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Journal articles on the topic 'Open Science Data'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Serbe-Kamp, Étienne, Jens Bemme, Daniel Pollak, and Katja Mayer. "Open Citizen Science: fostering open knowledge with participation." Research Ideas and Outcomes 9 (January 23, 2023): e96476. https://doi.org/10.3897/rio.9.e96476.

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Citizen Science or community science has been around for a long time. The scope of community involvement in Citizen Science initiatives ranges from short-term data collection to intensive engagement to delve into a research topic together with scientists and/or other volunteers. Although many volunteer researchers have academic training, it is not a prerequisite for participation in research projects. It is important to adhere to scientific standards, which include, above all, transparency with regard to the methodology of data collection and public discussion of the results, and open educatio

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2

ITSUMURA, Hiroshi. "Open access, open data and open science." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 27, no. 3 (2015): 90–95. http://dx.doi.org/10.3156/jsoft.27.3_90.

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Wittenburg, Peter. "Open Science and Data Science." Data Intelligence 3, no. 1 (2021): 95–105. http://dx.doi.org/10.1162/dint_a_00082.

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Data Science (DS) as defined by Jim Gray is an emerging paradigm in all research areas to help finding non-obvious patterns of relevance in large distributed data collections. “Open Science by Design” (OSD), i.e., making artefacts such as data, metadata, models, and algorithms available and re-usable to peers and beyond as early as possible, is a pre-requisite for a flourishing DS landscape. However, a few major aspects can be identified hampering a fast transition: (1) The classical “Open Science by Publication” (OSP) is not sufficient any longer since it serves different functions, leads to

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4

Murray-Rust, Peter. "Open Data in Science." Serials Review 34, no. 1 (2008): 52–64. http://dx.doi.org/10.1080/00987913.2008.10765152.

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Schindler, F., S. Pari, S. Meissl, G. Smith, E. Dobrowolska, and A. Anghelea. "OPEN SCIENCE DATA CATALOGUE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 13, 2023): 997–1003. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-997-2023.

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Abstract. Open Science is a catalyst for innovation. Across the Earth Observation value chain, from R&amp;D to prototyping new products and development of commercial applications, openness can play an important role by promoting long-term sustainable, community-contributed science and technology. The FAIR principles provide essential support to implementing Open Science, by offering guidelines for how researchers can adapt their EO and Earth Science practice to enable that their work (taking place increasingly in the cloud) and results are discovered, accessed, used, and reproduced by othe

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Banović, Jelena. "The Future of Science – Open Science and Open Data." Infotheca 20, no. 1-2 (2020): 47–55. http://dx.doi.org/10.18485/infotheca.2020.20.1_2.3.

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7

Schmelling, Nicolas. "Data Intensive Science." Research Ideas and Outcomes 3 (February 1, 2017): e12032. https://doi.org/10.3897/rio.3.e12032.

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A proposal to create a full-semester zero-entry level course about the responsible handling of research data and the associated analyses, storage, and sharing. The syllabus will comprise open science workflows, the creation of data management plans, as well as the addressing issues about reproducibility and data sharing in science. The course and all its materials will be licensed under CC-BY or if possible under CC-0.

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Fischer, Caroline, Simon David Hirsbrunner, and Vanessa Teckentrup. "Producing Open Data." Research Ideas and Outcomes 8 (November 17, 2022): e86384. https://doi.org/10.3897/rio.8.e86384.

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Open data offer the opportunity to economically combine data into large-scale datasets, fostering collaboration and re-use in the interest of treating researchers' resources as well as study participants with care. Whereas advantages of utilising open data might be self-evident, the production of open datasets also challenges individual researchers. This is especially true for open data that include personal data, for which higher requirements have been legislated. Mainly building on our own experience as scholars from different research traditions (life sciences, social sciences and humanitie

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Zhao, Weijie. "Open data for better science." National Science Review 5, no. 4 (2018): 593–97. http://dx.doi.org/10.1093/nsr/nwy059.

