the archives of the public- scientific questions, and the creation of dashboards that show how heterogeneous and disparate data can be integrated to aid decision making. evidence models imposed by new techniques and instruments such as next-gen sequencing. The convening of workshops and interop events to support the exchange of business cases, lessons learned, and applications / toolkits to further demonstrate potential uses of Semantic Web technologies and capabilities to a broad audience of software developers and IT managers in the 2.3 Health Care 2.2 Health Care DOCUMENTS Health Care and Life Science industries.semweb-lifesci@w3.org mailing list. Within the larger domain of health care there has been a dramatic increase in the demand for information systems that capture expressive clinical data, host Pharmaceutical companies and individual patients, exploiting advances in translational medicine and informational infrastructure, are joining clinical interests in rich clinical knowledge, and are able to deliver robust decision support on behalf of healthcare quality improvement and clinical research. This HCLSIG activity Meeting reports, documents and Interest Group minutes will be available from the public HCLSIG home page. recording detailed patient records. As governments and patient advocacy groups demand improved performance from electronic patient records, such as will focus on applying the strengths of Semantic Web technologies directly relevant to meeting this demand. A primary goal will be to aid in efforts to unify the research or clinical decision support, clinicians, pharmaceutical companies and individuals with versatile semantic infrastructure will benefit from health care In order to meet the goal of delivering vocabularies and implementations within the time frame of this charter, the following draft milestones are collection of data for the purpose of both primary care (electronic medical records) and clinical research (patient recruitment, study management, outcomes- data which is easy to integrate with genomics, bio-informatics, chem-informatics and environmental data. This HCLS IG activity will focus on applying the based longitudinal analysis, etc.). defined. A more detailed set of milestones and specific events will be available on the HCLSIG home page. strengths of Semantic Web technologies directly relevant to meeting this demand. A primary goal will be to aid in efforts to unify the collection of data for the purpose of both primary care (electronic medical records) and clinical research (patient recruitment, study management, outcomes-based longitudinal analysis, This interest group will work towards promoting this goal in several ways. First, it will attempt to work with ongoing efforts to standardize and harmonize the January 2006 - Interest Group F2F ; identification of specific tasks to focus on, corresponding task force leaders and expected deliverables. etc.). Enabling semantic interoperability across organizational and jurisdictional boundaries through sharing and linking of such data is an important part of this acquisition and exchange of medical data led by standard bodies such as the CDISC, Health Level Seven (HL7) and BRIDG, enabling the use of these Suggested focus is on 4 month deliverables. Emerging practices for mapping and goal. standards with Semantic Web technologies. Second, it will collaborate with efforts focused on building formal ontologies for clinical medicine and investigationsThe HCLS IG welcomes active participation from representatives of W3C Member organizations. If you are part of a W3C February 2006 - Publication of initial report on vocabularies and detailed working plan expressed in Semantic Web languages such as OWL and RDFS. Finally, it will explore enabling interoperability through the documentation of mappings This interest group will work towards promoting this goal in several ways. First, it will attempt to work with ongoing efforts to standardize and harmonize the between terminologies. acquisition and exchange of medical data led by standard bodies such as the CDISC, Health Level Seven (HL7) and BRIDG, enabling the use of these April 2006 - Initial round of task force deliverables published. linking life sciences data using RDF — standards with Semantic Web technologies. Second, it will collaborate with efforts focused on building formal ontologies for clinical medicine and investigations Another topic of interest is building innovative clinical decision support capabilities into patient record systems. Our task in this area is to identify best practices May 2006 - Interest Group F2F ; Evaluate the status of existing task forces and target new ones accordingly. expressed in Semantic Web languages such as OWL and RDFS. Finally, it will explore enabling interoperability through the documentation of mappingsMember organization, please verify or create your W3C web account, then ask your Advisory Committe representative for clinical guideline representation in such a way that standards-based reasoning systems and knowledge sources can be leveraged in these patient record between terminologies. July 2006 - new round of task force deliverables published. systems. August 2006 - Public Semantic Web / Health Care and Life Sciences Interoperability Workshop 3. Deliverables A case series Another topic of interest is building innovative clinical decision support capabilities into patient record systems. Our task in this area is to identify best practices for clinical guideline representation in such a way that standards-based reasoning systems and knowledge sources can be leveraged in these patient record(member-only) to join the HCLS IG and nominate you to participate. More detailed instructions are available. October 2006 - Interest Group F2F ; Evaluate the status of existing task forces and target new ones accordingly. systems. Implementation and demonstrations of one or two use cases in each of the three focus areas. Ontology of Rhetorical Blocks (ORB) Dec 2006 - new round of task force deliverables published. Technical collateral including tutorials, experience reports, and guidelines. 