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DC-2022 CFP - Deadline extended to May 9, 2022
by DCMI Announce 25 Apr '22

25 Apr '22

DC-2022: Metadata Innovation: Inclusivity, Intelligence, and Interoperability Call for Participation Venue: University of Washington, Seattle, USA Mode: Virtual and (pandemic permitting) in-person In-Person date: October 3rd - October 5th Virtual date: October 3rd - October 14th Website: https://www.dublincore.org/conferences/2022/ Deadline extended to May 9, 2022 The Dublin Core™ community has been a fertile ground for researchers, educators, practitioners and developers to exchange and share ideas, knowledge, experience, and innovative projects on metadata for more than two decades. This year the DC-2022 conference expands its themes to the whole spectrum of innovation in metadata design, implementation & best practices, with a special focus on challenges and opportunities in the data-intensive and diverse world. Two years into the pandemic, the changes and rising needs for information justice and equity prompted the metadata community to reexamine how the metadata community address the biases and prejudice existed in the metadata tools and practices. Creating just, equitable representation of data and information resources and entities plays a significant role in promoting diversity and inclusion. These social and cultural changes coupled with the data-intensive, data-dependent, and data-driven environment demand metadata to be innovative, intelligent, interoperable, sharable, and reusable. Metadata as one of the underpinning dimensions for the digital data era has never been more critical than today. Fashionable fields such as linked (open) data, research data, artificial intelligence, machine learning, digital humanities and open science are dependent upon quality metadata to operate and perform effectively. Besides supporting information and data management, discovery, sharing, conservation, and reuse, metadata has become an invaluable source for analytics and knowledge discovery and make information more accessible for diverse communities. The parallel growth of data and metadata offers new challenges and opportunities for the metadata community to rethink and reposition metadata research and practice in order to stay ahead of the next wave of developments in data-driven environments and diverse cultures. Since the late 1990s, the Dublin Core™ conference has been a major venue for discussions on where innovation opportunities for metadata might lie and where existing good practices may be consolidated. The conferences have drawn participants not only from universities, research institutions and LAMs (libraries, archives, and museums), but also from corporations and government agencies. Continuing the legacy of the Dublin Core™ conferences from the last two decades, the DC-2022 conference seeks inspirational submissions on developments of innovative tools, practices, and solutions, while addressing theoretical, analytical, and empirical aspects of metadata. Submissions in form of papers, reports, posters, panels, tutorials, workshops and demonstrations are welcome in the following broad categories of metadata design, deployment and best practices: Metadata principles, guidelines, and best practices Curation, governance, and sustainability Conceptual models and frameworks Entity management Lessons from implementation Interoperability and harmonization Metadata quality and validation Metadata and diversity, equity, inclusion, and accessibility (DEIA) Metadata for research data Metadata analytics, AI, and knowledge graph Metadata in digital humanities. For more details about submission, please visit the conference website: https://www.dublincore.org/conferences/2022/cfp/ DC-2022: Deadlines Papers (long and short): May 9 Posters, Panels, Student forum: May 31st Tutorials: by invitation Best Practices: by invitation Invited Talks: by invitation Keynotes: by invitation Jian Qin DC-2022 Conference Program Chair

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Final reminder - Webinar - Applying FAIR Principles to Ontologies (DCMI)
by DCMI Announce 06 Apr '22

06 Apr '22

This is a final reminder for the registration. This webinar is scheduled for April 7, 2022, at 16:00 UTC and is free for DCMI members. (convert this time to your local timezone here - https://www.timeanddate.com/worldclock/fixedtime.html?msg=DCMI+Webinar+-+Ap…) This Webinar will be hosted by ASIS&T. Registration for DCMI webinars is currently free, but you will need to use the discount code '*dcmi25*' when you register. Register Here - https://associationforinformationscienceandtechnologyasist.growthzoneapp.co… This webinar addresses ontologies for the semantic web and how FAIR principles could be applied to ontologies. This includes metadata best practices and registries to publish the ontologies as Linked Open Vocabularies. Objectives are: To become familiar with ontologies for the semantic web and linked data principles; To become familiar with FAIR principles; To understand how FAIR principles could be applied to ontologies. Speaker: Dr. María Poveda-Villalón, associate professor, Artificial Intelligence Department of the Universidad Politécnica de Madrid Find more on https://www.dublincore.org/news/2022/04-06_webinar-applying-fair-principles…. <https://www.dublincore.org/news/2022/04-06_webinar-applying-fair-principles…>

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automated response
by Christy Semmens 20 Mar '22

20 Mar '22

Thank you for your message. I am currently in the field on a REEF Field Survey Trip with no internet access until March 20. If you have an immediate need, please contact reefhq(a)REEF.org. Otherwise, I will get back with you as soon as I am able.

