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Job: Head of Biodiversity Informatics and Data Science, Yale Peabody Museum
by Jetz, Walter 11 Sep '17

11 Sep '17

The Yale Peabody Museum of Natural History (YPM) and Yale University invite applications for a data scientist to help develop and advance the innovative use of informatics tools for the synthesis and utilization of biodiversity information in research and education. The YPM is among the oldest, largest, and most active university natural history museums in the world. The museum has a strong track record in specimen digitization and database efforts and in contributing to national biodiversity informatics initiatives. The university hosts a range of activities in biodiversity data science and global change, including the Max Planck Yale Center of Biodiversity Movement and Global Change and digital infrastructure projects addressing global phylogenies, remote sensing, and species distributions (Map of Life). The Head of Biodiversity Informatics and Data Science is expected to support the development of an expanded vision for biodiversity- and specimen-based informatics that links the YPM scientific divisions and other university activities with the goal of developing national and international leadership roles in this arena. Responsibilities include: advancing the innovative use of informatics tools for the synthesis and utilization of biodiversity information in research and education; setting priorities and developing plans and initiatives related to Biodiversity Informatics and Data Science; partnering in the development of grant proposals for funding of informatics and data science projects; facilitating interdisciplinary collaborations and research programs at the museum, University, and national and international levels; serving as a liaison and/or representative of YPM and its partner projects. We seek an outstanding applicant working in any area of ecology, evolution, or paleobiology, and with demonstrated informatics expertise and a passion for contributing to this vision. A record of outstanding achievement and a promising research program are more important than the specific scientific area. While developer skills (below) are required, we seek candidates with active research programs and a strong record in obtaining funding in this area. We expect candidates to bring a range of skills spanning software and database development, and to specifically have the following qualifications: - Experience in taxonomic integration, such as familiarity with concepts and tools addressing taxonomic harmonization. - Familiarity with taxonomic naming concept management and formal knowledge representation addressing ontologies and semantics. - Experience with Web GIS development. - Experience in relational database management and SQL, with Postgres/PostGIS experience particularly welcome. - Experience with API development. - Programming skills in Python and R required; JavaScript and Java a plus. - Experience in R package development. - Background in cloud architecture, cloud data flows and pipelines. Preferred Education, Experience and Skills: Ph.D. in the natural sciences or computer sciences. Experience in planning, development, and implementation of biodiversity informatics projects or equivalent combination of education and experience. Competency in innovative approaches for data integration and data fusion. Previous experience with highly technical and collaborative projects. Application: To apply, please go to http://bit.ly/2fGpt34. The review of applications will begin 2 October 2017; the search will remain open until the position is filled. Yale University offers exciting opportunities for achievement and growth in New Haven, Connecticut. Conveniently located between Boston and New York, New Haven is the creative capital of Connecticut with cultural resources that include three major museums, a critically-acclaimed repertory theater, state-of-the-art concert hall, and world-renowned schools of Architecture, Art, Drama, Forestry & Environmental Studies and Music. We invite you to discover the excitement, diversity, rewards and excellence of a career at Yale University. One of the country's great workplaces, Yale University offers exciting opportunities for meaningful accomplishment and true growth. Our benefits package is among the best anywhere, with a wide variety of insurance choices, liberal paid time off, fantastic family and educational benefits, a variety of retirement benefits, extensive recreational facilities, and much more. Yale University considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Yale discriminate on the basis of sexual orientation or gender identity or expression. Walter Jetz Ecology and Evolutionary Biology, Yale University Yale School of Forestry & Environmental Studies Director, Yale Center for Biodiversity and Global Change Yale University, 165 Prospect Street, New Haven, CT 06511, USA Phone: +1-203-432-7540; Email: walter.jetz(a)yale.edu; URL: http://jetzlab.yale.edu

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Workshop: NKOS at DC-2017
by DCMI Announce 09 Sep '17

