Open research data repositories: Practices, norms, and metadata for sharing images

Hansson, Karin; Dahlgren, Anna

doi:10.1002/asi.24571

Cited by 17 publications

(13 citation statements)

References 35 publications

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“…Social Sciences Survey (481), interviews (234), observations (113), qualitative (98), transcripts (52), quantitative (44), audio (38), video (36), recordings (34), experimental (34) Arts and Humanities Survey (60), observations (43), texts (37), images (33), interviews (33), video (28), audio (26), qualitative (24), literary (23), historical (22) Business and Economics Survey (345), secondary (83), interviews (67), observations (31), qualitative (26), experimental (18), financial (16), quantitative (16), economic (15), time series (14) Environmental Sciences Survey (105), samples (54), observations (48), water (35), field data (30), experimental (29), measurements (23), images (22), soil (22), species (19) Earth & Planetary Sciences Models (40), Observations (32), Samples (25), Survey (25), Measurements (24), Water (17), Field data (16), Numerical (16), Chemical (15), Temperature (12) Biomedical Sciences Survey (45), images (32), behavioral…”

Section: Data Availability Statementmentioning

confidence: 99%

“…Images (50), observations (48), simulations (45), spectra (36), survey (27), software (24), astronomical (22), numerical (18), catalogues (13), physical objects (13) Engineering Survey (33), Experimental (27), Simulations (26), Numerical (16), Images (15), Samples (15), Observations (12), Software (12), Measurements (10), system…”

Section: Data Availability Statementmentioning

confidence: 99%

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Data sharing and reuse practices: disciplinary differences and improvements needed

Khan

Thelwall

Kousha

2023

OIR

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PurposeThis study investigates differences and commonalities in data production, sharing and reuse across the widest range of disciplines yet and identifies types of improvements needed to promote data sharing and reuse.Design/methodology/approachThe first authors of randomly selected publications from 2018 to 2019 in 20 Scopus disciplines were surveyed for their beliefs and experiences about data sharing and reuse.FindingsFrom the 3,257 survey responses, data sharing and reuse are still increasing but not ubiquitous in any subject area and are more common among experienced researchers. Researchers with previous data reuse experience were more likely to share data than others. Types of data produced and systematic online data sharing varied substantially between subject areas. Although the use of institutional and journal-supported repositories for sharing data is increasing, personal websites are still frequently used. Combining multiple existing datasets to answer new research questions was the most common use. Proper documentation, openness and information on the usability of data continue to be important when searching for existing datasets. However, researchers in most disciplines struggled to find datasets to reuse. Researchers' feedback suggested 23 recommendations to promote data sharing and reuse, including improved data access and usability, formal data citations, new search features and cultural and policy-related disciplinary changes to increase awareness and acceptance.Originality/valueThis study is the first to explore data sharing and reuse practices across the full range of academic discipline types. It expands and updates previous data sharing surveys and suggests new areas of improvement in terms of policy, guidance and training programs.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2021-0423.

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Section: Data Availability Statementmentioning

confidence: 99%

Section: Data Availability Statementmentioning

confidence: 99%

Data sharing and reuse practices: disciplinary differences and improvements needed

Khan

Thelwall

Kousha

2023

OIR

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“…-бедность метаданных в репозиториях отдельных научных дисциплин, особенно в гуманитарной сфере, где, например, можно классифицировать и указать / найти тип изображения (фотографию), его жанр (портрет) или весь период его создания (1850-1950), но нельзя сделать этого в отношении имен изображенных людей или фотографа, а также пола и национальности изображенных или контекста съемки [13].…”

Section: рекомендации этических и редакционно-издательских руководствunclassified

