“Open Infrastructures for Responsible Research Assessment: the CoARA Working Group publishes Its First Report”


The OI4RRA report stresses that transitioning to OIs requires institutions and stakeholders to identify the advantages that OIs offer in comparison with closed systems. These can be summarised in four key contributions.

  • In contrast to the traditional focus on publications and journal-based metrics, OIs support the consideration of a broad range of scholarly contributions in research evaluations.
  • OIs have the ability to integrate data-driven indicators with the nuance of contextual and narrative based information.
  • Thirdly, interoperability paired with community-driven governance for evaluations promote the uptake of best practices and foster trust.
  • Lastly, an emphasis on transparent data automation streamlines workflows, allowing researchers to devote more time to actual research.

https://tinyurl.com/vasmmrsh

Open Infrastructures for Responsible Research Assessment: Principles and Framework

k

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

“Data and Code Availability in Political Science Publications from 1995 to 2022”


In this paper, we assess the availability of reproduction archives in political science. By “reproduction archive,” we mean the data and code supporting quantitative research articles that allows others to reproduce the computations described in the published paper. We collect a random sample of quantitative research articles published in political science from 1995 to 2022. We find that—even in 2022—most quantitative research articles do not point a reproduction archive. However, practices are improving. In 2014, when the DA-RT symposium was published in PS, about 12% of quantitative research articles point to the data and code. Eight years later, in 2022, that has increased to 31%. This underscores a massive shift in norms, requirements, and infrastructure. Still, only a minority of articles share the supporting data and code.

https://doi.org/10.31235/osf.io/a5yxe_v2

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

“Peer Review of Data Papers: Does It Achieve Expectations for Facilitating Data Sharing and Reuse?”


This paper presents a qualitative study of open peer review reports of data papers in a data journal Earth System Science Data. We examine to what extent the actual review practices of data papers align with identifying the most valuable datasets and promoting data reuse. We conclude that peer reviewers adopted a variety of criteria to evaluate data papers, but it is still challenging for reviewers to identify the most valuable datasets that should be reused. In addition, our findings demonstrate the correlation between data paper evaluations and subsequent reuse of the underlying datasets.

https://dx.doi.org/10.2139/ssrn.5130257

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

U.S. Research Data Summit: Strengthening Cooperation Across Organizations and Sectors: Proceedings of a Workshop


On October 10-11, 2023, the National Academies of Sciences, Engineering, and Medicine hosted the U.S. Research Data Summit at the National Academy of Sciences Building in Washington, DC. The summit was undertaken by a planning committee organized under the U.S. National Committee for CODATA. The summit was informed by input from 29 organizations, including leaders from federal government agencies, the private sector, public and nonprofit organizations, and research institutions. This publication summarizes the presentations and discussion of the summit.

https://tinyurl.com/yjbuhkwz

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

“Unveiling the Report Findings from IOI’s Study on the State of Open Research Software Infrastructure”


Key recommendations

  • Surface hidden information – One of the biggest challenges we discovered during the study is a scarcity of available, standardized, and meaningful data. This information gap limits the visibility of what is happening in research software and in the development of infrastructure to support it. There is a pressing need to give time and attention at the field level to identify and subsequently gather the needed data to fill the information gaps.
  • Strengthen the scaffolding – As the field matures, its actors need stronger scaffolding to support norms and activities. Scaffolding, in this instance, can be defined as elements that, with appropriate instantiation, might become the backbone (social, technical, administrative) infrastructure supporting the field. There is a need to shift the priority from creating to integrating and maintaining, and to encourage and enable consolidation, specialization, mergers, and handoffs.
  • Grow the market – One of the challenges we have noticed is that research software infrastructures are leaning on the same funding sources, and those funding sources may not last. We’ve seen this in other fields as well. There is a need to figure out how to identify the research software users and how those users connect to customers. Understanding how that user connects to the dollars necessary to keep the research infrastructures running is also essential. This is not about profit but keeping things running and having a dependable system.
  • Invest in coordination – Research software is still in its infancy and lacks well-established practices, scaffolding, and market structures. With these conditions, no single actor can succeed alone in this evolving field, especially amid today’s challenging fiscal and political landscape for open science. Philanthropic funders can step in with targeted investments that build the foundational architecture of research software infrastructure. Such investments would bolster individual projects, programs, and organizations and create the necessary environment — providing time, space, tools, and structured support — across training, packaging, hosting, socialization, and advocacy) to collaborate across disciplines and geographies.