09 Sep '17

********PLEASE EXCUSE THE CROSS-POSTING******** *NKOS at DC-2017* *Full-day Workshop at DC-2017, Washington, DC, 26-29 October 2017* _______________________________________________ *:: Workshop Facilitators:* *Joseph Busch*, *Taxonomy Strategies* *Gail Hodges*, *Information International Associates* *:: Time:* 8:30-5:30 DST *:: Date:* 28 October 2017 *:: Session Homepage:* http://dcevents.dublincore.org/IntConf/index/ pages/view/sp17-nkos *:: Registration:* http://dcevents.dublincore.org/IntConf/index/ pages/view/reg17 *Early registration ends Friday, 15 September 2017. * *Register now and save! * *Full conference and day rates are available.* _______________________________________________ SESSION DESCRIPTION: The 11th U.S. Networked Knowledge Organization Systems (NKOS) Workshop will include: (1) Presentations, typically 20 minutes plus discussion time on work related to the themes of the workshop (see below); and (2) Demonstration on work related to the themes of the workshop. WORKSHOP PRESENTERS: *Courtney R. Butler*, *Federal Reserve Bank of Kansas City* *Joseph Busch*, *Taxonomy Strategies* *Julaine Clunis*, *Kent State University* *Brett D. Currier*, *Federal Reserve Bank of Kansas City* *Susan Pick Dubas*, *World Bank* *Paul Groth*, *Elsevier Labs* *Diane Hillman*, *Metadata Management Associates* *Marjorie Hlava*, *Access Innovations* *Gail Hodge*, *Information International Associates* *Tao Hu*, *Kent State University* *Michael Lauruhn*, *Elsevier Labs* *Sujit Pal*, *Elsevier Labs* *Cristina Pattuelli*, *Pratt Institute* *Jon Phipps*, *Metadata Management Associate*s *Denisa Popescu*, *World Bank* *Jian Qin*, *Syracuse University* *Hannah Sistrunk*, *Pratt Institute* *Dagobert Soergel*, *SUNY Buffalo* *Joseph Tennis*, *University of Washington* *Nicholas Weber*, *University of Washington* *Marcia Zeng*, *Kent State University* For additional information about the workshop, presentations and to register, visit the conference website at http://dcevents.dublincore. org/index.php/IntConf/dc-2017.

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Public review - metadata for HTS libraries based on the GGBN Data Standard - deadline 22. September 2017
by Dröge, Gabriele 23 Aug '17

23 Aug '17

Dear colleagues, Last year the Global Genome Biodiversity Network (GGBN, http://www.ggbn.org ) has published the GGBN Data Standard, which covers terms related to DNA and tissue samples (https://terms.tdwg.org/wiki/GGBN_Data_Standard, Droege et al. 2016 (https://library.ggbn.org/share/s/E3qbuKsJSwaI67IWItXCKw)). Many of you were part of the public revision process. In addition to genomic DNA the development and use of high-throughput next generation sequencing (HTS) have outstripped current plans of SYNTHESYS (http://www.synthesys.info) and GGBN to join natural history (NH) collection data with DNA and tissue collection data. HTS libraries can be considered a preparation of the genetic material of an organism(s), the actual physical molecular representation of a collection/specimen. These libraries come with specific adaptors that limit their transferability to other sequencing systems. They are prepared at great expense, but usually are only used for a single project, whilst a great deal of additional useful information may be available within these libraries. To increase the potential of the HTS libraries to be used for multiple projects they would need to be discoverable and metadata information made available. HTS library searches require the metadata to be queried on specific standardized keywords (by e.g. organism, HTS method etc.). HTS library parameters already in the GGBN Data Standard have been reviewed and augmented in order to incorporate library metadata of existing as well as future techniques. This is being realized by preparation of use-cases incorporating a range of different HTS techniques (e.g. whole genome shotgun sequencing, RADseq sequencing, single molecule MinIon sequencing). The result is a set of terms dedicated to library preparation including the pipeline parameters. Use cases are available in the GGBN Sandbox and will kept stable for at least three years. (http://wiki.ggbn.org/ggbn/Use_Cases_HTS_library_samples) Now we are kindly seeking your help with reviewing the terms and also ask for your general feedback on this initiative. GGBN does not want to reinvent the wheel, but work together with other organisations and initiatives, such as MIxS, GBIF, BOLD, INSDC. The template with the proposed HTS terms can be found in our Document Library (https://library.ggbn.org/share/s/dbHuLYuGQOiv5v8avKhhPw) for your review. We would appreciate if you could send the filled out excel sheet back before 22. September 2017 to support(a)ggbn.org<mailto:support@ggbn.org>. We are planning to present the results at TDWG 2017. This email text can also be found in our wiki: http://wiki.ggbn.org/ggbn/HTS_Public_Consultation Please feel free to forward this email to interested colleagues. With Warm Regards, Gabi Droege Technical Manager, Global Genome Biodiversity Network Botanic Garden and Botanical Museum Berlin-Dahlem Berlin, Germany And Katie Barker Program Manager, Global Genome Initiative and Global Genome Biodiversity Network National Museum of Natural History Smithsonian Institution [cid:image002.png@01D0C941.7EB85050]