2.1 Translational Medicine Business level communications and literature for use in liaison activities, to be updated biannually. Relationship with Other Activities Organization of at least one international workshop each year, to exchange knowledge on deployed systems, interesting use cases, lessons learned, and As research exposes more associations between genetics and medication outcomes, translational models are needed to allow health workers and researchers demos built. to access this information. Recent advances in biological understanding are allowing pharmaceutical companies to begin to develop tailored therapeutics, The HCLSIG will utilize W3C Semantic Web technologies where appropriate, and provide input back to such groups on use cases, experiences and Presentations, by members, of aspects of the groups activities at three to five relevant conferences or workshops each year. thereby allowing patients to receive the right drug, at the right dose, and at the right time. However, in order for such treatments to be developed, companies
  4. 4. SEMANTIC WEB HEALTH CARE AND LIFE SCIENCES (HCLS) INTEREST GROUPHOME “The Semantic Web for Health Care and Life Sciences Interest Group (HCLSIG) is chartered to develop and support the use of Semantic Web technologiesIntroductionThe mission of the Semantic Web Health Care and Life Sciences Interest Group (HCLS IG) is to develop, advocate for, andsupportimprove collaboration, research andclinical research and translational medicine. to domains stand to gainWeb technologies across healthand inter-domain application of Semantic Web technologies as the use of Semantic care, life sciences, development, and innovation adoption inThese tremendous benefit from intra-they depend on the interoperability of information from many disciplines.and Life Science domains.” the Health Care Please see the accompanying Use Cases and LINKSRationale document. Interest Group links: Group CharterThe group will: Public Wiki page Instructions on joining the IG 2005-2007 2008-2011 Continue to develop high level (e.g. TMO) and architectural (e.g. SWAN) vocabularies. Implement proof-of-concept demonstrations and industry-ready code. 2011-2014 Participants: Document guidelines to accelerate the adoption of the technology. organizations This charter is now expired; please see the next HCLS IG charter. Scope Disseminate information about the groups work at government, industry, academic events and by participating in persons (member only link) Motivations Scope Deliverables Semantic Web for Health Care and Life Sciences Interest Group (HCLSIG) Charter Motivations Dependencies Deliverables Semantic Web Health Care and Life Sciences Interest Group Participation community initiatives. Dependencies Communication Contents Semantic Web Health Care and Life Sciences Interest Group Participation Communication Charter Decision Policy Patent Disclosures 1. Mission Statement Charter Mailing list archives Decision Policy The mission of the Semantic Web Health Care and Life Sciences Interest Group (HCLS IG) is to develop, advocate for, and support About this Charter 2. Scope Patent Disclosures the use of Semantic Web technologies across health care, life sciences, clinical research and translational medicine. These domains The mission of the Semantic Web Health Care and Life Sciences Interest Group, part of the Semantic Web Activity, is to develop, About this Charter stand to gain tremendous benefit from intra- and inter-domain application of Semantic Web technologies as they depend on the 3. Duration interoperability of information from many disciplines. Please see the accompanying Use Cases and Rationale document. advocate for, and support the use of Semantic Web technologies for health care and life science, with focus on biological science and 4. Deliverables translational medicine. These domains stand to gain tremendous benefit by adoption of Semantic Web technologies, as they depend on the interoperability of information from many domains and processes for efficient decision support. The group will:Participation 5. Relationship with Other Activities The group will: Continue to develop high level (e.g. TMO) and architectural (e.g. SWAN) vocabularies. 6. Interest Group Participation Implement proof-of-concept demonstrations and industry-ready code. Document use cases to aid individuals in understanding the business and technical benefits of using Semantic Web technologies. Document guidelines to accelerate the adoption of the technology. 7. Meetings Disseminate information about the groups work at government, industry, academic events and by participating in community initiatives. Document guidelines to accelerate the adoption of the technology. 8. Group Communications Implement a selection of the use cases as proof-of-concept demonstrations. Explore the possibility of developing high level vocabularies. Join the Semantic Web Health Care and Life Sciences Interest Group. 