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55 results for “management recommendations”
IPBES Data Management Tutorials - Session 4.3: Recommendations and considerations for data backups
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data management Policy. They cover topics ranging from data management policy, reports, active research data, tools, and examples.</p> <p>The <em>Data management of active research data </em>chapter provides an introduction for IPBES experts on how to manage data while actively being used, analyzed, and produced to fulfill the criteria of the IPBES data management policy.</p> <p>This session,<em> Recommendations and considerations for data backups</em>, reviews the importance of data backups, provides resources for further information, and discusses specific considerations one should keep in mind. </p>
GERONTE H2020 project - GERDAT004 - Dataset of self-management recommendations
<p><strong>The present document is a dataset generated as part of Deliverable D1.1. of the GERONTE project, which has received funding from the European Union’s Horizon 2020 Programme under Grant Agreement N°945218. It aims to provide the geriatric oncology professional community with a dataset of self-management recommendations that can be used in the care for older patients with cancer and multimorbidity.</strong></p> <p>GERONTE is a 5-year research and innovation project (April 2021 to Mars 2026) funded by the European Union within the framework of the H2020 Research and Innovation programme, in response to the health societal challenge topic SC1-BHC-24-2020 “Healthcare interventions for the management of the elderly multimorbid patient”. The overall aim of GERONTE is to improve quality of life - defined as well-being on three levels: global health status, physical functioning and social functioning- for older multimorbid patients, while reducing overall costs of care. To this end, GERONTE will co-design, test, and prepare for deployment an innovative cost-effective patient-centred holistic health management system, hereafter referred to as the GERONTE intervention. GERONTE intervention will rely on an ICT based application for real-time collection and integration of standardised clinical and home patient-reported data. GERONTE intervention will be demonstrated in the context of care of multimorbid patients having cancer as a dominant morbidity, and be adaptable to any other combination of morbidities.</p> <p>Patient empowerment by supporting self-management is an important component of the Geronte care pathway. As patients will be monitoring themselves at home, to register side-effects of treatment, decompensation of comorbidities and signs of functional decline, they will also be faced with questions about how to deal with the issues that they are having. While one important component of the care pathway is early signalling of complications to allow for early intervention by health care professionals, there is also a lot that patients can do for themselves at home to enhance their life-style, decrease burden of signs and symptoms or to improve outcomes.</p> <p>This led to the composition of a dataset to be included in the GERONTE care pathway, which is presented here.</p>
NOAA NCCOS Assessment: Priority Areas Recommended for Shallow Coral Reef Management in the South Florida Coast from 2021-04-26 to 2021-05-21
<p>The National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) developed a spatial framework, process, and online application (Buja and Christensen 2019) to identify mapping needs along the south Florida coast to support shallow coral reef management by NOAA’s Coral Reef Conservation Program (CRCP). Eighteen participants from local federal, state, academic, and other institutions entered their priorities in an online participatory Geographic Information System (pGIS). Participants used virtual coins to denote their priorities in 10.4 km<sup>2</sup> hexagonal grid cells overlaid on the study area. Grid cells with more coins were higher priorities than cells with fewer coins. Participants also reported why these locations were important, what data types were needed, and data collection methodologies using a pre-set list of options. Results were compiled, summarized, and mapped to identify high priority areas, reasons for those priorities, and information needs. Identifying these high priority areas provide a critical spatial framework for prioritizing mapping efforts in shallow coral reef ecosystems in south Florida.