“…Список журнальных сайтов каждого университета: НИУ ВШЭ 12 ; СПбГУ 13 ; РАНХиГС 14 ; УрФУ 15 , НИЯУ МИФИ 16 , где оценивалось раскрытие 10 FAIR Principles. URL: https://www.go-fair.org/fair-principles/ 11 URL: https://www.5top100.ru/universities/ 12 URL: https://id.hse.ru/journals/ 13 URL: https://spbu.ru/nauka/nauchnye-zhurnaly-spbgu 14 URL: https://lib.ranepa.ru/ru/nauchnye-zhurnaly-rankhigs 15 URL: https://journals.urfu.ru/index.php/ 16 URL: https://id.hse.ru/journals/ принципов открытой науки и соответствие ключевым рекомендациям COPE / DOAJ / TOP Guidelines в редакционной политике и инструкциях для авторов, а также полнота и качество заполнения метаданных в DOI.…”

Section: материалы и методыunclassified

Data and reproducibility. Interpretation of international guidelines and journals’ best policies and practices

Mzhelsky

2023

Naučnyj redaktor i izdatelʹ

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Relevance. The 2022 Update of the COPE, DOAJ, OASPA, and WAME joint guidelines on The Principles of Transparency and Best Practice in Scholarly Publishing encourages journals to establish their own policy in “data sharing and reproducibility” (DS&R). However, this document neither provides detailed recommendations / templates nor explains the reproducibility crisis phenomenon.Objectives. To analyze and interpret the international guidelines, the best practices of global publishers and journals, as well as typical mistakes and experience of selected Russian journals, to help a journal develop its own DS&R policy and its implementation.Materials and methods. The analysis of various sources (literature, reporting guidelines, data repositories), policies of 83 Russian university journals, as well as policies of the top 5 international publishers and their journals. Interviews with 6 editors-in-chief of Russian journals regarding DS&R.Results. All the top 5 global publishers in their DS&R policy adapt the TOP Guidelines and offer their own data sharing statement templates. Discussion and interpretations. The author suggests Russian translation of the TOP Guidelines and the main templates (e.g., data sharing statement). He also discusses 9 best journal policies and practices (including pre-registration studies).Conclusions. Numerous international sources, as well as the experience of selected Russian journals, demonstrate that the implementation of the DS&R policy increases articles citation (averagely by 25.3%), the growth of journal’s bibliometric and altmetric indicators, and also contributes to the trust of the target audience. As a result, it strengthes the journal portfolio to enable publishing articles well ahead of schedule. However, only the declarative statement of DS&R policies by journals without proper implementation does not bring tangible benefits to the journals.

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“…However, there are some limitations. Researchers who reuse data need a great understanding of the context to interpret the data, theories, tools and other contextual knowledge (Hansson & Dahlgren, 2022). However, there might be some copyright issues to limit the reshare of the metadata.…”

Section: Researchers and Challenges With Data Managementmentioning

confidence: 99%

Fair Data: History and Present Context

Carballo-Garcia

Boté‐Vericad

2022

CEJER

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In this paper, we discuss FAIR Data, why it exists, and who it applies to. We further review the principles of FAIR data and how they are managed in research centers. We also discuss the types of problems that researchers encounter, and what an information professional can do to assist them. At present, the vast majority of centers subscribe to the FAIR principles. However, both center and researcher face the arduous task of understanding, managing, and implementing the model. They must know data formats and standards. For a correct description and to facilitate data retrieval and interoperability, they must know about different types of metadata schemas. They must know about digital preservation and specific aspects of knowledge and information management. In addition, there are also ethical issues, intellectual property, and cultural differences. All these controversies translate into extra workload for researchers, who only get a return in the form of citations. It is critical to note that these information professionals can play a key role in the proper management of research data, and can help achieve the objectives described in the principles: making data findable, accessible, interoperable, and reusable.

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Open research data repositories: Practices, norms, and metadata for sharing images

Cited by 17 publications

References 35 publications

Data sharing and reuse practices: disciplinary differences and improvements needed

Data sharing and reuse practices: disciplinary differences and improvements needed

Data and reproducibility. Interpretation of international guidelines and journals’ best policies and practices

Fair Data: History and Present Context

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