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DC-2022 Conference - Call for Participation
by DCMI Announce 18 Mar '22

18 Mar '22

DC-2022 Conference: Metadata Innovation Call for Participation https://www.dublincore.org/conferences/2022/cfp/ ------------------------ Venue: University of Washington, Seattle, USA Mode: Virtual and (pandemic permitting) in-person In-Person date: 2022 October 3rd to October 5th Virtual date: 2022 October 3rd to October 14th ------------------------ For more than two decades, the Dublin Core community has been a fertile ground for researchers, educators, practitioners and developers to exchange and share ideas, knowledge, experience, and innovative projects on metadata for more than two decades. The DC-2022 conference is expanding its scope to the whole spectrum of innovation in metadata design, implementation and best practices, with a special focus on challenges and opportunities in a diverse and data-intensive world. Two years into the pandemic, rising needs for information justice and equity are pushing the metadata community to reexamine and address biases and prejudices in metadata tools and practices in order to make information more accessible to diverse communities. Today's data-intensive, data-dependent, and data-driven environment requires metadata that is intelligent, interoperable, sharable, and reusable. Metadata has never been more crucial than today. Trending fields such as Linked Open Data, research data, artificial intelligence, machine learning, digital humanities and open science depend on high-quality metadata. The parallel growth of data and metadata challenges the metadata community to rethink its research and practices in order to stay ahead of emerging trends. The Dublin Core conference is a venue for discussing "innovative practice" - new solutions to practical problems. It draws participants from universities, research institutions and LAMs (libraries, archives, museums), but also from corporations and government agencies. The organizers of DC-2022 seeks inspirational submissions on innovative tools, practices or solutions while addressing theoretical, analytical, and empirical aspects of metadata. Submissions in form of papers, reports, posters, panels, tutorials, workshops and demonstrations are welcome in the following broad categories of metadata design, deployment and best practices: - Metadata principles, guidelines, and best practices - Curation, governance, and sustainability - Conceptual models and frameworks - Entity management - Lessons from implementation - Interoperability and harmonization - Metadata quality and validation - Metadata and diversity, equity, inclusion, and accessibility (DEIA) - Metadata for research data - Metadata analytics, AI, and knowledge graph - Metadata in digital humanities. # DC-2022 and the pandemic ------------------------ After two years of pandemic conditions and two all-virtual conferences, many of us look forward to the day when we again can meet in person, so we are exploring options for meeting in early October face-to-face, possibly in North America. The feasibility of doing so may remain unclear for many more months. We are therefore planning that the event will, by default, again be held virtually. If it becomes possible to hold a face-to-face meeting, attendees and presenters will have the option to attend either in person or online. # Submission Guidelines ------------------------ - At least one author of an accepted submission must be available to present the work, at a minimum online and possibly, as an option, in person. - Submissions must follow the guidelines for one of the categories enumerated below. - All submissions must be in English. - All submissions must be made via the Submission System, (https://easychair.org/conferences/?conf=dc2022) which will open in late March. - Submissions must be made using Open Office (.odf) or Microsoft Word (.doc or .docx), for which templates are available. - A template for papers in Latex may also be made available. # Formatting Guidelines ------------------------ - Page size: ISO A4 (8.27 in x 11.69 in / 21 cm x 29.69 cm) - Top and bottom margins: 1.18 in / 3 cm - Left margin: 1.14 in / 2.9 cm - Right margin: 1.13 in / 2.87 cm - Header from top: .5 in /1.27 cm # Submission categories ------------------------ ## Peer-reviewed papers ------------------------ Peer-reviewed papers will be published online in the conference proceedings and will be available before the start of the conference. The papers are indexed by DBLP and Google Scholar. ## Full papers ------------------------ Full papers either describe innovative work in detail or provide critical, well-referenced overviews of key developments or good practices. - Session time allotted: 20 minutes (typically 15 minutes presentation with 5 minutes for questions) - Paper and presentation slides will be included in online Proceedings - 8-10 pages ## Short papers ------------------------ Short papers are narrower in scope than full papers and may be either a description of work in progress, or a project report that concisely describes a specific model, application, or activity. - Session time allotted: 15 minutes (typically 10 minutes presentation with 5 minutes for questions) - Paper & presentation slides included in online Proceedings - 4-5 pages ## Posters ------------------------ Posters are for the presentation of projects, research under development or late-breaking results. - Abstract and poster slide image will be included in the online Proceedings - 2-3 page abstract # Panels Panel sessions are organized by experts in a specific area of metadata. Each panel serves as a focused exchange regarding the latest research and/or best practice in the area. - Session time allotted: 90 minutes - 1-2 page abstract with panelist bios of 100-150 words each - Abstracts and bios will be included in the online Proceedings ## Tutorials ------------------------ Tutorials introduce specific topics of current interest in metadata practice, optionally including hands-on practice. Proposals for tutorials must include: - Title of tutorial and topic to be covered (2-3 paragraphs) - Target audience: beginners, intermediate users, or experts - Tutorial style: lecture, demonstration, hands-on practice, software installation... - Any prior knowledge required (eg, RDF, programming languages) - Whether participants must (or should) bring laptops or install software beforehand - Length of tutorial: 1 - 1.5 hours - Presenter bios (100-150 words each) ## Student Forum ------------------------ The DCMI Student Forum aims at providing an opportunity to masters' and doctoral students to share their experiences and exchange ideas of best practices, research in progress, and findings in areas related to metadata innovation. # Submission Deadlines ------------------------ - Papers (long and short): 2022 May 2nd - Posters, Panels, Student forum: 2022 May 31st

