International journal of digital curation最新文献

{"title":"Towards a Risk Catalogue for Data Management Plans","authors":"Franziska Weng, Stella Thoben","doi":"10.2218/ijdc.v15i1.697","DOIUrl":"https://doi.org/10.2218/ijdc.v15i1.697","url":null,"abstract":"\u0000Although data management and its careful planning are no new topics, there is only little literature on risk mitigation in data management plans (DMPs). We consider it a problem that DMPs do not include a structured approach for the identification or mitigation of risks, because it would instil confidence and trust in the data and its stewards, and foster the successful conduction of data-generating projects, which often are funded research projects. In this paper, we present a lightweight approach for identifying general risks in DMPs. We introduce an initial version of a generic risk catalogue for funded research and similar projects. By analysing a selection of 13 DMPs for projects from multiple disciplines published by the Research Ideas and Outcomes (RIO) journal, we demonstrate that our approach is applicable to DMPs and transferable to multiple institutional constellations. As a result, the effort for integrating risk management in data management planning can be reduced. \u0000","PeriodicalId":87279,"journal":{"name":"International journal of digital curation","volume":"106 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88119837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research Data Management Policy and Practice in China","authors":"Yingshen Huang, A. Cox, L. Sbaffi","doi":"10.2218/ijdc.v15i1.718","DOIUrl":"https://doi.org/10.2218/ijdc.v15i1.718","url":null,"abstract":"\u0000On April 2, 2018, the State Council of China formally released a national research data management (RDM) policy “Measures for Managing Scientific Data”. Literature review shows that university libraries have played an important role in supporting Research Data Management at an institutional level in countries in North America, Europe and Australasia. The aim of this paper is to capture the current status of RDM in Chinese universities, in particular how university libraries have involved in taking the agenda forward. \u0000This paper uses mixed methods: a website analysis of university policies and services; a questionnaire for university librarians; and semi-structured interviews. Findings from website analysis and questionnaires indicate that RDS at a local level in Chinese Universities are in their infancy. On the whole there is more evidence of activity in developing data repositories than support services. Despite the existence of a national policy there remain significant barriers to further service development, such as the lag in the creation of local policy, insufficient funding for technical infrastructure, shortages of staff skills in data curation, and language barriers to international data sharing and open science. RDS in Chinese university libraries are still lagging behind the English-speaking countries and Europe. \u0000","PeriodicalId":87279,"journal":{"name":"International journal of digital curation","volume":"1 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86453325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CiTAR - Preserving Software-based Research","authors":"K. Rechert, Oleg Stobbe, Oleg Zharkow, Rafael Gieschke, Dennis Wehrle","doi":"10.2218/ijdc.v15i1.716","DOIUrl":"https://doi.org/10.2218/ijdc.v15i1.716","url":null,"abstract":"\u0000In contrast to books or published articles, pure digital output of research projects is more fragile and, thus, more difficult to preserve and more difficult to be made available and to be reused by a wider research community. Not only does a fast-growing format diversity in research data sets require additional software preservation but also today’s computer assisted research disciplines increasingly devote significant resources into creating new digital resources and software-based methods. \u0000In order to adapt FAIR data principles, especially to ensure re-usability of a wide variety of research outputs, novel ways for preservation of software and additional digital resources are required as well as their integration into existing research data management strategies. \u0000This article addresses preservation challenges and preservation options of containers and virtual machines to encapsulate software-based research methods as portable and preservable software-based research resources, provides a preservation plan as well as an implementation. \u0000 \u0000 ","PeriodicalId":87279,"journal":{"name":"International journal of digital curation","volume":"93 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84170212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Sources and Persistent Identifiers in the Open Science Research Graph of OpenAIRE","authors":"Jochen Schirrwagen, A. Bardi, A. Czerniak, Aenne Loehden, Najla Rettberg, Mike Mertens, P. Manghi","doi":"10.2218/ijdc.v15i1.722","DOIUrl":"https://doi.org/10.2218/ijdc.v15i1.722","url":null,"abstract":"In this article, we give an overview of the data source typologies used in OpenAIRE and provide an outline on the role of persistent identifiers in the aggregation, curation