https://tinyurl.com/bddnzd7c

The State of Open Research Software Infrastructure

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

“California Universities and Oxford University Press Sign Landmark Open Access Agreement”


The 10-campus University of California system (UC), 20 of 23 California State University (CSU) campuses, and 30 private academic and research institutions represented by the Statewide California Electronic Library Consortium (SCELC) have reached a comprehensive four-year transformative open access agreement with Oxford University Press (OUP). The agreement begins this month and will provide affiliated researchers with access to OUP’s world-leading journals and support for publishing their work open access. . . .

This major agreement harnesses the resources of research institutions, private liberal arts colleges, comprehensive universities, and special libraries across California by redirecting existing library subscription funds to support authors publishing open access. The agreement enables authors at the participating institutions to publish articles using an open access license at reduced or no cost in more than 500 hybrid and fully open access OUP journals. Authors with grant funds available will pay a discounted open access publishing fee across OUP’s hybrid and fully open access journals. Authors who do not have grant funds available will be able to publish open access in hybrid journals at no cost to them.

https://tinyurl.com/f5tjynus

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

“DeepGreen—A Data Hub for the Distribution of Scholarly Articles From Publishers to Open Access Repositories in Germany”


  • DeepGreen is an automated delivery service for open access articles. Originally conceived to take advantage of the so-called open access component—a secondary publication right in Alliance and National licences in Germany to promote green open access—it aims to streamline open access processes by automating the distribution of full-text articles and metadata from publishers to repositories.
  • The service, developed by a consortium and funded by the German Research Foundation (DFG) in its initial phase, has successfully established itself as a national service, facilitating open access content distribution and contributing to Germany’s open access infrastructure.
  • As of December 2024, DeepGreen distributes articles from 14 publishers to 84 institutional repositories and 6 subject-specific repositories.
  • This article describes the role of the DeepGreen service in Germany, its collaboration with publishers and the potential of automated processes for storing articles in open access repositories, which, as publicly owned institutional infrastructures, ensure sustainable access and provide secure, redundant storage.

https://doi.org/10.1002/leap.70000

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

“Questioning the Predator of the Predatory Journals: How Fair Are Global Publishing Standards?”


What is concerning now is far from just publishing in predatory journals. It is the new emerging trend where academics and non-academics misuse the term ‘predatory’ by applying it to any lesser-known publishers or those publishers mentioned in blog lists of predatory journals. This oversimplification can blur the boundary between what is actually predatory and what is not. It prevents from having any possible scholarly discussions. It can delegitimise any legitimate emerging journal and even discourage researchers who lack funding from attaining any form of publication. Which means that this misuse of the term, even unintentionally, has the potential to marginalise academic communities. Considering this trend, it is vital to educate ourselves on the distinction between predatory journals and what is regarded as a new, lesser-known emerging journal.

https://doi.org/10.1002/leap.1662

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

“Tracking Transformative Agreements through Open Metadata: Method and Validation Using Dutch Research Council NWO Funded Papers”