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automated response
by Christy Semmens 21 Aug '17

21 Aug '17

Thank you for your message. I am out of the country leading a REEF Field Survey Trip to the Sea of Cortez. I will not have any internet access until August 26. I will respond to your message as soon as possible after that. If you need immediate assistance, please contact one of my colleagues at REEF (see http://www.REEF.org/about/staff). And don't hesitate to send me a follow-up email after my return. Thank you. Christy Pattengill-Semmens, REEF Director of Science

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DC-2017 Workshop - Metadata 2020: Accelerating Scholarly Discovery
by DCMI Announce 20 Aug '17

20 Aug '17

********PLEASE EXCUSE THE CROSS-POSTING******** *Metadata 2020: Accelerating Scholarly Discovery* * Half Day Workshop at DC-2017, Washington, DC, 26-29 October 2017* *==================================================* *:: Workshop Facilitators:* *Clare Dean*, *Community Outreach Manager, Metadata 2020* *Chuck Kosher*, *Director of Technology, Crossref* *Patricia Feeney*, *Product Support Manager, Crossref* *:: Time:* 8:30-12:30 DST *:: Date:* Saturday, 28 October 2017 *:: Session Homepage: * http://dcevents.dublincore.org/IntConf/index/pages/view/sp17-2020 *:: Registration:* http://dcevents.dublincore.org/IntConf/index/pages/view/reg17 *Early registration ends 15 September 2017. **Register now and save! * *Full conference and day rates are available.* *==================================================* SESSION DESCRIPTION: All of those who are involved in scholarly communications have the same end goal: to conduct, facilitate and/or communicate research, and have that research be discoverable. Whether they’re funders, authors, preprint servers, publishers, libraries, repositories; or the numerous tools seeking to add value through search, discovery, annotation, or analyses; so many of these organizations contribute along the way but often important details get mistyped, misrepresented, or missed out entirely. We all face the same problem—how to include as much useful information as possible. This includes basic information but also license information, funding/grant data, ORCID iDs, organization IDs, clinical trial data, and—along the way—corrections and retractions. How can we manage the efficient entry and use of clean and complete metadata, in a way that can grow and permeate through other systems usable by all in the scholarly communications chain? We envision a future with better metadata, not only increasing discoverability of content, but also benefiting reputation management, attribution, discoverability, efficiency, data reproducibility and reusability, in addition to future services that don’t yet exist! A group of organizations (including Crossref, DataCite, ORCID, OpenAIRE, California Digital Library, Wikimedia, OCLC among others) have come together to rally the community around this critical issue in scholarly communications: sharing richer metadata. Metadata 2020 is a collaboration that advocates richer, connected and reusable metadata for all research outputs with the understanding that: - Richer metadata fuels discoverability and innovation; - Connected metadata bridges the gaps between systems and communities; - Reusable metadata eliminates duplication of effort. We seek input from librarians, publishers, aggregators, service providers, funders, data repositories and researchers, to share user stories and insights about the journey that metadata takes, and to help prioritize goals and tactics for Metadata 2020. Metadata 2020 is a campaign that is bigger than just one organization or sector, but a collective responsibility shared by us all. This workshop invites contributions from specialists in the librarian community to help advance the library element of a metadata maturity model. This element will contribute to a larger maturity model in service of the wider scholarly communications community. WORKSHOP FACILITATORS: *Clare Dean*, *Community Outreach Manager, Metadata 2020* Clare Dean is the Community Outreach Manager for the advocacy campaign Metadata 2020, founded by a number of organizations including Crossref, DataCite, and ORCID. She is a publishing consultant for publishers and service providers with over 12 years experience in the scholarly publishing industry. *Chuck Kosher*, *Director of Technology, Crossre*f Chuck Koscher has been the Director of Technology for Crossref since 2002. His primary responsibility has been the development and operation of Crossref’s core services and technical infrastructure. As a senior staff member, he also contributes to the definition of Crossref’s mission and the expansion of its services such as the launch of Funding Data (formerly known as FundRef). His role includes management of technical support and back-end business operations. Chuck and his team interface directly with publisher members in dealing with issues affected by new or evolving industry practices such as those involving non-journal content like books, standards and databases. Chuck has been active within the industry having served 9 years on the NISO board of directors, and a participant in initiatives such as the NISO/NFAIS Best practice in Journal Publishing and NISO’s Supplemental Material Working Group. Prior to Crossref Chuck has over 20 years in software engineering experience primarily in the aerospace industry. *Patricia Feeney*, *Product Support Manager, Crossref* Patricia Feeney oversees Product Support and has been at Crossref for 10 years. She's also worked in publishing and as a systems librarian and cataloger and knows a lot about metadata. *For additional information about the workshop and to register, visit the conference website at http://dcevents.dublincore.org/index.php/IntConf/dc-2017 <http://dcevents.dublincore.org/index.php/IntConf/dc-2017>.*

