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123 results for “Research Infrastructure”
Figure 8 from: Steinbeck C, Koepler O, Bach F, Herres-Pawlis S, Jung N, Liermann JC, Neumann S, Razum M, Baldauf C, Biedermann F, Bocklitz TW, Boehm F, Broda F, Czodrowski P, Engel T, Hicks MG, Kast SM, Kettner C, Koch W, Lanza G, Link A, Mata RA, Nagel WE, Porzel A, Schlörer N, Schulze T, Weinig H-G, Wenzel W, Wessjohann LA, Wulle S (2020) NFDI4Chem - Towards a National Research Data Infrastructure for Chemistry in Germany. Research Ideas and Outcomes 6: e55852. https://doi.org/10.3897/rio.6.e55852
Figure 8 Components of TA2, Smart Lab, and connection to TA3: Seamless data transfer from devices via the ELN to repositories. Grey panels: modular software plugins, orange panels: modular software plugins for ELN and repositories, blue panels: software developed for the ELN. OC, IC, PC, PolyCC and AC represent the modules of the subdisciplines to be developed (see list of abbreviations in the last section of the Grant Proposal and the table to it).
Figure 7 from: Steinbeck C, Koepler O, Bach F, Herres-Pawlis S, Jung N, Liermann JC, Neumann S, Razum M, Baldauf C, Biedermann F, Bocklitz TW, Boehm F, Broda F, Czodrowski P, Engel T, Hicks MG, Kast SM, Kettner C, Koch W, Lanza G, Link A, Mata RA, Nagel WE, Porzel A, Schlörer N, Schulze T, Weinig H-G, Wenzel W, Wessjohann LA, Wulle S (2020) NFDI4Chem - Towards a National Research Data Infrastructure for Chemistry in Germany. Research Ideas and Outcomes 6: e55852. https://doi.org/10.3897/rio.6.e55852
Figure 7 Existing services forming the nucleus of the envisioned federation of repositories as part of the NFDI4Chem infrastructure.
Figure 11 from: Steinbeck C, Koepler O, Bach F, Herres-Pawlis S, Jung N, Liermann JC, Neumann S, Razum M, Baldauf C, Biedermann F, Bocklitz TW, Boehm F, Broda F, Czodrowski P, Engel T, Hicks MG, Kast SM, Kettner C, Koch W, Lanza G, Link A, Mata RA, Nagel WE, Porzel A, Schlörer N, Schulze T, Weinig H-G, Wenzel W, Wessjohann LA, Wulle S (2020) NFDI4Chem - Towards a National Research Data Infrastructure for Chemistry in Germany. Research Ideas and Outcomes 6: e55852. https://doi.org/10.3897/rio.6.e55852
Figure 11 TA6 will manage the synergies and interfaces to other NFDI consortia and the NFDI as a whole. It will ensure that cross-cutting topics such as NFDI-wide services are properly addressed and their results incorporated into NFDI4Chem.
Figure 10 from: Steinbeck C, Koepler O, Bach F, Herres-Pawlis S, Jung N, Liermann JC, Neumann S, Razum M, Baldauf C, Biedermann F, Bocklitz TW, Boehm F, Broda F, Czodrowski P, Engel T, Hicks MG, Kast SM, Kettner C, Koch W, Lanza G, Link A, Mata RA, Nagel WE, Porzel A, Schlörer N, Schulze T, Weinig H-G, Wenzel W, Wessjohann LA, Wulle S (2020) NFDI4Chem - Towards a National Research Data Infrastructure for Chemistry in Germany. Research Ideas and Outcomes 6: e55852. https://doi.org/10.3897/rio.6.e55852
Figure 10 The cultural change in chemical RDM is supported through training and community involvement in TA5 as well as by the NFDI4Chem infrastructure.
Supplementary material 4 from: Hardisty A, Livermore L, Walton S, Woodburn M, Hardy H (2020) Costbook of the digitisation infrastructure of DiSSCo. Research Ideas and Outcomes 6: e58915. https://doi.org/10.3897/rio.6.e58915
Cost Books - Original Responses
Supplementary material 5 from: Hardisty A, Livermore L, Walton S, Woodburn M, Hardy H (2020) Costbook of the digitisation infrastructure of DiSSCo. Research Ideas and Outcomes 6: e58915. https://doi.org/10.3897/rio.6.e58915
Cost books - RBINS
Supplementary material 3 from: Hardisty A, Livermore L, Walton S, Woodburn M, Hardy H (2020) Costbook of the digitisation infrastructure of DiSSCo. Research Ideas and Outcomes 6: e58915. https://doi.org/10.3897/rio.6.e58915
Cost Books - Flattened Data
Figure 6 from: Hardisty A, Livermore L, Walton S, Woodburn M, Hardy H (2020) Costbook of the digitisation infrastructure of DiSSCo. Research Ideas and Outcomes 6: e58915. https://doi.org/10.3897/rio.6.e58915
Figure 6 Returned costbooks versus stated capability to digitise from Cocks et al. (2020). Legend: Graded shaded = stated capability to digitise. Black tickbox = completed costbook returned for that category. RBGK 'Other' = fungi collection. MNHN 'Herbarium sheets' = two workflows (day-to-day digitisation in the museum, and Recolnat project workflow). MNHN 'Other' = marine invertebrates collection. UTARTU 'Other' = lichens and fungi. NHMUK 'Pinned insects' = two workflows (standard workflow with label removal, and ALICE workflow with label remaining in situ).
