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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 08 Dec '21

08 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 08 Dec '21

08 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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DCMI Webinar, Nov 18, Introduction to OpenRefine
by DCMI Announce 09 Nov '21

09 Nov '21

This webinar is scheduled for Wednesday, Nov 18th, 2021, 18:00 UTC and is free (but registration is required). * About the webinar OpenRefine is a freely available desktop application for cleaning and processing data. This webinar will introduce the basic features of OpenRefine and discuss its use in some common scenarios for metadata cleaning and improvement. The webinar will use the introductory lessons of the Library Carpentry OpenRefine Lesson, which includes sample data and is available here: https://librarycarpentry.org/lc-open-refine/ OpenRefine is available for download here: https://openrefine.org/download.html * About the speaker Elizabeth Wickes is a Lecturer at the School of Information Sciences at the University of Illinois, where she teaches foundational programming and information technology courses. She was previously a Data Curation Specialist for the Research Data Service at the University Library of the University of Illinois, and the Curation Manager for Wolfram|Alpha. Register (free) at https://www.dublincore.org/news/2021/10-08_webinar_introduction_to_openrefi…

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DCMI Virtual 2021 Registration OPEN
by DCMI Announce 14 Sep '21

14 Sep '21

Dear all, The DCMI Virtual 2021(https://dublincore.org/conferences/2021/) Conference will be held from 10/4 to 10/15. The registration is open. Registration is required to participate in the DCMI Virtual 2021 Conference. Here is the direct link to the registration ( https://dublincore.org/conferences/2021/registration/) We look forward to having you at the coming DCMI Virtual 2021. The DCMI Virtual Organizing Team

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LifeCLEF 2021 worksop
by ajoly 30 Aug '21