Transformative agreements have become an important strategy in the transition to open access, with almost 1,200 such agreements registered by 2025. Despite their prevalence, these agreements suffer from important transparency limitations, most notably article-level metadata indicating which articles are covered by these agreements. Typically, this data is available to libraries but not openly shared, making it difficult to study the impact of these agreements. In this paper, we present a novel, open, replicable method for analyzing transformative agreements using open metadata, specifically the Journal Checker tool provided by cOAlition S and OpenAlex. To demonstrate its potential, we apply our approach to a subset of publications funded by the Dutch Research Council (NWO) and its health research counterpart ZonMw. In addition, the results of this open method are compared with the actual publisher data reported to the Dutch university library consortium UKB. This validation shows that this open method accurately identified 89% of the publications covered by transformative agreements, while the 11% false positives shed an interesting light on the limitations of this method. In the absence of hard, openly available article-level data on transformative agreements, we provide researchers and institutions with a powerful tool to critically track and evaluate the impact of these agreements.

https://doi.org/10.31222/osf.io/tz6be_v1

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

“Hurdles to Open Access Publishing Faced by Authors: A Scoping Literature Review from 2004 to 2023”


Over the past two decades, numerous widespread efforts and individual contributions to shift scientific publishing to open access (OA) faced a number of obstacles. Due to the complexity of knowledge production dimension and knowledge dissemination, the challenges encountered by researchers, publishers, and readers differ. While examples of such barriers exist across multiple parties, no attempt has been made to synthesize these for active researchers. Thus, this scoping review explores the barriers documented in the scientific literature that researchers encounter in their pursuit of publishing open access. After screening 1,280 relevant sources, 113 papers were included in the review. A total of 82 distinct barriers were identified and grouped into four subclusters: Practical Barriers, Lack of Competency, Sentiment, and Policy & Governance. The largest cluster in terms of barriers assigned was Sentiment, accounting for 51.2% (n=42) of all barriers identified, suggesting that perceived barriers are the strongest determinants of publishing OA, while the most frequently occurring barrier was “high article processing charges”, reported in 88 papers. Furthermore, burdens faced specifically due to the location of the researcher were identified. Understanding and acknowledging these barriers is essential for their effective elimination or mitigation.

https://doi.org/10.31219/osf.io/vzefj_v1

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

How Can We Achieve Sustainable Funding for Open Access Books?”


Is the biggest blocker to open access (OA) for books actually the economics of it all? Book processing charges (BPCs) do not scale but they remain a significant method of paying to produce OA monographs for many researchers and libraries. However, in the last few years, we have seen several new initiatives emerge that seek to solve the problem posed by funding via BPCs alone. There is a proliferation of collective funding models for OA books, including Opening the Future, Open Book Collective, MIT Press’s D2O, JSTOR’s Path to Open and others. They all work differently, but they all offer alternatives to BPCs. In this article we explore the theme of sustainable funding for OA monographs, presenting a range of new models, and suggest that their normalization is well overdue. We also present the work of the library at Lancaster University on their new strategy supporting open access. While this article takes a somewhat UK-centric path, what is happening in the UK may be replicated in other countries and contexts. With demand increasing for monographs to be open this is a timely topic. The authors welcome discussion from publishers, libraries and other stakeholders.

https://doi.org/10.1629/uksg.673

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

“From Data Creator to Data Reuser: Distance Matters”


Sharing research data is necessary, but not sufficient, for data reuse. Open science policies focus more heavily on data sharing than on reuse, yet both are complex, labor-intensive, expensive, and require infrastructure investments by multiple stakeholders. The value of data reuse lies in relationships between creators and reusers. By addressing knowledge exchange, rather than mere transactions between stakeholders, investments in data management and knowledge infrastructures can be made more wisely. Drawing upon empirical studies of data sharing and reuse, we develop the metaphor of distance between data creator and data reuser, identifying six dimensions of distance that influence the ability to transfer knowledge effectively: domain, methods, collaboration, curation, purposes, and time and temporality. We explore how social and socio-technical aspects of these dimensions may decrease – or increase – distances to be traversed between creators and reusers. Our theoretical framing of the distance between data creators and prospective reusers leads to recommendations to four categories of stakeholders on how to make data sharing and reuse more effective: data creators, data reusers, data archivists, and funding agencies. ‘It takes a village’ to share research data – and a village to reuse data. Our aim is to provoke new research questions, new research, and new investments in effective and efficient circulation of research data; and to identify criteria for investments at each stage of data and research life cycles.