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DC-2017 Special Session: Linked Data for Production (LD4P)
by DCMI Announce 12 Aug '17

12 Aug '17

********PLEASE EXCUSE THE CROSS-POSTING******** *Linked Data for Production (LD4P): Technical services workflow evolution through Tracer Bullets* *Special Session at DC-2017, Washington, D.C., 26-29 October 2017* ======================================= *:: Stanford University Presenters: * *Arcadia Falcone*, *Metadata Coordinator* *Josh Greben*, *Systems Programmer/Analyst* *Nancy Lorimer*, *Head, Metadata Department* * Christina Harlow*, *Digital Repository, Data Operations* * Philip Schreur*, *Associate University Librarian for Technical and Access Services* *:: Time:* 1:30-3:00 DST *:: Date:* Thursday, 26 October 2017 *:: Session Homepage:* http://dcevents.dublincore.org/IntConf/index/pages/view/sp17-ld4p *:: Registration:* http://dcevents.dublincore.org/IntConf/index/pages/view/reg17 ======================================= SESSION DESCRIPTION: Linked Data for Production (LD4P) is a Mellon-supported collaboration between six institutions (Columbia, Cornell, Harvard, Library of Congress, Princeton, and Stanford) to begin the transition of technical services production workflows to ones based in Linked Open Data (LOD). This first phase of the transition focuses on the development of the ability to produce metadata as LOD communally, the enhancement of the BIBFRAME ontology to encompass the multiple resource formats that academic libraries must process, and the engagement of the broader academic library community to ensure a sustainable and extensible environment. As its name implies, LD4P is focused on the immediate needs of metadata production such as ontology coverage and workflow transition. The focus of LD4P is on the identification, evaluation and adaption of existing viable tools to immediate production needs. A related project, LD4L-Labs, focuses on solutions that can be implemented in production at research libraries within the next three to five years. Their efforts focus on the enhancement and development of existing or new linked data creation and editing tools, exploration of linked data relationships, analysis of the graph to directly improve discovery, BIBFRAME ontology development, piloting efforts in URI persistence, and metadata conversion tool development needed by LD4P and the broader library community. As part of LD4P, Stanford is leading the development of a Performed Music Ontology and is converting four key technical services production pathways from MARC-based to RDF-based in a project called the Tracer Bullets. In this panel, we will discuss our work on these projects, highlighting achievements and difficulties of current efforts, as well as plans for future work. In this panel, we plan to discuss our work on these projects, highlighting achievements and difficulties of current efforts, as well as plans for future work. On the Performed Music Ontology, we will discuss our work on extending BIBFRAME 2 with community input to better support description of music artifacts. With regards to the “Tracer Bullets”, we will go through the progress on our four designated end-to- end pathways: vendor-supplied copy-cataloging (Tracer Bullet 1); original cataloging (Tracer Bullet 2); deposit of a single item to the Digital Repository (Tracer Bullet 3); and ingestion of a collection into the Digital Repository (Tracer Bullet 4). We have examined each of these pathways, from acquisition to discovery. Based on that analysis, we are converting all key elements in those workflows to a process rooted in linked data, balanced with the current needs and resources of the systems interacting with those pathways. Our emphasis is on the completeness of the pathway, and we plan for the workflows themselves to be expanded in the future to account for additional complexities and fully leveraging the capabilities of the RDF data models once our initial pathway has been established. For these tracer bullet pathways, Stanford is developing parallel processing streams. Resources flowing through these pathways will be processed in the traditional way with MARC or MODS-based metadata. A parallel, linked data workflow will be created for LD4P and duplicative metadata created. This metadata currently feeds into a parallel discovery environment so that we mimic the entire processing workflow. The metadata can also be sent to various library vendors and programs so that they can begin to adjust their businesses to incorporate linked data. Although this solution requires duplicative effort, it will allow Stanford to experiment with an alternative pathway without being dependent on the results for discovery. It also has the benefit of testing the new pathway with actual library resources and staff so that a true measure of effort and cost to implement the new paradigm can be evaluated. LD4P has completed the first year of its two-year grant and has made substantial process on the Tracer Bullets. In our panel presentation, we’d like to focus on five main areas: PANEL PRESENTATIONS: *Introduction: General information on the goals of LD4P and its context in the current library technical services paradigm* Philip Schreur, *Associate University Librarian for Technical and Access Services* *Workflow analysis for Tracer Bullets 1 & 2 including the testing of Tracer Bullet 1 with actual library data* Arcadia Falcone, *Metadata Coordinator* *MARC Data Enhancement and Conversion: Suggestions for enhancements to MARC data to make their conversion to RDF cleaner and our testing of MARC to BIBFRAME 2.0 conversion* Josh Greben, *Systems Programmer/Analyst* Nancy Lorimer, *Head, Metadata Department* *Tooling: Experimentation with current tools available to support Tracer Bullets 1 & 2 along with their enhancement and new tool development* Josh Greben, *Systems Programmer/Analyst* Nancy Lorimer, *Head, Metadata Department* *Digital Repository: Initial exploration of Tracer Bullets 3 & 4 and their implications for the Stanford Digital Repository* Christina Harlow, Digital Repository, Data Operations

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DC-2017 Full Day Session - Taming the Graph: Profiles over Linked Data
by DCMI Announce 09 Aug '17

