Esta pesquisa teve como objetivo principal propor um panorama de integração entre repositórios de dados de pesquisa e publicações científicas baseado no modelo de publicações ampliadas. Do ponto de vista de sua natureza, é básica. Segundo a abordagem é considerada qualitativa, e caracteriza-se por ser uma pesquisa exploratória e bibliográfica. O modelo de análise deste estudo foi composto por três fases. Na primeira fase de análise, foram coletadas literaturas específicas da área por meio da revisão sistemática e, a partir das literaturas, foram extraídos os requisitos indicados e sugeridos para um modelo de publicação ampliada. Na segunda fase de análise, foram selecionados os repositórios de dados de pesquisa através do diretório re3data.org e averiguadas as informações disponibilizadas por meio dos filtros que demonstrassem a utilização de ligações baseadas no modelo de publicação ampliada. Na terceira fase de análise, foi realizada a inspeção das interfaces e identificados os elementos que cada repositório contempla para posteriormente iniciar as análises, observações e comparações dos elementos utilizados nos repositórios com os requisitos estabelecidos por meio da revisão sistemática. Percebeu-se na literatura que há uma tentativa de adicionar uma estrutura utilizando-se requisitos relacionados a metadados, relacionamentos semânticos, entre outros. Verificou-se que parte dessa estrutura indicada na literatura já encontra-se nas interfaces de alguns repositórios identificados no diretório re3data.org. No entanto estes repositórios que contemplam parte da estrutura indicada foram caracterizados como uma minoria. Desta forma, verificou-se uma necessidade crescente, de uma infraestrutura compatível com as publicações ampliadas, tornando-se de extrema importância a utilização de requisitos para as interfaces dos repositórios de dados de pesquisa O cruzamento de informações realizado neste estudo permitiu um maior entendimento do quanto é importante o uso de cada um dos requisitos estipulados, como também foi possível compreender as consequências caso estes requisitos não estejam contemplados nas interfaces de repositórios. Os repositórios de dados de pesquisa deveriam fornecer em suas interfaces as ligações e o acesso às respectivas publicações científicas dos dados registrados para que fosse possível compreender os estudos realizados a partir destes dados. Foi comprovado que esse processo não ocorre na grande parte dos repositórios, o que dificulta a compreensão sobre a origem e o contexto em que foram utilizados esses dados. Percebe-se que os repositórios que não estavam de acordo com os principais requisitos estabelecidos apresentavam características de publicações convencionais como, por exemplo, documentos em PDF, textos em HTML e que não estavam de acordo com padrões da web semântica. Esta proposta de um panorama de integração de dados de pesquisa baseado em publicações ampliadas visa sugerir uma interface que contemple todos os requisitos especificados nesta pesquisa para que se tenha uma infraestrutura compatível com as publicações ampliadas. A partir da investigação e do aprofundamento sobre o tema, foi possível ampliar o conhecimento e detectar os elementos apropriados para propor um panorama de integração entre um repositório de dados de pesquisas e publicações científicas baseando-se em um modelo de publicação ampliada, como também destacar as vantagens da utilização deste modelo. Considera-se que um conjunto de dados disponíveis em um repositório digital, que contemple os requisitos, melhora a recuperação da informação e, consequentemente, aumenta a visibilidade da publicação e de autores. / This research had the main objective to propose an integration landscape between research data repositories and scientific publications based on the model for enhanced publications. From its nature`s point of view, it is basic. According to the approach it is considered a qualitative, is characterized as an exploratory, bibliographic research and a case study as well. The analysis model of this study was constituted of three phases. In first phase of the analyses, specific literatures were colected through the systematic review and from literatures, in addition the suggested requirements and indicated for a model for enhanced publications were extracted, in addition the suggested requirements and indicated for an enhanced publication model were extract. In second phase of the analyses, research data repositories were select through the re3data.org directory and were verified the information provided through the filters which demonstrated the application of links based on the model for enhanced publications. In the third and last phase of the analyses, an inspection of interfaces were realized, and also elements that each repository comprehend were identified to subsequently initiate the analyses, observations and comparisions of the elements used on repositories with the estabilished requirements through systematic review. It was perceived in the literature, that there are an attempt to add a structure by using related requirements to metadata, semantic relationship, among others. Also verified that part of this estructure indicated on literature is available on interfaces of some identified repositories on re3data.org. Although these repositories which comprehend part of the indicated structure were characterized as a minority.( Continue) Therefore, there has been a growing need for an infrastructure compatible with the enhanced publications, aware of the importance for the application of requirements to the interfaces of research data repositories. The crossover of informations realized in this study allowed a greater understanding about the importance to use each one of the stipulated requirements, as well as was possible to understand the consequences in case of these requirements are not be included in the repositories interfaces. Research data repositories should provide on their interfaces the links and access to their respective scientific publications of the recorded data in order to be able to understand the studies carried out from this data. It has been proven that this process does not occur in most repositories, which difficults to understand the origin and context in which these data were used. It was noticed that repositories not in agreement with the main presented established requirements characteristics of conventional publications, as for example PDF documents, HTML texts and which was not in accordance to patterns for semantic web. This proposal for a research data integration model based on enhanced publications aims to suggest an interface that that fulfills all the specified requirements in this research to obtain an infrastructure compatible to enhanced publications. From the investigation and deepening the theme, it was possible to increase the knowledge and to detect the appropriate elements to propose an integration model between a researches data repository and scientific publications based on a model for enhanced publication as well as highlighting the advantages of applying this model. Thus, it is concluded that a set of available data into a digital repository that comprehend the requirements improves the information recovery and, therefore, increases the visibility of publication and authors.