https://tinyurl.com/3429p526

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

“Charting Open Science Landscapes: A Systematized Review of US Academic Libraries’ Engagement in Open Research Practices”


Open Science aims to make research publicly accessible, transparent, and reusable, promoting collaboration across disciplines and fostering relationships among government, academia, industry, and society. International and regional reviews have explored the roles of academic libraries in promoting open science on both global and local scales. However, practices within U.S. academic libraries have not been examined comprehensively. This study addresses this gap. We employ a systematized literature review methodology to map U.S. academic library engagement in key areas of open science (e.g., open access, open data, open educational resources) and overlap analysis is used to assess shifts from discrete initiatives (e.g., open access, research data management) to holistic, integrated services that span the research lifecycle. Using a comprehensive search strategy, we identified 3,752 publications for inclusion in the study. We find that U.S. academic libraries are actively engaged in open science practices, with the most extensive involvement in open access and the provision of infrastructure to support open science. However, engagement in activities related to citizen science remains limited. Through thematic overlap analysis, we find that ~50% of publications report activities across two or more themes of open science, suggesting a possible shift toward more comprehensive practices. A key challenge reported by libraries is the need for continuous professional development to address technical skills gaps. As research needs and corresponding librarian responsibilities continue to evolve, maintaining librarian professional development opportunities will remain crucial for equipping librarians with the skills necessary to continue supporting and advancing open science initiatives.

https://osf.io/pv7k2/

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

“Wiley Launches Pilot Pricing Framework to Support Equitable OA Publishing for Researchers in Latin America”


The pilot program, which began on January 21, 2025, supports authors across 33 countries in Latin America, including in Mexico, South America, and the Caribbean, to publish research in Wiley’s portfolio of nearly 600 gold open access journals. Discounts on Article Publication Charges (APCs) are applied in direct relationship to the Purchasing Power Index (PPI) value of each participating country, informed by data from the World Bank International Comparison Program. The anticipated timeline for the pilot is 12 months, with a mid-term review to inform future actions.

https://tinyurl.com/3t8kkyfv

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

“Open But Hidden: Open Access Gaps in the National Science Foundation Public Access Repository”


Introduction: In 2022, the U.S. government released new guidelines for making publicly funded research open and available. For the National Science Foundation (NSF), these policies reinforce requirements in place since 2016 for supported research to be submitted to the Public Access Repository (PAR).

Methods: To evaluate the public access compliance of research articles submitted to the NSF-PAR, this study searched for NSF-PAR records published between 2017 and 2021 from two research intensive institutions. Records were reviewed to determine whether the PAR held a deposited copy, as required by the 2016 policies, or provided a link out to publisher-held version(s).

Results: A total of 841 unique records were identified, all with publicly accessible versions. Yet only 42% had a deposited PDF version available in the repository as required by the NSF 2016 Public Access Policy. The remaining 58% directed instead to publisher-held versions. In total, only 55% of record links labeled “Full Text Available” directed users to a publicly accessible version with a single click.

Discussion: Records within PAR do not clearly direct users to the publicly accessible full text. In almost half of records, the most prominently displayed link directed users to a paywall version, even when a publicly available version existed. Records accessible only through the CHORUS (Clearing House for the Open Research of the United States) initiative were further obscured by requiring specialized navigation of publisher-owned sites.