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ABSTRACT The past two decades have seen increasing interests in open data. Many scientists believe that the original research data should be properly organized and opened to the public and researchers throughout the world, and, once the open-data strategies are put into practice, the entire scientific research enterprise could be transformed. Driven by the trend of data sharing many platforms and repositories have been established. Universities, funding agencies and academic journals are also taking an active role in facilitating data sharing. In this forum discussion organized by National Sci

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10

Koribalski, Bärbel S. "Open Astronomy and Big Data Science." Proceedings of the International Astronomical Union 15, S367 (2019): 227–30. http://dx.doi.org/10.1017/s1743921321000879.

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AbstractOpen Astronomy is an important and valuable goal, including the availability of refereed science papers and user-friendly public astronomy data archives. The latter allow and encourage interested researchers from around the world to visualise, analyse and possibly download data from many different science and frequency domains. With the enormous growth of data volumes and complexity, open archives are essential to explore ideas and make discoveries. Open source software is equally important for many reasons, including reproducibility and collaboration. I will present examples of open a

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Stanchev, Peter, Hristiyaniya Ancheva, Radoslav Pavlov, and George Simeonov. "The Eleventh National Information Day: Open Science, Open Data, Open Access, Bulgarian Open Science Cloud." Digital Presentation and Preservation of Cultural and Scientific Heritage 10 (September 13, 2020): 275–82. http://dx.doi.org/10.55630/dipp.2020.10.24.

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The paper gives an overview the current landscape and the activities on national and institutional level regarding Open Science, Open Access to scientific information, Open Data and the overall development of the Bulgarian Open Science Cloud.

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Stanchev, Peter, Hristiyaniya Ancheva, and Aneta Karaivanova. "The 12th National Information Day: Open Science, Open Data, Open Access, Bulgarian Open Science Cloud." Digital Presentation and Preservation of Cultural and Scientific Heritage 11 (September 10, 2021): 333–40. http://dx.doi.org/10.55630/dipp.2021.11.33.

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The paper gives an overview the current landscape and the activities on national and institutional level regarding Open Science, Open Access to scientific information, Open Data and the overall development of the Bulgarian Open Science Cloud.

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13

Stanchev, Peter, Karina Angelieva, Yanita Zherkova, Radoslav Pavlov, and George Simeonov. "The Tenth National Information Day: Open Science, Open Data, Open Access, Bulgarian Open Science Cloud." Digital Presentation and Preservation of Cultural and Scientific Heritage 9 (September 13, 2019): 403–8. http://dx.doi.org/10.55630/dipp.2019.9.44.

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The paper presents the current state of Bulgarian Open access (OA) activities on Open Science, Open Data, Open Access and Bulgarian Open Science Cloud. Discussion points for the Tenth National Information Day are highlighted.

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Stanchev, Peter, Aneta Karaivanova, Yanita Zherkova, Hristiyaniya Klisarova, Radoslav Pavlov, and Georgi Simeonov. "The 13th National Information Day: Open Science, Open Data, Open Access, Bulgarian Open Science Cloud." Digital Presentation and Preservation of Cultural and Scientific Heritage 12 (September 7, 2022): 309–16. http://dx.doi.org/10.55630/dipp.2022.12.30.

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The paper gives an overview the current landscape and the activities on national and institutional level regarding Open Science, Open Access to scientific information, Open Data and the overall development of the Bulgarian Open Science Cloud.

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Stanchev, Peter, Aneta Karaivanova, Yanita Zherkova, et al. "The 15th National Information Day: Open Science, Open Data, Open Access, Bulgarian Open Science Cloud." Digital Presentation and Preservation of Cultural and Scientific Heritage 14 (September 5, 2024): 313–22. http://dx.doi.org/10.55630/dipp.2024.14.31.

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The paper gives an overview on the current landscape and the activities on both national and institutional level regarding Open Science, Open Access to scientific information, Open Data, and the Bulgarian Open Science Cloud.

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Stanchev, Peter, Aneta Karaivanova, Yanita Zherkova, et al. "The 14th National Information Day: Open Science, Open Data, Open Access, Bulgarian Open Science Cloud." Digital Presentation and Preservation of Cultural and Scientific Heritage 13 (September 1, 2023): 343–52. http://dx.doi.org/10.55630/dipp.2023.13.36.