Data life cycle and research data managemet plans are just two of many key-terms used in the present discussion about digital research data. But what do they mean - on the one hand for an individual scholar and on the other hand for a digital infrastructure like IANUS? The presentation will try to explain some of the terms and will show how IANUS is dealing with them in order to enhance the reusability of unique data. The presentation starts with an overview of the different disciplines, research methods and types of data, which together characterise modern research on ancient cultures. Nearly in all scientific processes digital data is produced and has gained a dominant role as the stakeholder-analysis and the evaluation of test data collections done by IANUS in 2013 clearly demonstrate. Nevertheless, inspite of their high relevance digital files and folders are in danger with regard to their accessability and reusability in the near and far future. Not only the storage devices, software applications and file formates become slowly but steadily obsolete, but also the relevant information (i.e. the metadata) to understand all the produced bits and bytes intellectually will get lost over the years. Therefore, urging questions concern the challenges how we can prevent – or at least reduce – a forseeable loss of digital information and what we will do with all the results, which do not find their way into publications? Being a disipline’s specific national center for research data of archaeology and ancient studies, IANUS tries to answer these questions and to establish different services in this context. The slides give an overview of the centre structure, its state of development and its planned targets. The primary service (scheduled for autumn 2016) will be the long-term preservation, curation and publication of digital research data to ensure its reusability and will be open for any person and institution. One already existing offer are the “IT-Empfehlungen für den nachhaltigen Umgang mit digitalen Daten in den Altertumswissenschaften“ which provide information and advice about data management, file formats and project documentation. Furthermore, it offers instructions on how to deposit data collections for archiving and disseminating. Here, external experts are cordially invited to contribute and write missing recommendations as new authors.

Introduction. Previous research has shown that the increasing demands of research data management have proven to be challenging to both researchers and research support. The aim of this thesis is to investigate the process of managing, archiving, and sharing research data and what challenges it faces. Furthermore, it aims to investigate what the archivist’s role is and should be in this process and how archivists and researchers communicate and collaborate with each other.  Method. To pursue this aim, a qualitative method was used, consisting of semi-structured interviews with archivists from seven different public universities in Sweden, with three larger universities and four smaller ones. Analysis. For the analysis a thematic method was used, where similarities and differences, views and opinions were identified and categorized into different themes. Result. The result showed that a fundamental challenge is for the archivists to reach out to the researchers with the information and knowledge that they need and how to make that information comprehensible. The result further showed that several of the interviewed archivists believe that the current focus of resources and demands aimed at the development of open data is misdirected and contra productive because the researchers are more interested in and have a greater need of safe storing and proper archiving of their research data, rather than making it open. Conclusion. The investigation concludes that there is a great need for new ways for archives and other research support to reach out to researchers with information on research data management and that this requires more resources. It furthermore concludes that there is a need to further investigate what researchers truly need for them to properly manage and preserve their research data in the long term and what role the archivist will play in this development.  This is a two years master’s thesis in Archival science.