Conclusion: Despite having a repository mandate since 2016, NSF compliance rates remain low. Additional support and/or oversight is needed to address the additional requirements introduced under the 2022 memo.

https://doi.org/10.31274/jlsc.17767

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

“Moving Open Repositories out of the Blind Spot of Initiatives to Correct the Scholarly Record”


Open repositories were created to enhance access and visibility of scholarly publications, driven by open science ideals emphasising transparency and accessibility. However, they lack mechanisms to update the status of corrected or retracted publications, posing a threat to the integrity of the scholarly record. To explore the scope of the problem, a manually verified corpus was examined: we extracted all the entries in the Crossref × Retraction Watch database for which the publication date of the corrected or retracted document ranged from 2013 to 2023. This corresponded to 24,430 entries with a DOI, which we use to query Unpaywall and identify their possible indexing in HAL, an open repository (second largest institutional repository worldwide). In most cases (91%), HAL does not mention corrections. While the study needs broader scope, it highlights the necessity of improving the role of open repositories in correction processes with better curation practices. We discuss how harvesting operations and the interoperability of platforms can maintain the integrity of the entire scholarly record. Not only will the open repositories avoid damaging its reliability through ambiguous reporting, but on the contrary, they will also strengthen it.

https://doi.org/10.1002/leap.1655

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

OASPA: “Fully OA Journals Output Shrank in 2023, But Hybrid OA Made Up the Lost Ground”


The OASPA dataset shows that members collectively published almost 1.2m articles in 2023. But 2023 output grew by only 4% over 2022, which is one quarter of the previous year’s growth, and one tenth of the long-term average. . . .

Reported numbers of articles in fully OA journals [published by OASPA members] shrank for the first time in 2023. OA articles in hybrid journals continue to grow strongly, making up for the lost ground in fully OA and so total output grew overall. In 2023, the volume of articles in fully OA journals shrank by two thirds of a percent, compared with a growth of 14% the previous year. Hybrid OA articles grew by 22% in the same period, down slightly from 24% the previous year. Output grew by 4% overall, compared with 16% the previous year. . . .

In fully OA journals [published by OASPA members], the proportion of CC BY (just over 80% of output) and CC BY-NC-ND (around 10%) has been steady since 2018. CC BY fell back slightly in 2023, and that of CC BY-NC-ND grew slightly – but both by just 1 percentage point, so it’s too soon to tell if this represents a change to long-term trends. The proportion of CC BY-NC-ND licenses grew slightly: from 10% in 2021 and 2022 to 12% in 2023.

Licenses with some restrictions are significantly more prevalent in hybrid journals, although this trend is showing signs of reversing. Historically, more restrictive licenses were displacing the proportion of CC BY, which had fallen from around 75% of hybrid OA in 2014 to around 51% in 2019. However, in 2020 CC BY licenses recovered ground and now account for around 67% of Hybrid licenses (up from 62% the year before). CC BY appears to be displacing the other two Creative Commons licenses in hybrid OA. In 2023, the proportion of CC BY-NC-ND was down slightly to 23%, and CC BY-NC up slightly to 10%. CC BY now accounts for over two thirds of hybrid OA output, up from half in 2019.

https://tinyurl.com/55u5b8ue

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

Paywall: “Improved Open Access Support through a Popular Open Access Fund”


This paper describes results of a 2023 survey of authors who applied to the University of Nevada, Las Vegas (UNLV) Open Article Fund between July 2018 and June 2022. The author sought the respondents’ opinions and experiences in regard to the fund’s impact, value, and award criteria . . . also asking authors about their opinions of funder mandates and their participation in open science practices.

https://tinyurl.com/mvh7hr8d

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

Paywall: “OA Journals in Subscription-Based Full-Text Databases in 2024: An Analysis of EBSCO’s Academic Search Complete”


Two sets of samples from all the 3,481 peer-reviewed non-embargoed full-text journals in ASC were examined. One set is 10% random samples, and the other set is journals from major publishers excluding gold OA publishers. Both sets have similar results that over 70% are OA journals.

https://tinyurl.com/4t8u25yy

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

Paywall: “OER Librarianship: Examining OER Librarian Work, Motivations, and Origin Stories”