</p> <p>The overall goal of the project was to systematically gather and quantify suggestions for mapping needs to support management of shallow coral reef ecosystems along the coast of south Florida. This dataset supports these goals by compiling input from a diversity of regional experts on their recommended priorities for mapping data collection.</p> <p>An advisory group was established which included individuals from NOAA CRCP and NOAA Fisheries. This advisory team customized the pGIS process specifically to meet the needs of CRCP and local coral reef manager priorities. In the online pGIS, the study area was divided into 1761 hexagonal grid cells 10.4 km<sup>2</sup> in size. Existing relevant spatial datasets (<em>e.g.</em>, bathymetry, Sanctuary Protection Areas, etc.) were provided as a digital atlas to help participants understand information and data gaps within the project area and to identify locations they wanted to prioritize for future data collections. The pGIS was used by 18 participants to convey their recommendations. Each participant was provided with 530 virtual coins to place into grid cells that they wished to prioritize. They were instructed to place more coins in grid cells that were higher priorities. A maximum of 53 coins could be placed into an individual grid cell by each respondent. Respondents also reported why these locations were important by selecting a minimum of one, and a maximum of two, management uses from the following list: endangered species management (e.g.,), habitat restoration, monitoring, coastal vulnerability planning, watershed management, fisheries management, consultations and permitting, emergency response, and spatial protection and management. Respondents also reported what data types were needed in priority cells. A minimum of one, to a maximum of two choices were selected from the following list: habitat map/characterization, shoreline characterization, ground truthing (e.g. photos and videos collected using ROVs or AUVs), elevation (e.g. bathymetry and topography), backscatter and intensity (e.g. surfaces used to delineate between hard and soft substrate), 2D map product (e.g. static images used to visualize bottom type, presence/absence of taxa), georectified photomosaics (e.g. 3D products created from structure for motion), and water column (e.g. for fish biomass detection). Respondents also reported what method of data collection was desired in each priority cell. Only one response was required and were selected from the following list: satellite, lidar, multibeam echosounder, split beam echosounder, side-scan sonar, photogrammetry, drop-camera, and uncrewed systems. Coin values were summarized and mapped to identify high priority areas, reasons for those priorities, and information needs. This ESRI shapefile contains the 10.4 km<sup>2</sup> grid cells used in this prioritization and their associated coin values overall, as well as by management use, data product, and mapping methodology. Other summary values include the number of participants, number of participating groups, number of management uses, and number of data products. Also included is a ranking of each grid cell based on the total number of coins, management uses, and agencies allocating coins in the respective cell. For a complete description of the process and analysis see: Kraus et al., 2022.</p> <p> </p>
Dataset: Strauss et al. 2023 Sustainable soil management measures: a synthesis of stakeholder recommendations
<p>The provided dataset contains the used information for the scientific publication</p> <p>Strauss, V., Paul, C., Dönmez, C., Löbmann, M., & Helming, K. (2023). Sustainable soil management measures: a synthesis of stakeholder recommendations. <em>Agronomy for Sustainable Development</em>, <em>43</em>(1), 17</p> <p> </p> <p>Due to the assessment language, parts of the dataset are in German.</p> <p>Specifically, it contains:</p> <p>- Stakeholder documents (welche ausgewertet wurden) & Einteilung in Stakeholder Groups<br> - Erfassung der Aussagen & Kategorisierung<br> - Auswertung zur Longlist<br> - Ergebnisse der Farmer Survey</p>
Dataset and R code: Genetic diversity of lion populations in Kenya: evaluating past management practices and recommendations for future conservation actions by Chege M et.al
Open the record for dataset details and reuse information.
