July 2017 - tdwg - lists.tdwg.org

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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