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The paper gives an overview on the current landscape and the activities on national and institutional level regarding Open Science, Open Access to scientific information, Open Data, Bulgarian Open Science Cloud.

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17

MIYAIRI, Nobuko. "Open science and scientific data." Journal of Information Processing and Management 57, no. 2 (2014): 80–89. http://dx.doi.org/10.1241/johokanri.57.80.

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18

Uhlir, Paul F., and Peter Schröder. "Open Data for Global Science." Data Science Journal 6 (2007): OD36—OD53. http://dx.doi.org/10.2481/dsj.6.od36.

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19

Rockhold, Frank, Christina Bromley, Erin K. Wagner, and Marc Buyse. "Open science: The open clinical trials data journey." Clinical Trials 16, no. 5 (2019): 539–46. http://dx.doi.org/10.1177/1740774519865512.

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Open data sharing and access has the potential to promote transparency and reproducibility in research, contribute to education and training, and prompt innovative secondary research. Yet, there are many reasons why researchers don’t share their data. These include, among others, time and resource constraints, patient data privacy issues, lack of access to appropriate funding, insufficient recognition of the data originators’ contribution, and the concern that commercial or academic competitors may benefit from analyses based on shared data. Nevertheless, there is a positive interest within an

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20

Hansen, Sara, Nico Franz, and Anna Monfils. "Early Career Scientists are Critical to the FAIR Data Pathway." Biodiversity Information Science and Standards 6 (August 1, 2022): e90989. https://doi.org/10.3897/biss.6.90989.

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Biodiversity data that meet the principles of Findability, Accessibility, Interoperability, and Reusability (FAIR) have tremendous potential to facilitate integrative science addressing large-scale biodiversity challenges. In order to increase the amount, breadth, and quality of FAIR biodiversity data, we must look to the individuals responsible for creating, sharing, and publishing their data. An open conversation and collaboration among those generating data and those using, extending, and curating data is critical (Leonelli 2016). Graduate students and other early career scientists often wo

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21

Light, Robert P., David E. Polley, and Katy Börner. "Open data and open code for big science of science studies." Scientometrics 101, no. 2 (2014): 1535–51. http://dx.doi.org/10.1007/s11192-014-1238-2.

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22

Miyazaki, Masaru. "Linked Open Data." Journal of the Institute of Image Information and Television Engineers 70, no. 1 (2016): 153–56. http://dx.doi.org/10.3169/itej.70.153.

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23

Yaroshenko, Tetiana. "Open Access, Open Science, Open Data: How it Was and Where We are Going." Ukrainian Journal on Library and Information Science, no. 8 (December 20, 2021): 10–26. https://doi.org/10.31866/2616-7654.8.2021.247582.

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Open Access to scientific information, transparency of research processes and data is one of the most important conditions for the progress of science and scientific communication, the basis of international collaboration of researchers globally. The COVID-19 global pandemic has once again highlighted the need for open, efficient and equal access to scientific information for researchers, regardless of geographical, gender or any other constraints, promoting the exchange of scientific knowledge and data, scientific cooperation and scientific decision-making, knowledge and open data. The Intern

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24

Reiter-Pázmándy, Matthias. "Data Access for the Social Sciences in Austria. Open Data, Closed Data, Research Infrastructures and Re-Use." Österreichische Zeitschrift für Politikwissenschaft 50, no. 1 (2021): 15. http://dx.doi.org/10.15203/ozp.3737.vol50iss1.

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Open science and open access to research data are important aspects of research policy in Austria. In the last years, the social sciences have seen the building of research infrastructures that generate data and archives that store data. Data standards have been established, several working groups exist and a number of activities aim to further develop various aspects of open science, open data and access to data. However, some barriers and challenges still exist in the practice of sharing research data. One aspect that should be emphasised and incentivised is the re-use of research data.

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25

Vuckovic, Juros Tanja. "Challenges of qualitative data sharing in social sciences." European Science Editing 48 (April 4, 2022): e77781. https://doi.org/10.3897/ese.2022.e77781.