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DCMI Webinar, February 10, Natural history data curation
by DCMI Announce 19 Jan '22

19 Jan '22

This webinar is scheduled for February 10, 2022, 16:00 UTCC and is free (but registration is required). ** About the webinar* Natural history collections constitute an important and complex knowledge infrastructure. The heterogeneous data in these collections include specimens, genomes, field notes, ecological monitoring data, and more -- all of which have huge potential for reuse in biodiversity, medicine, climate science, agriculture, and many other domains. However, facilitating this integrative reuse requires first maintaining the fragile infrastructures used to store and share these data, and second, novel approaches to migrating data from legacy (and often analog) formats into datasets that are more fit-for-use. In this webinar, Dr. Thomer will discuss findings from two projects tackling natural history data curation: one focusing on the maintenance and migration of natural history databases, and another on the digitization and mobilization of historical data. The webinar will be of interest to those working with similar collections, as well as those interested in the maintenance of knowledge organization, knowledge infrastructures and the integrative reuse of scientific data. This webinar is hosted by the DCMI Education Committee and will be moderated by Dr. Karen Wickett. ** About the speaker* Dr. Andrea Thomer is an Assistant Professor at the University of Michigan School of Information. She conducts interdisciplinary research on scientific data curation and on the maintenance and evolution of knowledge infrastructures. She is especially interested in database curation, integrative data reuse, and the collaborative use and curation of natural science data. Dr. Thomer earned her doctorate at the School of Information at the University of Illinois at Urbana‐Champaign in 2017. Prior to her graduate work, she was an excavator and ad hoc data curator at the La Brea Tar Pits in Los Angeles, California. *Register (free) at* https://www.dublincore.org/news/2022/10-08_webinar-natural-history-data-cur…

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Two job openings at the Natural History Museum of Denmark (part of the University of Copenhagen)
by Pip Brewer 11 Jan '22