30 Aug '21

Save the date LifeCLEF <http://www.lifeclef.org/> workshop 2021: AI-based biodiversity identification and prediction Thursday, 23rd Sept (in the context of CLEF <http://clef2021.clef-initiative.eu/> virtual conference, overall programme <http://clef2021.clef-initiative.eu/index.php?page=Pages/programme.html>) <http://www.lifeclef.org/> AIMS AND SCOPE -------------------------- Since 2014, LifeCLEF has been organizing large-scale challenges on biodiversity identification and prediction in the context of the CLEF international conference. The annual workshop is a unique opportunity to bring together specialists from different backgrounds: machine learning, ecology, citizen science, biodiversity conservation. It is also an opportunity to have an overview of the state of the art of artificial intelligence techniques for (i) the identification of plant and snake species by images, (ii) the recognition of bird sounds and (iii) the prediction of species distributions from remote sensing images. REGISTRATION ——————————— The registration <https://docs.google.com/forms/d/e/1FAIpQLSdn45KhRPwzolT1sRv35AUXU-P2afVaclr…> to CLEF conference is FREE but MANDATORY. PROGRAMME -------------------- Provided schedules are in Central European Summer Time (CEST, e.g. Paris) For Pacific Daylight Time (PDT, e.g. California): -9 For Australian Eastern Standard Time (AEST, e.g Brisbane): +8 11:30 - 13:00 LifeCLEF session 1 - chair: Alexis Joly 11:30-12:05 Keynote talk - Jessie Oliver (Queensland Univ. of Tech) - Designing citizen science technologies that support people learning and improving artificial intelligence 12:05-12:20 BirdCLEF challenge overview - Stefan Kahl (Cornell, Chemnitz univ.) 12:20-12:30 BirdCLEF participant - Jean-Francois Puget (NVIDIA) - STFT Transformers for Bird Song Recognition 12:30-12:45 SnakeCLEF challenge overview - Lukáš Picek (Univ. of West Bohemia) 12:45-13:00 PlantCLEF challenge overview - Hervé Goëau (CIRAD, PlantNet) 15:30 - 17:00 LifeCLEF session 2 - chair: Hervé Goëau 15:30-16:00 Invited talk - Marijn van der Velde (EU JRC) 16:00-16:15 GeoLifeCLEF challenge overview - Titouan Lorieul (Inria, univ. of Montpellier) 16:15-16:25 SnakeCLEF participant - Louise Bloch (Department of Computer Science, University of Applied Sciences and Arts Dortmund) - EfficientNets and Vision Transformers for Snake Species Identification Using Image and Location Information 16:25-16:35 GeoLifeCLEF participant - Sachith Seneviratne (Univ. of Melbourne) - Contrastive Representation Learning on remote sensing imagery for species habitat prediction 16:35-17:00 Invited talk - Sara Beery (Caltech) ORGANIZERS -------------------------- Coordination Alexis Joly <http://www-sop.inria.fr/members/Alexis.Joly/>, INRIA / University of Montpellier, LIRMM, ZENITH team, France,, France, alexis.joly(replace-by-an-arrobe)inria.fr Henning Müller <http://medgift.hevs.ch/silverstripe/index.php/team/henning-mueller/>, University of Applied Sciences Western Switzerland in Sierre, Switzerland, henning.mueller(replace-by-an-arrobe)hevs.ch BirdCLEF Stefan Kahl <https://www.birds.cornell.edu/home/staff/stefan-kahl/>, Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, USA, sk2487(replace-by-an-arrobe)cornell.edu> Willem-Pier Vellinga <https://www.xeno-canto.org/contributor/AEFZWKWLMO>, Xeno-Canto foundation for nature sounds, The Netherlands, wp(replace-by-an-arrobe)xeno-canto.org Holger Klinck <https://www.birds.cornell.edu/ccb/holger-klinck/>, Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, USA, holger.klinck(replace-by-an-arrobe)cornell.edu> Tom Denton <https://www.imageclef.org/LifeCLEF2021>, Google LLC, San Francisco, USA, tmd(replace-by-an-arrobe)google.com Hervé Glotin <http://glotin.univ-tln.fr/>, University of Toulon, France, glotin(replace-by-an-arrobe)univ-tln.fr GeoLifeCLEF Titouan Lorieul <https://scholar.google.fr/citations?user=NjbJVB4AAAAJ&hl=en>, University of Montpellier, Inria, LIRMM, titouan.lorieul(replace-by-an-arrobe)inria.fr Elijah Cole <https://elijahcole.me/>, Caltech, Computing and Mathematical Sciences, US, ecole(replace-by-an-arrobe)caltech.edu Benjamin Deneu, INRIA / University of Montpellier, LIRMM, ZENITH team, France, benjamin.deneu(replace-by-an-arrobe)inria.fr Christophe Botella, Université de Grenoble Rhônes Alpes, France, christophe.botella(replace-by-an-arrobe)gmail.com Maximilien Servajean <https://maximiliense.github.io/>, LIRMM – UMPV, Montpellier, France, Maximilien.Servajean(replace-by-an-arrobe)lirmm.fr PlantCLEF Hervé Goëau <http://herve.goeau.free.fr/publications.htm>, Cirad - AMAP, Montpellier, France. Pierre Bonnet, Cirad – AMAP, Montpellier, France, pierre.bonnet(replace-by-an-arrobe)cirad.fr SnakeCLEF Lukas Picek <https://www.sites.google.com/view/picekl>, Dept. of Cybernetics, FAV, University of West Bohemia, Czechia, lukaspicek(replace-by-an-arrobe)gmail.com Andrew Durso <https://www.unige.ch/medecine/isg/en/staff/andrew-durso/>, Department of Biological Sciences, Florida Gulf Coast University, Fort Myers, USA Rafael Ruiz De Castaneda <https://www.unige.ch/medecine/isg/en/staff/rafael-ruiz-de-castaneda/>, University of Geneva, Switzerland, Rafael.RuizDeCastaneda(replace-by-an-arrobe)unige.ch CONTACT -------------------------- For more information or to ask questions, please send an email to lifeclef-org(a)inria.fr Best regards, Alexis Joly Research director at Inria / Univ. of Montpellier / LIRMM Montpellier, FRANCE Donate / Don <https://bit.ly/plantnet-donate>

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DCMI Webinar - __May 19__ (correction) Modeling Intangible Entities in the Cultural Domains for Digital Archiving Inbox
by DCMI Announce 10 May '21

10 May '21

This webinar is scheduled for Wednesday, May 19th, 2021, 21:00 UTC and is free (but registration required). There are a variety of new cultural domains for which we need to design metadata schemas. It is widely recognized that data models are crucial to design metadata schemas – we need to identify objects for which we create metadata. This webinar aims to present a set of generalized data models designed for metadata about resources in cultural domains such as intangible cultural heritage and popular culture. The presenter will first introduce the generalized data models and then discuss data models designed in the Media Arts Database project and related projects in which they are involved. Learning objectives for the webinar * Data Modeling for Digital Archiving of Cultural Entities: Fundamental aspects to model tangible/intangible entities in the cultural domains for organizing them as a digital collection. * Data Modeling for Media Arts (manga (Japanese comics), animation, video games, new media arts and performing arts): Data models as a foundation for metadata schema development in new cultural domains as a case study. * From Item-centric organization to Content-oriented organization of metadata for digital collections: Shift in the organization for digital collections from traditional item-centric resource organization to content-oriented resource organization in the Internet and Linked Open Data environments. About the speaker Shigeo Sugimoto received his BE, ME and PhD degrees from the Department of Information Science, Faculty of Engineering at Kyoto University and specializes in software engineering and computer languages. He joined University of Library and Information Science (ULIS) in 1983. ULIS became the Faculty of Library, Information and Media Science at the University of Tsukuba (iSchool@Tsukuba) after an institutional merger in 2002. He has served as a faculty member for over 35 years in Tsukuba until his retirement in 2019. He is now a professor emeritus at the University of Tsukuba. He first attended Dublin Core Workshop at Canberra in 1997. Since then, he has been actively involved in the Dublin Core Metadata Initiative (DCMI). He is a member of the Governing Board of DCMI. His current research interests are technological and fundamental aspects for metadata in the cultural and historical domains, which include intangible cultural heritage, media arts, sports and natural disasters. Register (free) at https://www.dublincore.org/news/2021/05_06_webinar_modeling_intangible_enti…