09 Aug '17

********PLEASE EXCUSE THE CROSS-POSTING******** *Taming the Graph: Profiles over Linked Data* *Full day session at DC-2017, Washington, D.C., **26-28 **October 2017* * Day registration rates available* *===============================================* *:: Presenters: * *Tom Baker*, *DCMI* *Karen Coyle*, *Consultant* *Stefanie Rühle*, *SUB Goettingen* *Kirk Hess*, *Library of Congress* *Mariana Malta*, *Polytechnic of Oporto* *Eric Prud'hommeaux*, *World Wide Web (W3C)* *Gregg Kellogg*, *Semantic Media Consultant* *Paul Walk*, University of *Edinburgh* *:: Time:* 8:30am - 5:30pm EDT *:: Date:* Friday, 27 October 2017 *:: Session Homepage:* http://dcevents.dublincore.org/IntConf/index/pages/view/sp17-taming *:: Registration:* http://dcevents.dublincore.org/IntConf/index/pages/view/reg17 *===============================================* *SESSION DESCRIPTION:* The idea of application profile was proposed at a Dublin Core workshop in 2000 as a way to customize metadata for specific application domains, mixing-and-matching multiple metadata vocabularies as needed, and to share these customizations within communities of practice. This day-long event will start with a look back at how the discourse around profiles has evolved since 2000, then it will examine new technologies that can help us tame the boundless sea of Linked Data with controlled metadata. This event is sponsored by the DCMI, which participates in W3C efforts to develop standards relevant to profiles and seeks direction for its future work, and by LD4, a coordinated program to advance the use and utility of linked data in research and cultural heritage organizations, especially libraries. *We ask the following questions:* - Can Linked Data conceptualization and design be enhanced with metadata profiles? - How can profiles provide different views: data validation vs discovery, strict vs tolerant? - How can we express profiles for processing by machines? - How can we publish profiles for human consumption? *PRESENTERS:* *Morning Session 1: The Role of Profiles (90 min)* *"Application Profiles" since DC-2000* Tom Baker, DCMI * Pieces of the profile puzzle* Karen Coyle, Consultant *Profiles and Data Quality* Stefanie Rühle, SUB Goettingen * Morning Session 2: Developing and Using Profiles (90 min)* *Requirements for BIBFRAME profiles* Kirk Hess, Library of Congress *Structured methods for developing profiles* Mariana Malta, Polytechnic of Oporto *Agile, data-driven methods for developing profiles* Eric Prud'hommeaux, World Wide Web (W3C) *Discussion* *Afternoon Session 1: Expressing and Profiling Data (90 min)* *JSON-LD: The data syntax and its uses* Gregg Kellogg, *Semantic Media Consultant* *ShEx: the Shapes Expression Language* Eric Prud'hommeaux, World Wide Web (W3C) *Afternoon Session 2: Sharing profiles (90 min)* *Documenting profiles and vocabularies on the Web* Paul Walk, Edinburgh University * Maintaining RDF vocabularies in spreadsheets* Gregg Kellogg, *Semantic Media Consultant* *Answering the questions posed* Conference participants are free to attend any or all sessions or parts of sessions. The event assumes familiarity with the basic concepts of RDF and Linked Data. Participants will get more out of Afternoon Session 1 if they prepare beforehand by reading (or watching videos) about JSON-LD [1] and by perusing the ShEx Primer [2]. [1] https://json-ld.org/learn.html [2] http://shex.io/shex-primer

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GGBN Researcher/Software Developer Job Opening - Botanic Garden and Botanical Museum Berlin