Supplementary material 1 from: Hardisty A, Livermore L, Walton S, Woodburn M, Hardy H (2020) Costbook of the digitisation infrastructure of DiSSCo. Research Ideas and Outcomes 6: e58915. https://doi.org/10.3897/rio.6.e58915
Cost Template Data Extraction Script
Supplementary material 2 from: Hardisty A, Livermore L, Walton S, Woodburn M, Hardy H (2020) Costbook of the digitisation infrastructure of DiSSCo. Research Ideas and Outcomes 6: e58915. https://doi.org/10.3897/rio.6.e58915
Costbook Template
Towards big religious data, RESILIENCE Research Infrastructure for Data on Religion in the Digital Age
<p>Data in and for religion is arguably as old as humanity. Religious significance has been attached to an immense variety of artifacts and documents, often in written form, in nearly all spoken and written languages over the past millennia. The rise of the digital age gives to the scholar in religious studies the opportunity to build research over a much wider array of data than ever before; institutions which have data repositories (such as libraries, museums, universities, etc.) similarly have the chance to make their collections available to a larger community. On the other hand, however, there is a serious risk that a considerable amount of data gets lost during the "Digital transition". This paper presents the approach of the RESILIENCE Research Infrastructure in dealing with the issue of big data and data loss within the field of religious studies.</p>
How digital infrastructures empower humanities researcher(s): The PARTHENOS Training Suite
<p>1<sup>st</sup> Project Presentation</p>
FAIR Digital Object and DiSSCo Research Infrastructure Design
<p>This presentation is about how <a href="https://dissco.eu">DiSSCo</a> (Distributed System of Scientific Collections) is using the FAIR Digital Object as the cornerstone of a research infrastructure design. DiSSCo -- a new Research Infrastructure currently in the preparation phase -- will digitally unify European natural science assets under common curation and access and will ensure that data is Findable, Accessible, Interoperable and Reusable (FAIR). DiSSCo will integrate a fragmented landscape of natural science collections, transforming it into a unified, robust, quality ensured knowledge base of unprecedented scale for bio- and geodiversity.</p> <p>With a brief historical context of FAIR Digital Object, this presentation introduces the concept of Digital Specimen. Then it highlights the incorporation of outputs from several <a href="https://rd-alliance.org/">RDA</a> (Research Data Alliance) interests and working groups in the design decision.</p>
Figure 2 from: Raes N, Casino A, Goodson H, Islam S, Koureas D, Schiller EK, Schulman L, Tilley L, Robertson T (2020) White paper on the alignment and interoperability between the Distributed System of Scientific Collections (DiSSCo) and EU infrastructures - The case of the European Environment Agency (EEA). Research Ideas and Outcomes 6: e62361. https://doi.org/10.3897/rio.6.e62361
Figure 2 The current and required implementation readiness levels for DiSSCo to enter the construction phase of the DiSSCo RI. The grey arrows indicate the tasks for the DiSSCo Prepare project.
Figure 3 from: Raes N, Casino A, Goodson H, Islam S, Koureas D, Schiller EK, Schulman L, Tilley L, Robertson T (2020) White paper on the alignment and interoperability between the Distributed System of Scientific Collections (DiSSCo) and EU infrastructures - The case of the European Environment Agency (EEA). Research Ideas and Outcomes 6: e62361. https://doi.org/10.3897/rio.6.e62361
Figure 3 An example of a simple Digital Specimen (Hardisty 2020). Arrows point to identifiers of linked information that was derived from or is related to the physical specimen it represents. dissco.tech blog post.
Figure 4 from: Raes N, Casino A, Goodson H, Islam S, Koureas D, Schiller EK, Schulman L, Tilley L, Robertson T (2020) White paper on the alignment and interoperability between the Distributed System of Scientific Collections (DiSSCo) and EU infrastructures - The case of the European Environment Agency (EEA). Research Ideas and Outcomes 6: e62361. https://doi.org/10.3897/rio.6.e62361
Figure 4 The links and interactions between the EEA, ETCs (European Topic Centres), NFPs (National Focal Points), and NRCs (National Reference Centres) - image from EEA website*25.
Supplementary material 1 from: Lymer G, Leliaert F, Mergen P, Pijls S (2023) Pre-Commercial Procurement framework and European funding sources for European Research Infrastructure Consortiums: Insights from the DiSSCo ERIC development. Research Ideas and Outcomes 9: e113294. https://doi.org/10.3897/rio.9.e113294
Glossary
Supplementary material 3 from: Meeus S, Addink W, Agosti D, Arvanitidis C, Balech B, Dillen M, Dimitrova M, González-Aranda JM, Holetschek J, Islam S, Jeppesen TS, Mietchen D, Nicolson N, Penev L, Robertson T, Ruch P, Trekels M, Groom Q (2022) Recommendations for interoperability among infrastructures. Research Ideas and Outcomes 8: e96180. https://doi.org/10.3897/rio.8.e96180
Hackathon Topic 3
Supplementary material 15 from: Meeus S, Addink W, Agosti D, Arvanitidis C, Balech B, Dillen M, Dimitrova M, González-Aranda JM, Holetschek J, Islam S, Jeppesen TS, Mietchen D, Nicolson N, Penev L, Robertson T, Ruch P, Trekels M, Groom Q (2022) Recommendations for interoperability among infrastructures. Research Ideas and Outcomes 8: e96180. https://doi.org/10.3897/rio.8.e96180
List of participants involved in the BiCIKL hackathon and the BioHackathon Europe
Supplementary material 13 from: Meeus S, Addink W, Agosti D, Arvanitidis C, Balech B, Dillen M, Dimitrova M, González-Aranda JM, Holetschek J, Islam S, Jeppesen TS, Mietchen D, Nicolson N, Penev L, Robertson T, Ruch P, Trekels M, Groom Q (2022) Recommendations for interoperability among infrastructures. Research Ideas and Outcomes 8: e96180. https://doi.org/10.3897/rio.8.e96180
On-site participants of the BiCIKL hackathon at Meise Botanic Garden
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.