9. Patent DisclosuresCommunications of the HCLS IG are public. This includes public meeting records and access to the archives of the public- Disseminate information about the groups work at government, industry, and academic events. End date 31 Aug 2014 Join the Semantic Web Health Care and Life Sciences Interest Group. Mission Statement Confidentiality Proceedings are Publicsemweb-lifesci@w3.org mailing list. The Semantic Web for Health Care and Life Sciences Interest Group (HCLSIG) is chartered to develop and support the use of Semantic Web technologies to improve collaboration, research and development, and innovation adoption in the of Health Care and Life Science domains. Success in these domains depends on a foundation of semantically rich system, process and information interoperability. To these ends, the HCLSIG will focus on End date Confidentiality 31 May 2011 Proceedings are Public Chairs DOCUMENTS Michel Dumontier (Carleton University) - life sciences Charles Mead (NCI CBIIT) Vijay Bulusu (Pfizer) - health care - pharmaceuticals Chair assignments will be reviewed every 18 months. Initial Chairs Susie Stephens, Chimezi Ogbuji, M. Scott Marshall the development of use cases that illustrate the business value of Semantic Web technology adoption, core vocabularies, guidelines and best practices regarding unique identifiers, and provide a forum for supporting communication, education, collaboration and implementation. The HCLSIG will also Initial Team Contacts Initial Team Contacts Eric Prudhommeaux Eric Prudhommeaux work with the other Semantic Web related groups to gather suggestions for further HCLSIG development work. Further, the HCLSIG will provide a (FTE %: 60) (FTE %: 50) forum to support and encourage the use of Semantic Web technologies and foster the growth of interoperable, policy-aware data and databases in the Emerging practices for mapping and Teleconferences: Weekly Teleconferences: Weekly Life Sciences and Health Care industries. Usual Meeting Schedule Usual Meeting ScheduleThe HCLS IG welcomes active participation from representatives of W3C Member organizations. If you are part of a W3C Face-to-face: at least one per year Face-to-face: at most once per year This work falls within the Technology and Society Domain and is part of W3Cs Semantic Web Activity. linking life sciences data using RDF — 1. Scope 1. Scope ScopeMember organization, please verify or create your W3C web account, then ask your Advisory Committe representative The HCLSIG will provide a forum for supporting, guiding and collecting application and implementation experience. It will develop and support Semantic Web The HCLS IG will continue to provide a forum for supporting, developing and applying Semantic Web technologies across healthcare, life sciences, clinical The HCLSIG is focused on the use of Semantic Web technologies to better enable interoperability and improve collaboration, research and development, A case series technologies in the three focus areas: life science, translational medicine, and health care. Within these areas, it will address use cases that have clear research and the continuum of translational medicine. Within these contexts, the HCLS IG will focus on the use of Semantic Web technologies to realize innovation adoption, and data reusability in the health Care and life science domains. Sample areas of work designed to facilitate this goal include: specific use cases which themselves have a specific clinical, research of business values. As use cases are developed, HCLS IG will solicit advice on technical scientific, business, and/or technical value. HCLSIG will solicit advice on technical matters from other Semantic Web related groups within W3C and give feedback on the use of technologies based on the work they do. The IG will extensively liason with external organizations that are central to the areas to which matters from other Semantic Web related groups within W3C and give feedback on the use of technologies based on the work they do. The IG will also focus(member-only) to join the HCLS IG and nominate you to participate. More detailed instructions are available. Core vocabularies: In order to stimulate cross-community data integration, collaborative efforts are required to define core vocabularies that can on developing ongoing and mutually productive liaisons with relevant external organizations in healthcare, life sciences, and clinical research, including we wish to contribute. In some cases, work started in HCLSIG may be proposed to spin out into a separately chartered group. It is specifically in scope to: bridge data and ontologies developed by individual communities of practice in HCLS. It is expected these vocabularies will be expressed in RDF Schema organizations that are actively working on relevant standards and/or implementations to which the HCLS’s work might contribute. In some cases, work started Ontology of Rhetorical Blocks (ORB) and / or OWL to maximize reuse among the community. Example vocabularies include but are not limited to: Discuss the relevance and maturity of tools. in HCLS IG may be proposed to spin out into a separately chartered group. It is specifically within the scope of the HCLS IG to: Create vocabulary guidelines. provenance and context: identifying data (e.g. gene banks, protein databases, disease knowledge bases such as SNOMED CT, drug information Build demonstrations and test suites. Create Linked Data and guidelines to help others create Linked Data. knowledge bases, templates for collecting clinical trial data, collections of rules bases comprising clinical decision support logic, etc.) sources, Create collateral within the scope of this interest group. Create vocabularies and vocabulary bridges. authors, publications names, and collection conditions in HCLS. Build demonstrations and test suites.
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