11 Jan '22

Hello! The Natural History Museum of Denmark is currently advertising for a: * Technical Team Leader / Digitisation Lab Manager, and a * Data Manager with IT background to be part of our Digital Collections Team working on the DaSSCo programme. DaSSCo aims to digitise all of Denmark's natural history collections and make them publicly available. We have funding until 31/08/2026 to kick start this ambitious programme, focussing on establishing the infrastructure and commence digitisation efforts. Deadline for applications is 4th February 2022. Full details can be found via the following links Technical Team Leader https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentI…<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcandidate…> Data Manager https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentI…<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcandidate…> Please share this message with colleagues, students, your networks, on newsletters, job boards, carrier pigeons etc! Many best wishes, Pip -- Pip Brewer DaSSCo Project Leader Natural History Museum of Denmark (NHMD) University of Copenhagen Universitetsparken 5, DK-2100 Copenhagen, Denmark pip.brewer(a)snm.ku.dk<mailto:pip.brewer@snm.ku.dk>

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Curation & Digitisation Assistant post at Cambridge University Herbarium (CGE): deadline 10th Jan 2022
by Lauren M. Gardiner (she/her) 04 Jan '22

04 Jan '22

Happy New Year from the Cambridge University Herbarium! Would you like to be the Curation & Digitisation Assistant at the Cambridge University Herbarium, part of the Department of Plant Sciences? This is a new and exciting post and we are looking for someone with experience of working in herbaria/museum/library/archives, ideally with natural history collections. Funding is available for a fixed term 12 month contract in the first instance, full-time or part-time. The University of Cambridge actively supports equality, diversity and inclusion and encourages applications from all. The deadline for applications is 10th January 2022. You can find more information and the more detailed further particulars here: https://www.jobs.cam.ac.uk/job/32760/. Please do share this message with colleagues, students, and your networks, newsletters, and job boards! With all very best wishes, Lauren --- Dr Lauren M. Gardiner FLS (pronouns: she/her)| Curator of the Cambridge University Herbarium (CGE) and Academic Librarian for the Department of Plant Sciences | CB2 1LR | Email: herbarium(a)plantsci.cam.ac.uk<mailto:herbarium@plantsci.cam.ac.uk> | @CUHerb<https://twitter.com/cuherb> | YouTube Channel<http://www.youtube.com/channel/UC4zZgFGfje_I7_k2my_zeqA> This email (together with any files transmitted with it) is intended only for the use of the individual(s) to whom it is addressed and must not be distributed without explicit consent. It may contain information which is confidential and/or legally privileged. If you have received this email in error, please notify the sender by return email (or telephone) and delete the original message. Unless expressly stated, opinions in this email are those of the individual sender, and not of the University of Cambridge. The sender has taken reasonable precautions to check for viruses but the recipient opens this message at their own risk.

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Please post the message below tp the TDWG list. Thanks!
by Bart, Henry L 07 Dec '21

07 Dec '21

Graduate Research Assistant The Tulane University Biodiversity Research Institute (TUBRI) is a research center of Tulane's School of Science and Engineering, located on the grounds of the F. Edward Hebert Research Center in Belle Chasse, Louisiana, a suburb of New Orleans. TUBRI houses the Royal D. Suttkus Fish Collection and specializes in biodiversity discovery (primarily fishes) and biodiversity informatics research. Henry L. Bart, Jr., Professor of Ecology and Evolutionary Biology serves as TUBRI Director and Yasin Bakış is Senior Manager of Biodiversity Informatics and Data Engineering for the center. A Graduate Research Assistant is sought to support the research of the newly funded, NSF Harnessing the Data Revolution Institute project entitled, Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning. The project involves using Machine-Learning methods to train neural networks to extract phenotypic trait data from images of fish specimens, aided by a fish anatomy ontology and trees depicting phylogenetic relationships among tested fish species. The successful candidate will actively participate in the research of the project under the mentorship of Bart and Bakış. Desired Knowledge, Skills, and Abilities Working knowledge of at least 2 of the following languages (one from each group) {Java, C, C++, C#}, {Python, PHP, Perl}, {R, Bash, JavaScript}, {ORACLE SQL, MSSQL, PostgreSQL, MySQL} Required Education and/or Experience BSc in Biology, Computer Science, Information Sciences, or a related field Should commit to complete PhD study in Ecology and Evolutionary Biology (EEB) or Interdisciplinary EEB and Computer Science Preferred Qualifications MSc in Biology, Computer Science, Information Sciences or a related field Working knowledge of Unix based operating systems Prior experience in one of the following fields; Image Processing, Artificial Intelligence, Genetic Algorithms, Biodiversity Informatics, Computational Biology, Bioinformatics, Biomedical Informatics, Ecoinformatics or a related field (publications) experience in Image Processing projects experience in Artificial Intelligence/Neural Networks projects experience in web-database applications experience in Genetic Algorithms Other requirement for the position Admission the Ph.D. program in Ecology and Evolutionary Biology at Tulane University The position is open to international candidates Should be able to travel internationally Strong communication and interpersonal skills The project is in progress, and the position is available as early as January 2022. However, we are willing to delay the start until Summer or Fall 2022 for a qualified and highly motived student. For additional information, please contact Henry Bart (hbartjr(a)tulane.edu<mailto:hbartjr@tulane.edu>) and Yasin Bakiş (ybakis(a)tulane.edu<mailto:ybakis@tulane.edu>). Register for an account here: https://sse.tulane.edu/academics/graduate/admissions Henry L. Bart Jr., Ph.D. Director, Tulane University Biodiversity Research Institute Curator, Royal D. Suttkus Fish Collection 3705 Main Street, Belle Chasse, LA 70037 Voice: 504-394-1711; Fax: 504-394-5045 Professor of Ecology and Evolutionary Biology, Tulane University 400 Lindy Boggs Hall, New Orleans, LA 70118 Voice: 504-862-8283; Fax 504-862-8706 Website: http://people.tubri.org/hank/