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Open science offers hope for new accountability and transparency in social sciences. Nevertheless, it still fails to fully consider the complexities of qualitative research, as exemplified by a reflection on sensitive qualitative data sharing. As a result, the developing patterns of rewards and sanctions promoting open science raise concern that quantitative research, whose "replication crisis" brought the open science movement to life, will benefit from "good science" re-evaluations at the expense of other research epistemologies, despite the necessity to define accountability and transparenc

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26

L. Stanchev, Peter, Zlatina Karova, Yanita Zherkova, Radoslav Pavlov, and George Simeonov. "The Eight National Information Day: Open Science, Open Data, Open Access." Digital Presentation and Preservation of Cultural and Scientific Heritage 7 (September 10, 2017): 273–78. http://dx.doi.org/10.55630/dipp.2017.7.28.

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27

Stanchev, Peter, Milena Damyanova, Yanita Zherkova, et al. "The Ninth National Information Day: Open Science, Open Data, Open Access." Digital Presentation and Preservation of Cultural and Scientific Heritage 8 (September 3, 2018): 235–40. http://dx.doi.org/10.55630/dipp.2018.8.24.

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28

Molloy, Jennifer C. "The Open Knowledge Foundation: Open Data Means Better Science." PLoS Biology 9, no. 12 (2011): e1001195. http://dx.doi.org/10.1371/journal.pbio.1001195.

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29

Zipper, Samuel C., Kaitlin Stack Whitney, Jillian M. Deines, et al. "Balancing Open Science and Data Privacy in the Water Sciences." Water Resources Research 55, no. 7 (2019): 5202–11. http://dx.doi.org/10.1029/2019wr025080.

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30

Kim, Kihong. "Open data policy of Science Editing." Science Editing 5, no. 2 (2018): 91. http://dx.doi.org/10.6087/kcse.132.

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31

KITSUREGAWA, Masaru. "Open Science and Research Data Platforms." TRENDS IN THE SCIENCES 24, no. 10 (2019): 10_86–10_89. http://dx.doi.org/10.5363/tits.24.10_86.

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32

Plale, Beth A., Eleanor Dickson, Inna Kouper, et al. "Safe Open Science for Restricted Data." Data and Information Management 3, no. 1 (2019): 50–60. http://dx.doi.org/10.2478/dim-2019-0005.

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Abstract Open science is prompting wide efforts to make data from research available for broader use. However, sharing data is complicated by important protections on the data (e.g., protections of privacy and intellectual property). The spectrum of options existing between data needing to be fully open access and data that simply cannot be shared at all is quite limited. This paper puts forth a generalized remote secure enclave as a socio-technical framework consisting of policies, human processes, and technologies that work hand in hand to enable controlled access and use of restricted data.

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33

Crosas, Mercè, Gary King, James Honaker, and Latanya Sweeney. "Automating Open Science for Big Data." ANNALS of the American Academy of Political and Social Science 659, no. 1 (2015): 260–73. http://dx.doi.org/10.1177/0002716215570847.

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The vast majority of social science research uses small (megabyte- or gigabyte-scale) datasets. These fixed-scale datasets are commonly downloaded to the researcher’s computer where the analysis is performed. The data can be shared, archived, and cited with well-established technologies, such as the Dataverse Project, to support the published results. The trend toward big data—including large-scale streaming data—is starting to transform research and has the potential to impact policymaking as well as our understanding of the social, economic, and political problems that affect human societies

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34

Hufton, Andrew L. "Open-source software for data science." Patterns 6, no. 7 (2025): 101324. https://doi.org/10.1016/j.patter.2025.101324.

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35

Roman, Dumitru, Neal Reeves, Esteban Gonzalez, et al. "An analysis of pollution Citizen Science projects from the perspective of Data Science and Open Science." Data Technologies and Applications 55, no. 5 (2021): 622–42. https://doi.org/10.1108/DTA-10-2020-0253.

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<strong><em>Purpose</em></strong>: Citizen Science – public participation in scientific projects – is becoming a global practice engaging volunteer participants, often non-scientists, with scientific research. Citizen Science is facing major challenges, such as quality and consistency, to reap open the full potential of its outputs and outcomes, including data, software, and results. In this context, the principles put forth by Data Science and Open Science domains are essential for alleviating these challenges, which have been addressed at length in these domains. The purpose of t

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36

Radchenko, Irina. "Использование открытых данных в научных исследованиях". Информационное общество 1 (15 січня 2013): 93–101. https://doi.org/10.5281/zenodo.33778.