by Dröge, Gabriele 20 Jul '17

20 Jul '17

Dear Colleagues, Please see the job description for a Researcher/Software Developer for the Global Genome Biodiversity Network (GGBN) below. This 16 month term position will be located at the Botanic Garden and Botanical Museum Berlin. Applications are due by August 7th 2017. Please feel free to distribute this announcement as you see fit. We very much look forward to adding another member to the GGBN team. ______________ Freie Universität Berlin ZE Botanic Garden and Botanical Museum Berlin Researcher/Software Developer GGBN 2020 The Research Group Biodiversity Informatics (http://bgbm.org/en/biodiversity-inform<http://bgbm.org/en/biodiversity-informatics)>atics)<http://bgbm.org/en/biodiversity-informatics)> at the Botanic Garden and Botanical Museum Berlin, Freie Universität Berlin has an opening for a Researcher/Software Developer - German federal salary level EG 13 TV‐L FU, 100% (Scientist/Senior Scientist). 1 September 2017 limited until 31 December 2018, project-linked funds Job description Evaluation and revision of the GGBN software architecture (http://www.ggbn.org). Evaluation and development of automated and semi-automated updating of the GGBN-Index (SOLR). Evaluation and development of data quality functions. Development of web-service interfaces between technical components of the GGBN platform. The BGBM's “Research and Development Group Biodiversity Informatics and Scientific Information Systems” is a leading institution for biodiversity informatics research with numerous national and international projects (BMBF, DFG, BMU, EU). The interdisciplinary team consists of computer scientists, biologists, bioinformaticians, and engineers. Important research topics include information modelling and standardisation of Meta data, networking of primary biodiversity data, and taxonomic computing. Requirements The candidate must have a university degree (Master/Diploma) in computer science, bioinformatics, or a similar scientific discipline. Desirables · Very good knowledge of indexing technologies (e.g. SOLR, Lucene). · Good knowledge of object‐oriented information modelling. · Very good knowledge of Java and PHP. · Experience with relevant frameworks such as Spring, Hibernate, Maven, and Yii. · Very good English communication skills. · A familiarity with the relevant scientific biodiversity informatics data standards as well as experience with collaborating in a transnational development project is also advantageous. Applications accompanied by cover letter, tabular CV, and proof of degree should be submitted by 7.8.2017 electronically by email (Ref. GGBN‐2020) to av-p[at]bgbm.org or in paper form by mail to Freie Universität Berlin, Zentraleinrichtung Botanischer Garten und Botanisches Museum Berlin‐Dahlem, ‐ AV ‐, Ref. GGBN‐2020, Königin‐Luise‐Str. 6‐8, 14195 Berlin, Germany The FUB adheres to the German disability guidelines and is an Affirmative Action/Equal Opportunity Employer. Applications from women are especially encouraged. _____________________________ With Warm Regards, Katie Barker Program Manager, Global Genome Initiative and Global Genome Biodiversity Network National Museum of Natural History Smithsonian Institution MRC 106, PO Box 37012 Washington DC 20013-7012 Tel: 202-633-2460 [cid:image002.png@01D0C941.7EB85050][GGI logoNoTextBlack] We encourage you to promote any or all of our posts on Facebook and Twitter! Twitter: https://twitter.com/GGBNOutreach Facebook: https://www.facebook.com/ggbnoutreach