IPBES Data Management Tutorials - Session 4.2: Recommendations for workflow establishment and data management
<p>The <em>IPBES data management tutorials</em> are short videos to help experts implement the IPBES data management Policy. They cover topics ranging from data management policy, reports, active research data, tools, and examples.</p> <p>The <em>Data management of active research data </em>chapter provides an introduction for IPBES experts on how to manage data while actively being used, analyzed, and produced to fulfill the criteria of the IPBES data management policy.</p> <p>This session,<em> Recommendations for workflow establishment and data management</em>, provides recommendations for data management including the generation of workflows and data storage. </p>
[DATASET] Supporting Open Science Hardware in Academia: Policy Recommendations for Science Funders and University Managers
<p>Raw data from a real-time Delphi exercise used to write the policy brief: <a href="https://zenodo.org/record/8030029">Supporting Open Science Hardware in Academia: Policy Recommendations for Science Funders and University Managers</a></p> <p>Access to the Real-Time Delphi platform was kindly provided by <a href="https://4strat.de">4strat</a>. See tab "meta - start here" for description of the dataset.</p>
AAPM TG 236 Report 236: Recommendations on volume-image-based treatment planning, dosimetry, and quality management for HDR intracavitary brachytherapy: Part I breast
<p>This is a zipped file for Appendix A.1 DVH validation using reference DCIOM datasets for AAPM TG report 236: Part I. Intracavitary breast brachytherapy. One can download and unzip the file. These are CT images and a structure file in DICOM format to validate the DVH information in your HDR brachytherapy treatment planning system either Varian BrachyVision or Elekta Oncentra. One can import all the DICOM files into your brachytherapy TPS and compute the dose. One can follow the instruction described in detail in Appendix A.1 of the AAPM TG 236: Part I report.</p>
Management of persistent non-specific low back pain in primary care: A review of current guideline recommendations
<p>AGREE II Summary Score Sheets</p>
Alarm management in provisional COVID-19 intensive care units: a retrospective analysis and recommendations for future pandemics
<p>The clinical audit logs were manually collected from the patient monitoring system of four intensive care units (ICU) from a large German hospital via USB stick from the central patient monitoring device. The data consists of the time, bed number, alarm type (i.e., parameter, device, alarm criticality) and alarm handling (e.g., threshold adjustments, use of the pause function). No actual patient identifying data elements were collected. For further deidentification, dates were shifted into the future by a pseudo-random offset for all patients; the bed number was replaced by a pseudonym. Day and night rhythm, weekends, the season and the bed characteristic (double room, single room) were not affected by this process.</p> <p> </p>
FIGURE 27. A in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 27. A. Absorbent purified cotton wool wrapped on skewer. B. Coverslips 24 mm x 24 mm with paraffin rings ready for mounting each specimen in a drop of glycerol on a Cobb aluminum slide. C, D. Slide mounting device for Cobb aluminum slides. E. Storage of labels in 4-flap paper envelopes filed in cardboard boxes provided by Klug Conservation. F, G. Storage of labels in Secol polyester slide and negative film preserver sheets housed in a custom-made cardboard file system made by Klug Conservation. Note certificate of deacidification with Bookkeeper™ in front of the labels (F) and sheet of paper behind labels in polyester envelope (G). H, I. Restoration of a microscope slide by soaking the slide in distilled water on a hot plate in the lower part of a Petri dish (Pd) covered with a watch glass (wg) before (H) and after removal of labels and their storage under the top of the Petri dish (I, toPd). Note drops of water dripping back into lower Petri dish (I).
FIGURE 26 in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 26. Chemical structure of ingredients of shellac from the hemipteran Kerria lacca and related species.
FIGURE 23 in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 23. Chemical structure of monoterpenes, seaquiterpenes, and more volatile ingredients of gum mastic from Pistacia lentiscus.
FIGURE 21 in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 21. Chemical structure of the ingredients of gum colophony (= rosin, Greek pitch) from various species of Pinus.
FIGURE 20. A-F in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 20. A-F. Kinorhyncha mounted in Fluoromount G™ between 2002 and 2008 (A, B), 2003 and 2007 (C, D: same slide), and 2006 and 2010 (E) by Sørensen (A-E) and 1999 and 2012 by Herranz (F). Currently not affected mounting medium (mo) with severe deterioration like cavities (ca), platelet-like (A), rectangularly growing (B-D), radially growing (B-E, arrowheads), small chaotic (D) crystals (cy), and segregation of ingredients of mounting medium resulting in formation of bubbles (F). Specimens marked by asterisks. A, DF: DIC; B, C: bright field illumination. Scalebars: A, E, 300 µm; B, C, 2 mm; D, 500 µm; F, 200 µm.
FIGURE 18. A in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 18. A. Polychaete in glycerol-gelatin with unharmed medium (mo), formation of cavities (ca), and coverslip cracked above specimen (arrowheads). B-H. Kinorhyncha mounted in polyvinyl lactophenol between 1985 and 1990 by Neuhaus, unringed; currently not affected mounting medium (mo) and areas at different stages of deterioration with extensive cavities (ca), drops of fluid (fl; B, F), and formation of different kinds of crystals (cy). B, C. Overview of damage on two slides. Arrowheads mark specimens. D-F. Details of radially growing (D, F), rectangularly growing (F, H), leaf-like (D, E, G), and tree-like (H) crystals. A-C: bright field illumination; D-H: DIC. Scalebars: A-C, 5 mm; D-H, 500 µm.
FIGURE 19. A-D in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 19. A-D. Kinorhyncha mounted in polyvinyl lactophenol between 1985 and 1990 by Neuhaus, unringed; currently not affected mounting medium (mo) and areas at different stages of deterioration with extensive cavities (ca) and formation of different kinds of crystals (cy). Specimens marked by asterisk. E, F. Aphidina mounted in Polyviol; now deteriorating with cavities and crystals. A-F: DIC. Scalebars: A-D, 500 µm.
FIGURE 17. A-F in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 17. A-F. Kinorhyncha mounted in Permount™ between 1964 and 1968 by Higgins; intermediate stage of deterioration with incomplete crack coverage (A: see also same slide in Fig. 15J), and final stages with entirely cracked and whitish (B, C: see also same slide in Fig. 15E) or yellowish (D-F: see also same slide in Fig. 15F) mounting medium. Cracks at specimen (E) and at margin of coverslip (F). Arrowheads mark specimens. A, C: DIC; B, D: bright field illumination; E, F: dark field illumination. Scalebars: A, C, E, F, 500 µm; B, D, 5 mm.
FIGURE 15. A, B. Liquid mounts, mostly dry except for 1 in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 15. A, B. Liquid mounts, mostly dry except for 1st slide in A with central gas bubble (white arrowhead) and B; mounted probably in formaldehyde about 1913 (A) and about 1897 by Rousselet (B). Notice precipitations in A (black arrowheads) and inner coverslip seal of foamy brownish structure (B, asterisk). C. Kinorhynch mounted in Aquatex® between 1985 and 1990 by Neuhaus showing cracks in the medium. D. Part of Aphidina mounted in Caedax with numerous small bright crystals. E, F. Aphidina mounted in Canada balsam 1907 by Heymont (E) and in Celochloral in 1965 by Göllner-Scheiding (F). Notice yellowed mounting medium in periphery of coverslips. G, H. Kinorhynch mounted in CMCP-10 in 1992 by Neuhaus. Notice crystals near specimen (arrows in G) and in periphery of coverslip (H). I, J. Histological sections mounted in DPX in the 1980s in the lab of Sluys. Notice crystals at a distance from section (I), enlarged in J. A, B, E, F: macro lens; C, D, G-J: DIC. Scalebars: A, B, E, F 2 cm; C, G-I, 500 µm; D, 300 µm; J, 50 µm.
FIGURE 16. A-C in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 16. A-C. Aphidina mounted in lactophenol gum about 1950 by Heinze, overview (A) and enlargements with cracked and darkened medium (B, C) with crystals (C). D-J. Kinorhyncha mounted in Permount™ between 1964 and 1968 by Higgins; early stage of deterioration with initial cracks (G-I), intermediate stage with incomplete crack coverage (D, J: see also same slide in Fig. 16A), and final stages with entirely cracked and whitish (E: see also same slide in Fig. 16B, C) or yellowish (F: see also Fig. 16D-F; same slide) mounting medium. Arrowheads mark specimens. A, D-F: macro lens; B, G, J: bright field illumination; C, H, I: DIC. Scalebars: A, D-F, 2 cm; B, G, J, 5 mm; C, H, 300 µm; I, 200 µm.
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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.