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<strong>Abstracts</strong> The article gives definitions of open and linked data. The author refers to the history and background of the development of open data approach and its use and application in scientific research. In order to technically implement the idea of open data the article examines Linked Open Data concept used to publish sets of linked open data.

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37

Guiliani, Gregory, Gilberto Camara, Brian Killough, and Stuart Minchin. "Earth Observation Open Science: Enhancing Reproducible Science Using Data Cubes." Data 4 (November 5, 2019): 147. https://doi.org/10.3390/data4040147.

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Earth Observation Data Cubes (EODC) have emerged as a promising solution to efficiently and effectively handle Big Earth Observation (EO) Data generated by satellites and made freely and openly available from different data repositories. The aim of this Special Issue, “Earth Observation Data Cube”, in Data, is to present the latest advances in EODC development and implementation, including innovative approaches for the exploitation of satellite EO data using multi-dimensional (e.g., spatial, temporal, spectral) approaches. This Special Issue contains 14 articles covering

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38

Khoo, Shaun Yon-Seng. "How we are building Neuroanatomy and Behaviour for rigorous and open science." Neuroanatomy and Behaviour 3 (September 9, 2021): e27. https://doi.org/10.35430/nab.2021.e27.

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<em>Neuroanatomy and Behaviour</em> was founded to be a journal for rigorous and open science. In 2021, all of the empirical papers published engaged in at least one open science practice, such as open data or open protocols. The papers published have been carefully reviewed by two experts, but may also be sent to additional specialist reviewers for specific tasks, such as checking references or statistical approaches. In 2021, <em>Neuroanatomy and Behaviour</em> reached a key milestone and was accepted into the Directory of Open Access Journals, the world’s leading database of trustwort

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Kuchma, Iryna. "Key Aspects and Approaches of Open Access, Open Data and Open Science." Digital Presentation and Preservation of Cultural and Scientific Heritage 4 (September 30, 2014): 314–21. http://dx.doi.org/10.55630/dipp.2014.4.40.

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Basaglia, Tullio, and Anna Maria Tammaro. "Open Science, Open Data and Open Access infrastructure: interview with Tullio Basaglia." Digital Library Perspectives 40, no. 3 (2024): 484–88. http://dx.doi.org/10.1108/dlp-08-2024-148.

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41

Bolton, Rosie, Simone Campana, Andrea Ceccanti, et al. "ESCAPE prototypes a data infrastructure for open science." EPJ Web of Conferences 245 (2020): 04019. http://dx.doi.org/10.1051/epjconf/202024504019.

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The European-funded ESCAPE project will prototype a shared solution to computing challenges in the context of the European Open Science Cloud. It targets Astronomy and Particle Physics facilities and research infrastructures and focuses on developing solutions for handling Exabyte scale datasets. The DIOS work package aims at delivering a Data Infrastructure for Open Science. Such an infrastructure would be a non HEP specific implementation of the data lake concept elaborated in the HSF Community White Paper and endorsed in the WLCG Strategy Document for HL-LHC. The science projects in ESCAPE

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42

Paxton, Alexandra, and Alexa Tullett. "Open Science in Data-Intensive Psychology and Cognitive Science." Policy Insights from the Behavioral and Brain Sciences 6, no. 1 (2019): 47–55. http://dx.doi.org/10.1177/2372732218790283.

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Today, researchers can collect, analyze, and share more data than ever before. Not only does increasing technological capacity open the door to new data-intensive perspectives in cognitive science and psychology (i.e., research that takes advantage of complex or large-scale data to understand human cognition and behavior), but increasing connectedness has sparked exponential increases in the ease and practice of scientific transparency. The growing open science movement encourages researchers to share data, materials, methods, and publications with other scientists and the wider public. Open s

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43

Schönbrodt, Felix D., and Anne Scheel. "FAQ zu Open Data und Open Science in der Sportpsychologie." Zeitschrift für Sportpsychologie 24, no. 4 (2017): 134–39. http://dx.doi.org/10.1026/1612-5010/a000217.