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Submission deadline EXTENDED for the BigDig: High-Throughput Digitization for NHC
by Nicole.Fisher＠csiro.au 03 Jul '17

03 Jul '17

BigDig: High-Throughput Digitization for Natural History Collections (BigDig 2017) held as part of eScience 2017, Auckland, NZ, October 2017 http://press3.mcs.anl.gov/bigdig/ *********** DEADLINE EXTENDED: 14 JULY 2017 *********** ======================================================================== The BigDig workshop (http://press3.mcs.anl.gov/bigdig/) will be held on 24 October 2017 in conjunction with the 13th IEEE International Conference on eScience, Auckland, New Zealand. It will focus on high-throughput digitization, driven by the keen need to move the world's physical collections into the digital realm where they are safer from the ravages of time, can be used by larger numbers of scientists and the public, and can contribute in new ways to the study of biodiversity. Topics of interest include but are not limited to: * Digitization technologies for high-throughput 2D and 3D capture of collection objects * Instrumentation strategies and algorithms * Specimen handling, label information capture, OCR, crowd-sourced label transcription, 3D reconstruction * Digitization requirements, metadata, image and 3D fidelity, time and resource constraints, speed * Workflows for high-throughput digitization of natural history collections * Data management for large and perhaps distributed digital collections of such data * Interface requirements, issues, and solutions both for scientific research and for public outreach to extremely large virtual collections * Applications of the resulting data resource to potentially new science and approaches as evidenced by theoretical models, case studies, parallels with existing similar data resources There is a wealth of untapped potential captured in the animal and plant collections held by museums of natural history around the world. Novel discovery processes will be catalyzed by the existence of large, curated, inter-comparable digital collections of specimen data. However, it has been noted that current methods may not be able to digitize the existing backlog of an estimated ~1.5 billion specimens, distributed across 1000+ collections, in the next 30 years or more. Obtaining information on labels of 500 million entomological specimens is particularly challenging. It may even be impossible to keep up with the rate of expansion of these collections as new specimens are added. Despite successful ongoing efforts, more needs to be done in terms of technology development across the ingest pipeline in order to meet this daunting challenge. Therefore, it is important and timely that a workshop of practitioners continues to expand upon discussion of how to advance the technology of high-throughput specimen digitization and ingest to match the requirements of this complex but ultimately richly rewarding problem. ---------------------------------------------------------------------------------------------- Authors are invited to submit unpublished, original work, using the IEEE 8.5 x 11 manuscript guidelines: double-column text using single-spaced 10-point font on 8.5 x 11 inch pages. Templates are available from http://www.ieee.org/conferences_events/conferences/publishing/templates.html. We will be accepting submissions for: * Full research papers for oral presentation (up to 10 pages) will focus on new research achievements in high throughput digitization methods, technologies, and applications. * Experience papers for oral presentation (up to 10 pages) will focus on practical outcomes of applying high throughput digitization to existing collections. * Poster submissions may focus on early stage results with the aim of fostering exchange of ideas and professional networking (up to 2 pages). IMPORTANT NOTE: Posters will be submitted directly thru the main eScience conference: http://escience2017.org.nz/submissions/call-for-papers/. Authors of papers (not posters) should submit a PDF to https://easychair.org/conferences/?conf=bigdig2017. It is a requirement that at least one author of each accepted paper attend the conference. Important Dates (midnight anywhere on Earth): * Submission Due: Friday, 14 July 2017 **** NEW *** * Notification of Acceptance: Friday, 11 August 2017 **** NEW *** * Camera Ready Due: Friday, 15 August, 2017 **** NEW *** BigDig 2017 proceedings will be included in the eScience 2017 proceedings to be published by the IEEE Computer Society Press, USA and made available online through the IEEE Digital Library. Contact: All questions about submissions should be emailed to bigdig-info(a)lists.mcs.anl.gov<mailto:bigdig-info@lists.mcs.anl.gov>

