Persistent Identification of Instruments

Stocker, Markus; Darroch, Louise; Krahl, Rolf; Habermann, Ted; Devaraju, Anusuriya; Schwardmann, Ulrich; D’Onofrio, Claudio; Häggström, Ingemar

doi:10.5334/dsj-2020-018

Cited by 31 publications

(22 citation statements)

References 15 publications

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Section: Findable and Accessible: Persistent Identifiersmentioning

confidence: 99%

“…Persistent Identification of Instruments (PIDINST) aims to set up PIDs for operational scientific instruments to provide analysis metadata that helps to set the data into context (Stocker et al, 2020). Efforts have been undertaken by the PIDINST working group members of the Research Data Alliance since 2017, with primarily Earth Science use cases (Stocker et al, 2020). PIDINST provides metadata such as the instrument's name, a textual description, the institution where the instrument is situated, the manufacturer and other entities/objects that relate to the instrument (Stocker et al, 2020).…”

Section: Findable and Accessible: Persistent Identifiersmentioning

confidence: 99%

“…Efforts have been undertaken by the PIDINST working group members of the Research Data Alliance since 2017, with primarily Earth Science use cases (Stocker et al, 2020). PIDINST provides metadata such as the instrument's name, a textual description, the institution where the instrument is situated, the manufacturer and other entities/objects that relate to the instrument (Stocker et al, 2020). The PIDINST schema facilitates links among instruments, journal articles, datasets and other research objects (Stocker et al, 2020).…”

Section: Findable and Accessible: Persistent Identifiersmentioning

confidence: 99%

“…The infrastructure is available to implement persistent identifiers for physical aspects of research, but broader adoption beyond the Earth and Life Sciences (Bandrowski et al, 2015;Devaraju et al, 2017;Hsu et al, 2020;Stocker et al, 2020) is currently still limited.…”

Section: Interoperable: Envisioned Challengesmentioning

confidence: 99%

“…Adopting persistent identifiers in different research fields will be challenging, as each discipline has its own data culture and jargon that complicates the use of shared schemas, registries, controlled vocabularies and ontologies (Poirier and Costelloe-Kuehn, 2019). There will be no common standard that is meaningful for the variety of experimental techniques used across different subdisciplines (Stocker et al, 2020). Developments on exploring a core requirement set of metadata, or a 'bullseye' that defines a common core kernel (Wyborn et al 2020), that can be extended with discipline specific community standards are needed for a broader adaptation of persistent identifiers for physical samples, artefacts, reagents and instruments (Figure 2).…”

Section: Interoperable: Envisioned Challengesmentioning

confidence: 99%

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Going Digital: Persistent Identifiers for Research Samples, Resources and Instruments

Plomp

2020

Data Science Journal

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The uptake of Persistent Identifiers (PIDs) has increased in recent years and has improved the Findability, Accessibility, Interoperability and Reusability (FAIR) of various research related objects (e.g., data, software, researchers and research organisations). The uptake of PIDs for physical aspects of research (such as samples, artefacts, reagents and analyses instruments) has thus far been embraced primarily for use in the fields of Earth and life Sciences. Wider adoption of PIDs for physical aspects of research can improve the findability and accessibility of these resources, which will allow for data to be put into more detailed context. By using PIDs all the information about a sample or artefact could be more easily available in a single location, allowing for persistent links to other sources of relevant information. Through the use of interoperable (metadata) standards and shared forms of documentation it will be easier to collaborate across multiple disciplines and the reusability of resulting data and the physical samples and artefacts themselves will improve. Wider adoption of PIDs for physical aspects of research is challenging, as research communities will have to work together to establish relevant standards that are meaningful across multiple domains. The infrastructure for wider adoption already exists, it is now up to research communities to adopt standards and PIDs for the physical aspects of their research and up to funding and research institutes to support this broader adoption.

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Section: Findable and Accessible: Persistent Identifiersmentioning

confidence: 99%

Section: Findable and Accessible: Persistent Identifiersmentioning

confidence: 99%

Section: Findable and Accessible: Persistent Identifiersmentioning

confidence: 99%

Section: Interoperable: Envisioned Challengesmentioning

confidence: 99%

Section: Interoperable: Envisioned Challengesmentioning

confidence: 99%

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Going Digital: Persistent Identifiers for Research Samples, Resources and Instruments

Plomp

2020

Data Science Journal

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Beyond data: Sharing related research outputs to make data reusable

et al. 2022

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Evolving efforts to maintain and improve XPS analysis quality in an era of increasingly diverse uses and users

Baer

Watts

Herrera-Gómez

et al. 2023

Surface & Interface Analysis

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Based on literature analysis, X-ray photoelectron spectroscopy (XPS) use continues to increase exponentially. This increased use is accompanied by anecdotal reports and systematic analyses indicating a growing presence of significantly flawed data analyses. Recognition of this problem within the surface analysis community has increased with an understanding that both inexperienced users and increased use of XPS outside the surface analysis community contribute to the problem. The XPS community has initiated several efforts to help address the problem, which is not unique to XPS. This paper describes some of the specific problems identified and some of the community efforts intended to address them. Here, we describe activities focused on three specific issues: (i) requests for detailed guides and protocols and bite-sized versions of information for non-experts, (ii) incomplete data and analysis reporting, and (iii) the high rate of peak fitting problems. A 2019 survey identified the need for guides, protocols, and standards to assist XPS users. One set of such guides has been published, and another is being assembled. Providing incremental bites of useful information is the goal of a series of papers on specific challenges to surface analysis with example solutions has been initiated as Notes and Insights papers in Surface and Interface Analysis. Examination of XPS-containing papers finds that information to establish the credibility and reproducibility of XPS results is often very incomplete.Unfortunately, ISO and ASTM standards require an amount of parameter reporting that seems excessive and unrealistic for many research publications. Initial approaches to develop and distribute a graded approach to parameter reporting are briefly described. Multiple efforts are underway to address the high rate of problems associated with photoelectron peak fitting. These include guides to peak fitting, guides to peak identification and fitting for specific elements, and the development of a peak fitting social network. The fitting social network is designed to facilitate interactions between new and experienced XPS users; analysts trying to fit XPS data (for publication or other reasons) can ask questions and establish dynamic conversations. Encouraging and enabling high-quality XPS analysis and reporting requires several different types of effort from all members of the surface and interface analysis community.

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Persistent Identification of Instruments

Cited by 31 publications

References 15 publications

Going Digital: Persistent Identifiers for Research Samples, Resources and Instruments

Going Digital: Persistent Identifiers for Research Samples, Resources and Instruments

Beyond data: Sharing related research outputs to make data reusable

Evolving efforts to maintain and improve XPS analysis quality in an era of increasingly diverse uses and users

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