This qualitative study examines the motivations of librarians for becoming involved in the burgeoning OER textbook movement. It explores how librarians found themselves in their roles, the work entailed by those roles, the motivations that drive their work, and the ways that those motivations have shifted over the course of their time in their positions.

https://tinyurl.com/ydreswz3

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

"Assessing Opt-In Rates for Transformative Agreements"


With increasing requirements for open access (OA) by funders, academic libraries have begun piloting so-called “transformative agreements” with publishers. One type of agreement gives researchers at an institution read access to all content while also allowing them to publish articles OA in hybrid (and sometimes gold) OA journals without payment of an Article Processing Charge (APC). Such models often give corresponding authors from an institution the ability to opt in or out of making their article OA for hybrid journals. This article provides an assessment of two pilot transformative agreements at one large research institution that participated as a member of a consortium. It provides insight into opt-in rates overall for each publisher as well as breakdowns by disciplinary affiliation and rank of the researchers, as well as the combined impact of the agreement and other mechanisms on the overall OA availability of research at these publishers with researchers at the institution regardless of corresponding author status. The discussion includes a review of lessons learned and the overall benefits and challenges of working with such agreements.

https://doi.org/10.5860/lrts.69n1.8184

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

"A Decade of Open Access Policy at the Gates Foundation Based on Experimentation, Evidence and Evolution"


This article provides an in-depth look at the Gates Foundation’s open access (OA) policy journey as 2025 marks a decade of OA policy for the foundation. There have been two iterations of the policy – the original version that was launched in 2015 with a focus on gold OA, and which was then adapted in 2021 to reflect the Plan S principles, including limitations for publisher payments based on journal type and repository deposits. Now, in response to the ever-evolving needs of the scholarly ecosystem, the foundation is updating its policy again to strive for broader impact and to support practices that drive greater inclusion of scientists around the world, particularly those from low- and middle-income countries. This article will provide a deep dive into the decisions and data used to define a more equitable approach to dissemination of the research funded by the foundation.

https://doi.org/10.1629/uksg.690

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

"Preparing Institutions for the Transition: Consortial Cost-Sharing Models in Transformative Agreements in Austria"


Over the past ten years, the member institutions of the Austrian Academic Library Consortium (KEMÖ) have gradually opened up their researchers’ publications to the world, one publisher at a time. By pulling their resources together, KEMÖ members have successfully converted their subscription-only agreements, for the most part, to read and publish deals in a cost-neutral manner, which include an article allocation comfortably covering the consortium’s publishing needs. However, the new business models disrupted the pre-transition status quo: the existing distribution of costs, based predominantly on institutional subscription spending, differed from the emerging institutional-level output and potential associated costs. While moving to fully article-based pricing was felt premature, the consortium decided to explore ways to make the internal cost distribution more equitable. This article presents the various cost-sharing models reviewed and the process leading to the models ultimately introduced for several transformative agreements.

https://doi.org/10.1629/uksg.671

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

"Trends and Changes in Academic Libraries’ Data Management Functions: A Topic Modeling Analysis of Job Advertisements"


This study aims to (i) track trends in academic library data management positions, (ii) identify key themes in job advertisements related to data management, and (iii) examine how these themes have evolved. Using text mining techniques, this study applied Latent Dirichlet Allocation (LDA) and TF-IDF vectorization to systematically analyze 803 job advertisements related to data management posted on the IFLA LIBJOBS platform from 1996 to 2023. The findings reveal that the development of these positions has undergone three phases: exploration, growth, and adjustment. Four core themes in data management functions emerged: “Cataloging and Metadata Management,” “Data Services and Support,” “Research Data Management,” and “Systems Management and Maintenance.” Over time, these themes have evolved from distinct roles to a more balanced distribution.

https://doi.org/10.1016/j.acalib.2025.103017

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |