It Takes a Village! Editorship, Advocacy, and Research in Running an Open Access Data Journal

Author:

Wigdorowitz Mandy12ORCID,Ribary Marton3ORCID,Farina Andrea4ORCID,Lima Eleonora5ORCID,Borkowski Daniele6ORCID,Marongiu Paola7ORCID,Sorensen Amanda H.8ORCID,Timis Christelle9ORCID,McGillivray Barbara4ORCID

Affiliation:

1. Theoretical and Applied Linguistics, University of Cambridge, Cambridge CB2 1TN, UK

2. Department of Psychology, University of Johannesburg, Johannesburg 2092, South Africa

3. Department of Law and Criminology, Royal Holloway, University of London, London TW20 0EX, UK

4. Department of Digital Humanities, King’s College London, London WC2R 2LS, UK

5. Trinity College Dublin, The University of Dublin, D02 PN40 Dublin, Ireland

6. Department of Greek & Latin, University College London, London WC1E 6BT, UK

7. Institute of Language Sciences, University of Neuchâtel, 2000 Neuchâtel, Switzerland

8. College of Information (INFO), University of Maryland, College Park, MD 20742, USA

9. Department of Contemporary and Digital History, University of Luxembourg, 4365 Esch-sur-Alzette, Luxembourg

Abstract

Partaking in the editorial process of an academic journal is both a challenging and rewarding experience. It takes a village of dedicated individuals with a vested interest in the dissemination and sharing of high-quality research outputs. As members of the editorial team of an open access data journal, we reflect on the emergence of data-driven open research, a new journal genre (data paper), and a new journal type (data journal) in the Arts, Humanities, and Social Sciences (AHSS). Access to data—the currency of empirical research—is valuable to the research community, crucial to scientific integrity, and leads to cumulative advancements in knowledge. It therefore requires significant investment and appropriate venues for dissemination. We illustrate the necessity of raising awareness about data-driven open research and best practices in data-driven publishing. We discuss how it involves building a community of authors and readers, establishing a company of editors, reviewers, and support staff, and passing on the practice, which has been challenging the status quo in research and publishing. Potential future directions are considered, including data peer review and reward, recognition, and funding structures for data sharing.

Funder

2022 Best Paper Award

Publisher

MDPI AG

Reference44 articles.

1. Mayer-Schönberger, V., and Cukier, K. (2013). Big Data: A Revolution That Will Transform How We Live, Work, and Think, Houghton Mifflin Harcourt.

2. Defining data for Humanists: Text, artifact, information or evidence?;Owens;J. Digit. Humanit.,2011

3. Big? Smart? Clean? Messy? Data in the Humanities;J. Digit. Humanit.,2013

4. DeFanti, T., Grafton, A., Levy, T.E., Manovich, L., and Rockwood, A. (2014). Quantitative Methods in the Humanities and Social Sciences, Springer.

5. Lemercier, C., and Zalc, C. (2019). Quantitative Methods in the Humanities: An Introduction, University of Virginia Press.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3