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Please post to the TDWG List. Thanks!
by Bart, Henry L 07 Dec '21

07 Dec '21

Postdoctoral Research Associate The Tulane University Biodiversity Research Institute (TUBRI) is a research center of Tulane's School of Science and Engineering, located on the grounds of the F. Edward Hebert Research Center in Belle Chasse, Louisiana, a suburb of New Orleans. TUBRI houses the Royal D. Suttkus Fish Collection and specializes in biodiversity discovery (primarily fishes) and biodiversity informatics research. Henry L. Bart, Jr., Professor of Ecology and Evolutionary Biology serves as TUBRI Director and Yasin Bakış is Senior Manager of Biodiversity Informatics and Data Engineering for the center. A postdoctoral research associate is sought to provide biological expertise and insight to the newly funded, NSF Harnessing the Data Revolution Institute project entitled, Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning. The project involves using Machine-Learning methods to train neural networks to extract phenotypic trait data from images of fish specimens, aided by a fish anatomy ontology and trees depicting phylogenetic relationships among tested fish species. The successful candidate will actively participate in the research of the project under the mentorship of Bart and Bakış. 1. Analyzing images of fish specimens and corresponding metadata and creating reports based on the statistics about the data 2. Extracting morphological traits from fish specimen images to verify species identity 3. Designing and following workflows and pipelines for processing images and using extracted morphological traits data in "morphological barcoding" experiments for diagnosing the various taxonomic groups. 4. Verifying project outputs for scientifically accuracy 5. Support the coding team by * assisting in software design where biological expertise is needed * making sure the software is properly documented and openly accessible * providing scientific input during the coding process so that outputs are scientifically sound and publishable 6. Attending related workshops, training programs, and meetings 7. Keeping abreast of the latest literature and openly sharing finding with project collaborators, 8. Work collaboratively with Imageomics ML experts to explore deep-learning methods, 9. Perform scientific analyses based on outputs of the project 10. Present analysis results at conferences and publish findings at scientific journals. Required Knowledge, Skills, and Abilities Prior (proven) experience in at least one of the following fields: Image Processing, Artificial Intelligence, Genetic Algorithms, Biodiversity Informatics, Computational Biology, Bioinformatics, Biomedical Informatics, Ecoinformatics or a related field (scientific publications) Working knowledge of at least three of the following languages (one from each group) {Java, C, C++, C#}, {Python, PHP, Perl}, {R, Bash, JavaScript}, {ORACLE SQL, MSSQL, PostgreSQL, MySQL} Working knowledge of Unix based operating systems Experience in writing grant proposals and scientific publications Strong problem-solving skills Required Education and/or Experience PhD in Biological Sciences, Biodiversity Informatics, Computer Science, Information Sciences, Computational Biology/Bioinformatics, or a related field Preferred Qualifications Experience with: Image Processing Artificial Intelligence/Neural Networks Genetic Algorithms Web-database applications Experience in parallel computing (GPU) Working knowledge of version control system (GIT) Other Position is open to international candidates Should be able to travel internationally Strong communication and interpersonal skills Start date: 1 February 2022 For additional information about the position, please contact Henry Bart (hbartjr(a)tulane.edu<mailto:hbartjr@tulane.edu>) or Yasin Bakiş (ybakis(a)tulane.edu<mailto:ybakis@tulane.edu>) Apply here: https://apply.interfolio.com/99039