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Präambel: Viele Diskussionspunkte um Open Data lassen sich grob in zwei Perspektiven einteilen. (A) die Qualitätsperspektive, bzw. die Gemeinwohlperspektive: Wie können wir gute Wissenschaft machen und echtes Wissen generieren? Was können wir aus der aktuellen Replikationskrise lernen und in Zukunft besser machen? Die andere Perspektive könnte man als (B) individuell-strategische Perspektive bezeichnen: Was bedeuten die neuen Forschungspraktiken und -anforderungen für die individuellen Karrieren von Forscherinnen und Forschern, insbesondere aus dem Nachwuchs? Wo liegen strategische Vor- oder N

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Jeffery, Keith G., Anne Asserson, Nikos Houssos, Valerie Brasse, and Brigitte Jörg. "From Open Data to Data-intensive Science through CERIF." Procedia Computer Science 33 (2014): 191–98. http://dx.doi.org/10.1016/j.procs.2014.06.032.

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Frederick, Donna Ellen. "Data, Open Science and libraries – The Data Deluge Column." Library Hi Tech News 33, no. 8 (2016): 11–16. http://dx.doi.org/10.1108/lhtn-09-2016-0040.

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Purpose For those immersed in the environment of academic and research libraries, the word “data” seems to be everywhere. One hears about linked data, big data, open data, proprietary data, research data, metadata, geospatial data, data repositories, etc. Design/methodology/approach Some libraries even have data librarians and data services departments. Findings The author of this column wonders if she were to collect all of the library and information science literature published in the past three years and plug it into a word cloud app, which of the two, i.e. “data” or “books”, would be disp

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46

Xia, Jingfeng, and Ying Liu. "Usage Patterns of Open Genomic Data." College & Research Libraries 74, no. 2 (2013): 195–207. http://dx.doi.org/10.5860/crl-324.

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This paper uses Genome Expression Omnibus (GEO), a data repository in biomedical sciences, to examine the usage patterns of open data repositories. It attempts to identify the degree of recognition of data reuse value and understand how e-science has impacted a large-scale scholarship. By analyzing a list of 1,211 publications that cite GEO data to support their independent studies, it discovers that free data can support a wealth of high-quality investigations, that the rate of open data use keeps growing over the years, and that scholars in different countries show different rates of complyi

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47

Pereyra Irujo, Gustavo, Paz Bernaldo, Luciano Velázquez, Antoni Pérez, Celeste Molina Favero, and Alejandrina Egozcue. "Open Science Drone Toolkit: Open source hardware and software for aerial data capture." PLOS ONE 18, no. 4 (2023): e0284184. http://dx.doi.org/10.1371/journal.pone.0284184.

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Despite the increased access to scientific publications and data as a result of open science initiatives, access to scientific tools remains limited. Uncrewed aerial vehicles (UAVs, or drones) can be a powerful tool for research in disciplines such as agriculture and environmental sciences, but their use in research is currently dominated by proprietary, closed source tools. The objective of this work was to collect, curate, organize and test a set of open source tools for aerial data capture for research purposes. The Open Science Drone Toolkit was built through a collaborative and iterative

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48

Kuchma, Iryna. "Policy Framework and Roadmap for Open Access, Open Research Data and Open Science." Digital Presentation and Preservation of Cultural and Scientific Heritage 4 (September 30, 2014): 333–52. http://dx.doi.org/10.55630/dipp.2014.4.45.

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49

Li, J. W. "Open Data: A Sustainable Model." Science 342, no. 6162 (2013): 1042. http://dx.doi.org/10.1126/science.342.6162.1042-a.

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Fuhrmann, Patrick, and Sophie Servan. "Supporting open science." EU Research - The necessity of science in uncertain times Summer 2022, no. 31 (2022): 48–50. http://dx.doi.org/10.56181/gsvn2811.

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The ability to share information is crucial to scientific progress, yet it is not easy to manage and share the vast amounts of data generated at Photon and Neutron Research Infrastructures (PaN RIs). We spoke to Professor Dr Patrick Fuhrmann and Dr Sophie Servan about the work of the ExPaNDS project in creating a framework for effective data management and supporting open science

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