and provision workflows that lead to the generation of the Research Graph in OpenAIRE.","PeriodicalId":87279,"journal":{"name":"International journal of digital curation","volume":"9 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72975637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Archivists Managing Research Data? a Survey of Irish Organisations","authors":"R. Grant","doi":"10.2218/ijdc.v15i1.693","DOIUrl":"https://doi.org/10.2218/ijdc.v15i1.693","url":null,"abstract":"\u0000This paper describes a survey undertaken in 2017 to establish which research data management policies and practices were in place at Irish organisations; the extent to which archivists and records managers were employed to manage research data at those organisations; and the impact that archival skills have on research data management at an organisation. The paper describes the survey methods and data analysis, and presents findings including the presence of archivists and records managers at more than half of the surveyed organisations. Next steps for the research are also outlined. \u0000","PeriodicalId":87279,"journal":{"name":"International journal of digital curation","volume":"78 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84754700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Privacy Impact Assessments for Digital Repositories","authors":"Abraham Mhaildi, Jordan Cundiff, Libby Hemphill, F. Schaub, A. Thomer","doi":"10.2218/ijdc.v15i1.692","DOIUrl":"https://doi.org/10.2218/ijdc.v15i1.692","url":null,"abstract":"Trustworthy data repositories ensure the security of their collections. We argue they should also ensure the privacy of researcher and research subject data. We demonstrate the use of a privacy impact assessment (PIA) to evaluate potential privacy risks to researchers using the ICPSR’s Researcher Passport as a case study. We present our workflow and discuss potential privacy risks and mitigations for those risks. \u0000[A previous version of this article is available as an IDCC2020 Conference Paper] ","PeriodicalId":87279,"journal":{"name":"International journal of digital curation","volume":"187 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73920578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quality and Trust in the European Open Science Cloud","authors":"J. Bicarregui","doi":"10.2218/ijdc.v15i1.720","DOIUrl":"https://doi.org/10.2218/ijdc.v15i1.720","url":null,"abstract":"\u0000The European Open Science Cloud (EOSC) has the objective to provide a virtual environment offering open and seamless services for the re-use of research data across borders and scientific disciplines. This ambitious vision sets significant challenges that the research community must meet if the benefits of EOSC are to be realised. One of those challenges, which has both technical and cultural aspects, is to determine the “Rules of Participation” that enable users to assess the quality of the data and services provided through EOSC and thereby enable them to trust the data and services they access. This paper discusses some issues relevant to determining the Rules of Participation that will enable EOSC to meet these objectives. \u0000 \u0000 ","PeriodicalId":87279,"journal":{"name":"International journal of digital curation","volume":"116 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72718275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Complementary Data as Metadata: Building Context for the Reuse of Video Records of Practice","authors":"Allison R. B. Tyler, Kara Suzuka, E. Yakel","doi":"10.2218/ijdc.v15i1.701","DOIUrl":"https://doi.org/10.2218/ijdc.v15i1.701","url":null,"abstract":"Data reuse is often dependent on context external to the data. At times, this context is actually additional data that helps data reusers better assess and/or understand the target data upon which they are focused. We refer to these data as complementary data and define these as data external to the target data which could be used as evidence in their own right. In this paper, we specifically we focus on video records of practice in education. Records of practice are a type of data that more broadly document events surrounding teaching and learning. Video records of practice are an interesting case of data reuse as they can be extensive (e.g., days or weeks of video of a classroom), result in large files sizes, and require both metadata and other complementary data in order for reusers to understand the events depicted in the video. Through our mixed methods study, consisting of a survey of data reusers in 4 repositories and 44 in-depth interviews, we identified the types of complementary data that assist reusers of video records of practice for either teaching and/or research. While there were similarities in the types of complementary data identified as important to have when reusing VROP, the rationales and motivations for seeking out particular complementary data differed depending on whether the intended use was for teaching or research. While metadata is an important and valuable means of describing data for reuse, data’s meaning is often constructed through comparison, verification, or elucidation in reference to other data. \u0000 ","PeriodicalId":87279,"journal":{"name":"International journal of digital curation","volume":"112 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87874999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Road to Partnership: a Stepwise, Iterative Approach to Organisational Collaboration in RDM, Archives and Records Management","authors":"Michelle Harricharan, Carly Manson, Kirsten Hylan","doi":"10.2218/ijdc.v15i1.703","DOIUrl":"https://doi.org/10.2218/ijdc.v15i1.703","url":null,"abstract":"Research data management (RDM) sits at the confluence of a number of related roles. The shape an RDM confluence takes depends on several factors including the nature of an organisation and the research that it undertakes. At St George’s, University of London, the UK’s only university dedicated to medical and health sciences education, training and research, RDM has been intricately interwoven with organisational information governance roles since its inception. RDM is represented on our institutional Information Governance Steering Group and our Information Management Team consisting of information governance, data protection, freedom of information, archives, records management and RDM. \u0000This paper reports on how RDM, archives and records management have collaborated using a step-wise, iterative process to streamline and harmonise our guidance and workflows in relation to the stewardship, curation and preservation of research data. As part of this we consistently develop, conduct and evaluate small projects on managing, curating and preserving data. We present three projects that we collaborated on to transform research data services across each of our departments: \u0000 \u0000planning for, conducting and reporting on interviews with wet laboratory researchers \u0000advocating, building a case for and delivering a university-wide digital preservation system \u0000ongoing work to recover, preserve and facilitate access to a unique national health database \u0000 \u0000Learnings from these projects are used to develop our guidance, improve our activities and integrate our workflows, the outcomes of which may be further evaluated. Learnings are also used to improve our ways of working together. Through deeper integration of our activities and workflows, rather than simply aligning aspects of our work, we are increasingly becoming partners on research data stewardship, curation and preservation. This approach offers several benefits to the organisation as it allows us to build on our related knowledge and skills and deliver outcomes that demonstrate greater value to the organisation and the researchers we support.","PeriodicalId":87279,"journal":{"name":"International journal of digital curation","volume":"3 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78803322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Selecting Efficient and Reliable Preservation Strategies","authors":"Michael B. Altman, Richard Landau","doi":"10.2218/IJDC.V15I1.727","DOIUrl":"https://doi.org/10.2218/IJDC.V15I1.727","url":null,"abstract":"This article addresses the problem of formulating efficient and reliable operational preservation policies that ensure bit-level information integrity over long periods, and in the presence of a diverse range of real-world technical, legal, organizational, and economic threats. We develop a systematic, quantitative prediction framework that combines formal modeling, discrete-event-based simulation, hierarchical modeling, And then use empirically calibrated sensitivity analysis to identify effective strategies. \u0000Specifically, the framework formally defines an objective function for preservation that maps a set of preservation policies and a risk profile to a set of preservation costs, and an expected collection loss distribution. In this framework, a curator’s objective is to select optimal policies that minimize expected loss subject to their budget constraint. To estimate preservation loss under different policy conditions optimal policies, we develop a statistical hierarchical risk model – that statistically four sources of risk: the storage hardware; the physical environment; the curating institution; and the global environment. We then employ a general discrete event-based simulation framework to evaluate the expected loss and cost of employing varying preservation strategies under specific parameterization of risks. \u0000The framework offers flexibility for the modeling of a wide range of preservation policies and threats. Since this framework is open source, and easily deployed in a cloud computing environment, it can be used to produce analysis based on independent estimates of scenario-specific costs, reliability, and risks. \u0000We present results summarizing hundreds of thousands of simulations using this framework. This analysis points to a number of robust and broadly applicable preservation strategies, provides novel insights into specific preservation tactics, and provides evidence that challenges received wisdom.","PeriodicalId":87279,"journal":{"name":"International journal of digital curation","volume":"46 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78628652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}