Rukaya Sarah Johaadien

• Lieungh, Eva; Bjureke, Kristina; Evju, Marianne; Johaadien, Rukaya Sarah; Olsen, Siri Lie & Skarpaas, Olav [Show all 8 contributors for this article] (2022). Presence-absence of plant habitat specialists in 15 patches of dry calcareous grassland. Biodiversity Data Journal. ISSN 1314-2836. 10. doi: 10.3897/BDJ.10.e94057. Full text in Research Archive

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• Johaadien, Rukaya Sarah (2023). AI seminar.
• von Mering, Sabine; Braun, Paul Jean-Charles; Cubey, Robert W. N.; Groom, Quentin; Haston, Elspeth M. & Hendriksen, Anikka [Show all 12 contributors for this article] (2023). Modelling research expeditions in Wikidata: best practice for standardisation and contextualisation. Biodiversity Information Science and Standards (BISS). ISSN 2535-0897. 7. doi: 10.3897/biss.7.111427. Show summary

  Expeditions and other collecting events are a major source of objects in natural history museums (e.g., Mesibov 2021). Historically, these trips were often transdisciplinary: biological and Earth science specimens were collected at the same time as ethnological or anthropological objects. As a result, specimens and other material gathered during the same expedition, as well as the related data and metadata, are often distributed across multiple institutions. Many expeditions were driven by colonial agendas, aiming to discover new resources to exploit, and their findings were seldom shared with the source countries and local people. Understanding these expeditions illuminates the colonial origins of museum collections, and contributes to recognizing and addressing their impacts (e.g., Das and Lowe 2018, Ashby and Machin 2021).

• Johaadien, Rukaya Sarah; Endresen, Dag & Torma, Michal (2022). An Update on Persistent Identifiers in Norwegian Biodiversity Data. Biodiversity Information Science and Standards (BISS). ISSN 2535-0897. doi: 10.3897/biss.6.91585. Show summary

  Persistent identifiers (PIDs) are reference keys to pieces of digital information or digital objects (Meadows and Haak 2018). PIDs are long-lasting, trustworthy and ideally globally unique, allowing information to be unambigiously associated with a digital object. This allows, for example, collection objects to be annotated with data (e.g., improved geographic coordinates) from different web services and databases (Page 2008). In 2014, Norway began an initiative to provide all museum specimens at the University of Oslo's Natural History Museum (UiO NHM) with PIDs persistent and globally unique identifiers (PIDs) in the form of universally unique identifiers (UUIDs) prefixed by a persistent uniform resource locator (PURL) (Endresen and Svindseth 2014). This poster provides an update of progress made in this endeavor, and details the technical set up and workflow, as well as problems encountered and reflections on the process. So far, roughly 40% of UiO NHM's collections have PIDs entered in the Darwin Core materialSampleID field for the collections management system. The main technical problem has been in configuring the PURL service to set up redirects correctly. In the future, we plan to migrate from PURLs to the Handle system which provides identifiers for digital objects, or to using DOIs (Digital Object Identifiers), which are an implementation of the Handle system (Paskin 2017).

• Marsden, Luke; Endresen, Dag; Johaadien, Rukaya Sarah; Torma, Michal & Altenburger, Andreas (2022). Nansen Legacy - Marine data publishing workshop in Tromsø in September 2022. Show summary

  Nansen Legacy (AeN) 3-day workshop to publish marine biodiversity data from the AeN project as Darwin Core Archives on September 20-22, 2022. With support from the Norwegian Global Biodiversity Information Facility (GBIF) node, and the Ocean Biodiversity Information System (OBIS, EurOBIS). https://www.gbif.no/events/2022/nansen-legacy-tromso.html

• Johaadien, Rukaya Sarah; Torma, Michal; Rindal, Eirik & Barotov, Samariddin (2022). CESP mentoring - data publication and digitisation course for Tajikistan September 2022. Show summary

  GBIF data mobilization and publication course for the Tajikistan GBIF Node at the Institute of Botany, Plant Physiology and Genetics, Tajikistan National Academy of Sciences, Armenia (3 days). https://www.gbif.no/events/2022/cesp-tajikistan.html https://www.gbif.org/project/CESP2022-001/