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DCMI Webinar, May 20, Modeling Intangible Entities in the Cultural Domains for Digital Archiving
by DCMI Announce 10 May '21

10 May '21

This webinar is scheduled for Wednesday, May 19th, 2021, 21:00 UTC and is free (but registration required). There are a variety of new cultural domains for which we need to design metadata schemas. It is widely recognized that data models are crucial to design metadata schemas – we need to identify objects for which we create metadata. This webinar aims to present a set of generalized data models designed for metadata about resources in cultural domains such as intangible cultural heritage and popular culture. The presenter will first introduce the generalized data models and then discuss data models designed in the Media Arts Database project and related projects in which they are involved. Learning objectives for the webinar * Data Modeling for Digital Archiving of Cultural Entities: Fundamental aspects to model tangible/intangible entities in the cultural domains for organizing them as a digital collection. * Data Modeling for Media Arts (manga (Japanese comics), animation, video games, new media arts and performing arts): Data models as a foundation for metadata schema development in new cultural domains as a case study. * From Item-centric organization to Content-oriented organization of metadata for digital collections: Shift in the organization for digital collections from traditional item-centric resource organization to content-oriented resource organization in the Internet and Linked Open Data environments. About the speaker Shigeo Sugimoto received his BE, ME and PhD degrees from the Department of Information Science, Faculty of Engineering at Kyoto University and specializes in software engineering and computer languages. He joined University of Library and Information Science (ULIS) in 1983. ULIS became the Faculty of Library, Information and Media Science at the University of Tsukuba (iSchool@Tsukuba) after an institutional merger in 2002. He has served as a faculty member for over 35 years in Tsukuba until his retirement in 2019. He is now a professor emeritus at the University of Tsukuba. He first attended Dublin Core Workshop at Canberra in 1997. Since then, he has been actively involved in the Dublin Core Metadata Initiative (DCMI). He is a member of the Governing Board of DCMI. His current research interests are technological and fundamental aspects for metadata in the cultural and historical domains, which include intangible cultural heritage, media arts, sports and natural disasters. Register (free) at https://www.dublincore.org/news/2021/05_06_webinar_modeling_intangible_enti…

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DCMI/ASIS&T webinar about Data Documentation Initiative (DDI) on April 21
by DCMI Announce 06 Apr '21

06 Apr '21

Date: Wednesday, April 21st, 2021 Tim: 14:00 UTC (convert to your local timezone [1]) Presenters: - Jane Fry, Data Services Librarian, Carleton University - Arofan Gregory, Independent Consultant - Jared Lyle, Executive Director, DDI Alliance and Archivist, ICPSR, University of Michigan - Barry Radler, Distinguished Researcher, University of Wisconsin-Madison The webinar will discuss the Data Documentation Initiative (DDI) standard for describing the data produced by surveys and other observational methods in the social, behavioral, economic, and health sciences, with an emphasis on DDI-Codebook and DDI-Lifecycle. DDI-Codebook is a light-weight version of the standard, intended primarily to document simple survey data. DDI-Lifecycle is designed to document and manage data across the entire life cycle, from conceptualization to data publication, analysis and beyond. It encompasses all of the DDI-Codebook specification and extends it to more complex, linked, and longitudinal data. Based on XML Schemas, DDI-Lifecycle is modular and extensible. The presentation will also briefly discuss the DDI Alliance organizational structure, as well as products currently under development. The learning objectives for the webinar are: - To understand DDI-Codebook, including when and how to use it. - To understand DDI-Lifecycle and an applied example. - To understand how the DDI Alliance organization maintains the DDI metadata standard. The webinar is free for DCMI members. For further information, including instructions on how to join as a DCMI member, see [2]. [1] https://www.timeanddate.com/worldclock/fixedtime.html?msg=DCMI+Webinar%3A+I… [2] https://www.dublincore.org/news/2021/02-18-webinar-introduction-to-ddi/

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