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employment opportunity
by Bart, Henry L 02 Dec '21

02 Dec '21

Please post to the TDWG List: Computer Programmer The Tulane University Biodiversity Research Institute (TUBRI) is a research center of Tulane's School of Science and Engineering, located on the grounds of the F. Edward Hebert Research Center in Belle Chasse, Louisiana, a suburb of New Orleans. TUBRI houses the Royal D. Suttkus Fish Collection and specializes in biodiversity discovery (primarily involving fishes) and biodiversity informatics research. Henry L. Bart, Jr., Professor of Ecology and Evolutionary Biology serves as TUBRI Director and Yasin Bakış is Senior Manager of Biodiversity Informatics and Data Engineering for the center. A computer programmer is sought to build cyberinfrastructure for accessing, hosting and sharing images of fish specimens from institutional image repositories and iNaturalist for use by investigators in the newly-funded, NSF Harnessing the Data Revolution Institute project entitled, Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning. The images will be used in Machine-Learning based, taxonomic identification and morphological trait extraction experiments, aided by a fish anatomy ontology and trees depicting phylogenetic relationships among tested fish species. The successful candidate will perform the following tasks in the Imageomics Institute Project under the supervision of Bart and Bakış. 1. Create automation to process 700,000+ 2D images and associated metadata 2. Extract morphological traits including segmentation, shape outlines of specimens, strings of pixels representing color/pigment patterns from different areas of the fish image, color palette data, histogram data etc. to verify species identity 3. Build software for a. Extracting several different types of morphological features from fish images automatically b. Calculating the subsets of features (morphological barcodes) useful for identifying clusterings of images based on Genetic Algorithms Feature Selection methods c. Implementing a Neural Network design for training computers in fish classification using the extracted morphological traits d. Work collaboratively with other Imageomics Institute ML experts to explore deep-learning methods to capture species identification and trait data from other types of animal images. Required Knowledge, Skills, and Abilities 1. Image Processing 2. Artificial Intelligence/Neural Networks 3. Genetic Algorithms 4. Working knowledge of following languages (one from each group) Java, C, C++, C#}, {Python, PHP, Perl}, {R, Bash, JavaScript}, {ORACLE SQL, MSSQL, PostgreSQL, MySQL} 1. Unix based server management 2. Parallel programming (GPU) 3. Working knowledge of version control system (GIT) 4. Documenting the code 5. Ability to write clear, maintainable, portable code that conforms to standards and practices 6. Cross-platform experience Required Education and/or Experience College degree (Associates or Bachelors) in Computer Science, Information Sciences, Biology, and related fields. Must have at least 3 years of programming experience Preferred Qualifications MSc or PhD in computational biology, bioinformatics, biology or a related field Experience in web-database applications Prior experience with Biological datasets Other Requirements The position is open to international candidates Candidate should be able to travel internationally Start date: The position is open for immediate hire. Preferred starting date is 4 February 2022 For additional information about the position, please contact Henry Bart (hbartjr(a)tulane.edu<mailto:hbartjr@tulane.edu>) or Yasin Bakiş (ybakis(a)tulane.edu<mailto:ybakis@tulane.edu>) Apply here: https://jobs.tulane.edu/position/IRC22108 Thank you! Henry L. Bart Jr., Ph.D. Director, Tulane University Biodiversity Research Institute Curator, Royal D. Suttkus Fish Collection 3705 Main Street, Belle Chasse, LA 70037 Voice: 504-394-1711; Fax: 504-394-5045 Professor of Ecology and Evolutionary Biology, Tulane University 400 Lindy Boggs Hall, New Orleans, LA 70118 Voice: 504-862-8283; Fax 504-862-8706 Website: http://people.tubri.org/hank/

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