• Endresen, Dag; Russell, Laura Anne; Schigel, Dmitry; Prylutskyi, Oleh; Johaadien, Rukaya Sarah & Torma, Michal [Show all 11 contributors for this article] (2022). Four-day program on open biodiversity data publishing and high-level data paper publishing, online for Ukraine in August 2022. Show summary

  Regional training course for M.Sc. and Ph.D. students from Ukraine with expert trainers and trainers-in-training, Tuesday 16 to Friday 19 August 2022. Plus preparatory assignments from 1st to 12th August, and post-course assignments from 22nd August to 3rd September. Successful attendees will be issued a certificate of attendance corresponding to 2 ECTS and a digital GBIF Certified Trainer badge. This training model has been tested in the Biodiversity Information for Development (BID) programme and is adapted to BioDATA needs. The course is designed for 16-20 participants. All applicants must submit a motivation letter as part of their registration. Lectures will be in English with teaching materials available both in English and Russian languages, with the support of Ukrainian-speaking mentors. https://www.nhm.uio.no/english/research/projects/biodata/activities/2022-ukraine.html

• Endresen, Dag; Russell, Laura Anne; Schigel, Dmitry; de Boer, Hugo; Johaadien, Rukaya Sarah & Torma, Michal [Show all 10 contributors for this article] (2022). Five-day program curriculum on open biodiversity data publishing, including excursion and bioblitz in Dilijan, Armenia in May 2022. Show summary

  Regional Training course for M.Sc. and Ph.D. students with expert trainers and trainers-in-training - Dilijan, Armenia (5 days), 1 to 5 May 2022. Successful attendees will be issued a certificate of attendance corresponding to 2 ECTS and a digital GBIF Certified Trainer badge. This training model has been tested in the Biodiversity Information for Development (BID) programme and is adapted to BioDATA needs. The course is designed for 16-20 participants. All applicants must submit a motivation letter as part of their registration. The lectures will be in English (with some teaching materials available in Armenian). https://www.nhm.uio.no/english/research/projects/biodata/activities/2022-armenia.html

• Johaadien, Rukaya Sarah; Endresen, Dag & Bakken, Vidar (2021). Norwegian GBIF marine datasets from OBIS. Show summary

  GNM 2021 (Virtual) Marine data mobilization session presentation by Norwegian GBIF Node

• Endresen, Dag Terje Filip; Johaadien, Rukaya Sarah & Bakken, Vidar (2021). Capacity development activities from GBIF Norway. Show summary

  Capacity building is an essential component of the GBIF community, a "soft" skill that (even with all the pandemic-related practice) is exceedingly hard to do well. Ahead of a summer calendar that includes the GBIF Global Nodes Meeting and the start of dozens of new projects funded through the BID, BIFA and CESP programmes, this session of the GBIF community webinar will take a deeper look into current training activities across the network.

• Bianchini, Federico; Birkeland, Even; Bösl, Korbinian; Gade, Alexandra; Holmen, Oddgeir Lingaas & Hu, Xian [Show all 14 contributors for this article] (2021). BioMedData Deliverable D2.1 - Report on data management plan needs/gaps. Zenodo. Show summary

  The BioMedData project was established in 2020 to connect the largest research infrastructures within the Life Sciences in Norway with the scope of improving their data management practices, aiming at the production of findable, accessible, interoperable and reusable (FAIR) data. This report marks the conclusion of the first phase within the project, aimed at assessing the data management routines at these infrastructures and the gap with respect to the FAIR data principles. This study is supported by a questionnaire, compiled by all the infrastructures involved, covering international requirements (Science Europe, Horizon2020) as well as the FAIR data principles. The investigation revealed a lack of internationally recognised metadata standards and repositories within specific domains. In other cases, the international metadata standards lack attributes representing provenance information of steps prior to data generation. On top of this, the main responsibility for data management implementation is found to often lie with individual researchers and not infrastructures. A more systematic organisation of data management duties and associated budgeting by the research projects would allow the infrastructures to operate a cost recovering support model.

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