Archives des mots-clés : Micah Altman

Reproducible and Attributable Materials Science Curation Practices: A Case Study

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Authors : Ye Li, Sarah Laura Wilson, Micah Altman

While small labs produce much of the fundamental experimental research in Material Science and Engineering (MSE), little is known about their data management and sharing practices and the extent to which they promote trust in, and transparency of, the published research.

In this research, we conduct a case study of a leading MSE research lab to characterize the limits of current data management and sharing practices concerning reproducibility and attribution. We systematically reconstruct the workflows, underpinning four research projects by combining interviews, document review, and digital forensics. We then apply information graph analysis and computer-assisted retrospective auditing to identify where critical research information is unavailable or at risk.

We find that while data management and sharing practices in this leading lab protect against computer and disk failure, they are insufficient to ensure reproducibility or correct attribution of work — especially when a group member withdraws before project completion.

We conclude with recommendations for adjustments to MSE data management and sharing practices to promote trustworthiness and transparency by adding lightweight automated file-level auditing and automated data transfer processes.

URL : Reproducible and Attributable Materials Science Curation Practices: A Case Study

DOI : https://doi.org/10.2218/ijdc.v18i1.940

Interventions in scholarly communication: Design lessons from public health

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Authors : Micah Altman, Philip N. Cohen, Jessica Polka

Many argue that swift and fundamental interventions in the system of scholarly communication are needed. However, there are substantial disagreements over the short- and long-term benefits of most proposed approaches to changing the practice of science communication, and the lack of systematic, empirically based research in this area makes these controversies difficult to resolve. We argue that experience within public health can be usefully applied to scholarly communication.

Starting with the history of DDT (Dichlorodiphenyltrichloroethane) application, we illustrate four ways complex human systems threaten reliable predictions and blunt ad-hoc interventions. We then show how these apply to interventions in scholarly publication – open access based on the article processing charge (APC), and preprints – to yield surprising results. Finally, we offer approaches to help guide the design of future interventions: identifying measures and outcomes, developing infrastructure, incorporating assessment, and contributing to theories of systemic change.

URL : Interventions in scholarly communication: Design lessons from public health

DOI : https://doi.org/10.5210/fm.v28i8.12941

Formalizing Privacy Laws for License Generation and Data Repository Decision Automation

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Authors : Micah Altman, Stephen Chong, Alexandra Wood

In this paper, we summarize work-in-progress on expert system support to automate some data deposit and release decisions within a data repository, and to generate custom license agreements for those data transfers.

Our approach formalizes via a logic programming language the privacy-relevant aspects of laws, regulations, and best practices, supported by legal analysis documented in legal memoranda.

This formalization enables automated reasoning about the conditions under which a repository can transfer data, through interrogation of users, and the application of formal rules to the facts obtained from users.

The proposed system takes the specific conditions for a given data release and produces a custom data use agreement that accurately captures the relevant restrictions on data use.

This enables appropriate decisions and accurate licenses, while removing the bottleneck of lawyer effort per data transfer.

The operation of the system aims to be transparent, in the sense that administrators, lawyers, institutional review boards, and other interested parties can evaluate the legal reasoning and interpretation embodied in the formalization, and the specific rationale for a decision to accept or release a particular dataset.

URL : https://arxiv.org/abs/1910.10096

Evaluating and Promoting Open Data Practices in Open Access Journals

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Authors : Eleni Castro, Mercè Crosas, Alex Garnett, Kasey Sheridan, Micah Altman

In the last decade there has been a dramatic increase in attention from the scholarly communications and research community to open access (OA) and open data practices.

These are potentially related, because journal publication policies and practices both signal disciplinary norms, and provide direct incentives for data sharing and citation. However, there is little research evaluating the data policies of OA journals.

In this study, we analyze the state of data policies in open access journals, by employing random sampling of the Directory of Open Access Journals (DOAJ) and Open Journal Systems (OJS) journal directories, and applying a coding framework that integrates both previous studies and emerging taxonomies of data sharing and citation.

This study, for the first time, reveals both the low prevalence of data sharing policies and practices in OA journals, which differs from the previous studies of commercial journals’ in specific disciplines.

URL : Evaluating and Promoting Open Data Practices in Open Access Journals