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Science, technology, engineering, and mathematics (STEM) education aims to develop creative, broadminded, and inquisitive graduates who think critically. Critical thinking (CT) is conceptualized as purposeful, self-regulatory judgment involving thinking skills such as analysis, evaluation, and inference. This research, designed as an exploratory study, presents a theoretical digital curation (DC) model enabling a comprehensive pedagogical framework for developing and utilizing CT in a digital environment in higher education. The database was composed of digital collections created by undergraduate and graduate students ( n  = 94) from three Israeli universities. The research questions were: (1) whether and in what ways the engagement of students in the DC activity required CT, (2) whether a significant difference in the level of CT would be found between undergraduate and graduate students in the DC activity, (3) whether a significant difference in the level of CT would be found between students provided with instruction on DC before the DC activity and a control group that received no instruction. Factor analysis of the students’ strategies produced 3 factors corresponding to evaluation, analysis, and inference that accounted for 75.34% of the total explained variance. These results suggest that as a pedagogical approach, DC can tap the key features of CT. Further statistical analyses showed that the graduate students had higher scores on evaluation than the undergraduates and that academic level and previous instruction in DC improved the quality of the DC. The factor that most influenced the quality of the digital curation was the analysis variable. Thus, DC can create a rich, active environment that promotes CT.

The article is localized at the intersection of digital curation, archival studies, digital humanities, and the documentation practice in ethnology. The primary aims are 1. to analyze the five selected principles of conceptual preparation and practical building of digital research collections; 2. to exemplify these principles on the concept and strategy of digital conversion and computer processing of the ethnological Collection of research reports (CRR) at the Institute of Ethnology and Social Anthropology SAS; 3. to evaluate and to comment on the selected principles of research collections based on CRR exemplification. The first aim includes defining essential terms, principles analysis (principle of development policy, description, digital curation, contextual mass, and scholarly contribution) and highlighting the specificity of thematic research collections. The second aim involves in-depth exemplifying conceptual, methodological, curatorial, and practical processes through which CRR becomes a digital research collection. The third aim includes a retrospective evaluation of problematic aspects of selected principles from the point of view of the CRR example. The article’s contribution will be to improve the knowledge of professionals in ethnology about the theoretical foundations and curatorial management of digital research collections.

Purpose The purpose of this paper is to examine the concept of professional competency in current digital curation literature through the lens of competency theories in management science and organizational studies. This paper also aims to provide recommendations to articulate and expand professional competencies in future digital curation research and professional education. Design/methodology/approach The outcomes presented in this paper are based on a multi-disciplinary literature review and a qualitative content analysis. The literature review explores theoretical foundations of professional competency in management science and organizational studies and how the concept of professional competency is used in digital curation literature. The content analysis scrutinizes 16 digital curation publications that have discussed professional competency, with an in-depth examination of seven empirical studies in these publications. Findings The findings include: the concept of professional competency is inconsistently used in digital curation literature, the digital curation literature exhibits disparate coverage of different types of professional competencies, and the digital curation empirical studies often narrowly operationalize the concept of professional competency but the empirical studies using multiple or in-depth qualitative methods yield more comprehensive findings reflecting a broader scope of the concept. Originality/value Although past research focused on the competencies required for digital curation, there is no research scrutinizing the conceptual construct of professional competency in the digital curation literature. This paper will be of value to digital curation researchers and educators to better determine the competencies needed for digital curators as an emerging profession.

This study attempts to propose an abstract model by gathering concepts that can focus on resource representation and description in a digital curation model and suggest a conceptual model that emphasizes semantic enrichment in a digital curation model.This study conducts a literature review to analyze the preceding curation models, DCC CLM, DCC&U, UC3, and DCN.The concept of semantic enrichment is expressed in a single word, SEMANTIC in this study. The Semantic Enrichment Model, SEMANTIC has elements, subject, extraction, multi-language, authority, network, thing, identity, and connect.This study does not reflect the actual information environment because it focuses on the concepts of the representation of digital objects.This study presents the main considerations for creating and reinforcing the description and representation of digital objects when building and developing digital curation models in specific institutions.This study summarizes the elements that should be emphasized in the representation of digital objects in terms of information organization.

CRU TS (Climatic Research Unit gridded Time Series) is a widely used climate dataset on a 0.5° latitude by 0.5° longitude grid over all land domains of the world except Antarctica. It is derived by the interpolation of monthly climate anomalies from extensive networks of weather station observations. Here we describe the construction of a major new version, CRU TS v4. It is updated to span 1901–2018 by the inclusion of additional station observations, and it will be updated annually. The interpolation process has been changed to use angular-distance weighting (ADW), and the production of secondary variables has been revised to better suit this approach. This implementation of ADW provides improved traceability between each gridded value and the input observations, and allows more informative diagnostics that dataset users can utilise to assess how dataset quality might vary geographically. Measurement(s) temperature • volume of hydrological precipitation • vapour pressure • wet days • cloud cover Technology Type(s) digital curation Factor Type(s) date of observation • location of observation Sample Characteristic - Environment climate system Sample Characteristic - Location Asia • Africa • Europe • Australia • North America • South America Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.11980500

Chest radiography is an extremely powerful imaging modality, allowing for a detailed inspection of a patient’s chest, but requires specialized training for proper interpretation. With the advent of high performance general purpose computer vision algorithms, the accurate automated analysis of chest radiographs is becoming increasingly of interest to researchers. Here we describe MIMIC-CXR, a large dataset of 227,835 imaging studies for 65,379 patients presenting to the Beth Israel Deaconess Medical Center Emergency Department between 2011–2016. Each imaging study can contain one or more images, usually a frontal view and a lateral view. A total of 377,110 images are available in the dataset. Studies are made available with a semi-structured free-text radiology report that describes the radiological findings of the images, written by a practicing radiologist contemporaneously during routine clinical care. All images and reports have been de-identified to protect patient privacy. The dataset is made freely available to facilitate and encourage a wide range of research in computer vision, natural language processing, and clinical data mining.

The China Meteorological Forcing Dataset (CMFD) is the first high spatial-temporal resolution gridded near-surface meteorological dataset developed specifically for studies of land surface processes in China. The dataset was made through fusion of remote sensing products, reanalysis datasets and in-situ station data. Its record begins in January 1979 and is ongoing (currently up to December 2018) with a temporal resolution of three hours and a spatial resolution of 0.1°. Seven near-surface meteorological elements are provided in the CMFD, including 2-meter air temperature, surface pressure, and specific humidity, 10-meter wind speed, downward shortwave radiation, downward longwave radiation and precipitation rate. Validations against observations measured at independent stations show that the CMFD is of superior quality than the GLDAS (Global Land Data Assimilation System); this is because a larger number of stations are used to generate the CMFD than are utilised in the GLDAS. Due to its continuous temporal coverage and consistent quality, the CMFD is one of the most widely-used climate datasets for China. Measurement(s) temperature • pressure • humidity • atmospheric wind speed • radiation • precipitation process Technology Type(s) digital curation Factor Type(s) geographic location • time Sample Characteristic - Environment climate system Sample Characteristic - Location China Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.11558439

The contribution examines topics related to the management, keeping and use of digital documentary resources with specific attention to their ethical dimension. This aspect is analyzed at a general level and specifically with reference to the need for professionals to carefully re-define the organizational models, the platforms planning and activities related to the fruition of digital assets. The author analyses the dynamic complexity of the contemporary digital heritage and the consequences required to professionals in term of high level of knowledge and competences and full respect of guiding principles and scientific methods in each domain.The digital environment implies also flexibility, integration capacity, a permanent exercise of responsibility, a continuous updating of specialized knowledge and an interdisciplinary approach. The success in the qualified mediation between conflicting interests and principles, at the basis of the digital curation and preservation complexities, is strictly connected to the mediators' recognition of the civil value of their function. [Publisher's text]

The World Checklist of Vascular Plants (WCVP) is a comprehensive list of scientifically described plant species, compiled over four decades, from peer-reviewed literature, authoritative scientific databases, herbaria and observations, then reviewed by experts. It is a vital tool to facilitate plant diversity research, conservation and effective management, including sustainable use and equitable sharing of benefits. To maximise utility, such lists should be accessible, explicitly evidence-based, transparent, expert-reviewed, and regularly updated, incorporating new evidence and emerging scientific consensus. WCVP largely meets these criteria, being continuously updated and freely available online. Users can browse, search, or download a user-defined subset of accepted species with corresponding synonyms and bibliographic details, or a date-stamped full dataset. To facilitate appropriate data reuse by individual researchers and global initiatives including Global Biodiversity Information Facility, Catalogue of Life and World Flora Online, we document data collation and review processes, the underlying data structure, and the international data standards and technical validation that ensure data quality and integrity. We also address the questions most frequently received from users. Measurement(s) Vascular Plant • Species Technology Type(s) digital curation Sample Characteristic - Organism Tracheophyta Sample Characteristic - Location global Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.15035046