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Submission deadline EXTENDED for the NKOS Workshop at DC-2017
by DCMI Announce 02 Jul '17

02 Jul '17

==========Please excuse the cross-posting========== *NKOS Workshop at DC-2017: Call for Participation Extended* The 11th U.S. Networked Knowledge Organization Systems (NKOS) Workshop will take place on Saturday, October 28 as part of DC-2017 in Crystal City, VA (Washington, D.C.). Proposals are invited for Presentations and Demos. *Important Dates:* *EXTENDED* *Submission deadline:* Monday, July 18, 2017 *Notification of acceptance:* Tuesday, August 15, 2017 *Submission:* For more information and to submit a proposal, please visit the NKOS Call for Participation at http://dcevents.dublincore.org/IntConf/index/pages/view/nkosCall on the DC-2017 website. *Workshop Themes:* Research Data Management (RDM). NKOS welcomes presentations that focus on the knowledge organization issues related to controlled vocabularies, name authority, taxonomy, and other KOS to enable access to collections, e.g., in order to be able to replicate scientific results. What are the KOS requirements related to data storage and preservation; and communication, coordination and collaboration to support librarian and researcher needs? Aggregation. The objective of linked open data is to provide distributed access to vocabularies and content that uses vocabularies. Actually using vocabularies to aggregate distributed content is a special case that reconstructs collections that are now dispersed. Examples include Renaissance artist sketchbooks, natural history collections from enlightenment humanists, etc. Metadata Enrichment. This theme relates to reusing existing metadata sources and adding additional controlled vocabularies, name authority, taxonomy, and other KOS to create new resources. E.g., building a new data resource based on selecting content from the Code of Federal Regulations and enriching the collection by adding new vocabularies. Authority Control. How does authority control work in a global linked data community? What agencies should and are willing to be responsible for the names of public agencies, companies, subsidiaries, brands and trademarks, and artists who constitute a national group based on birth place and/or area of activity. Metrics and Quality. How are controlled vocabularies, name authority, taxonomy and other KOS quantified and qualified? What are the appropriate dimensions of use and validation. Does Google Analytics have a role? Are there other methods and practical applications? Life Cycle Management. What is the common lifecycle of terms within controlled vocabularies, name authority, taxonomy and other KOS? What are the downstream impacts and best practices for handling of vocabulary changes? *Program Committee:* - Joseph Busch, Taxonomy Strategies - Jane Greenberg, Drexel University - Diane Hillmann, Metadata Management Associates - Gail Hodge, Information International Associates - Kathryn La Barre, University of Illinois at Urbana-Champagne - Jian Qin, Syracuse University - Dagobert Soergel, University at Buffalo - Joseph Tennis, University of Washington - Diane Vizine-Goetz, OCLC Research - Marcia Zeng, Kent State University

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