Das hier vorliegende Handbuch ist im Rahmen des Projektes „Vernetztes Forschungsdatenmanagement an Hochschulen für angewandte Wissenschaften am Beispiel der HTW Dresden – FoDaMa-HTWD“ entstanden.1 Es stellt eine kurze und übersichtliche Zusammenfassung der wichtigsten Erkenntnisse dar, welche während der Projektlaufzeit an der Hochschule für Technik und Wirtschaft Dresden (HTWD) zum Forschungsdatenmanagement (FDM) gewonnen wurden. Die Autor/innen möchten mit diesem Handbuch andere Hochschulen für angewandte Wissenschaften (HAW) bei der Strategieentwicklung und dem notwendigen FDM-Strukturaufbau unterstützen. Es richtet sich demnach vorrangig an Personen, die sich an Hochschulen mit der strategischen Weiterentwicklung im Bereich Forschung beschäftigen und sich vielleicht die Frage stellen, welche unterstützenden FDM-Services und Maßnahmen ergriffen werden sollten, damit die Forschenden der eigenen Institution der zunehmenden Forderung nach offener und nachhaltiger Arbeitsweise im Umgang mit Forschungsdaten gerecht werden können. / This handbook was developed within the project ' Vernetztes Forschungsdatenmanagement an Hochschulen für angewandte Wissenschaften am Beispiel der HTW Dresden – FoDaMa-HTWD '. It is a short and clear summary of the most important findings, which were gained during the project at the University of Applied Sciences Dresden (HTWD) on research data management (FDM). With this handbook, the authors would like to support other Universities of Applied Sciences (HAW) in developing strategies and the necessary FDM structure. It is therefore primarily aimed at people who are involved in the strategic development of research at universities and who may ask themselves the question of which supporting FDM services and measures should be taken to ensure that the researchers of their own institution are able to meet the increasing demand for open and sustainable working methods in dealing with research data.

Introduction: The subject of research data management is highly topical and university libraries around the world are working hard to establish a well-functioning support as well as technical solutions to deal with sharing and storing research data. Swedish university libraries are no exception, and this study aims to give a clearer view on how these support functions have come to take the form they have today, what they look like now and what the plans are.  Method: For this study eight people working with research data support at six Swedish university libraries were interviewed about the work of the support groups they are part of. These interviews were recorded and transcribed, and then analysed thematically by colour coding themes in the text.  Analysis and results: The findings show that the persons working with data managing support at these six university libraries agree on many points of how the support needs to be developed to meet the students and researchers needs. One of the most important things of what the research data managing groups need to do are to supply more information sessions, workshops, and teaching to reach out with their knowledge and to make people more aware of their existence and competences. Another is making sure technical solutions are in place to store data throughout the different steps of the research data lifecycle. The training and development of the professionals working in the support groups is also a very important part, as this is a changing subject and the rules and regulations do change. Lastly the interviewees underline the importance of solid motivating factors for researchers to share their data. The data support groups can simplify the process of data sharing and make it easier and smoother for the researcher to do it, but if it is unclear why it should be done it will not happen.  Conclusions: The development of the research data support has been, and is, slow and still ongoing. There is still a fair amount of work to be done, especially when it comes to the technical solutions that will enable safe and FAIR data sharing and storing. But the work that needs to be done cannot come only from university libraries and other university support functions, it must come from publishers, funders and other organisations that have the power to change the norms of data sharing. One of the main blockers of open data today is the lack of motivation for researchers to share their data and to be able to reach the goal of open data 2026 the entire system of merits for researchers needs to change and somehow include data sharing as an important part.  This is a two-year master’s thesis in Library and Information Science.

The ‘Specialised Information Service Benelux / Low Countries Studies’ (FID Benelux) of Münster University and State Library (ULB Münster) is one of at present 41 ‘Specialised Information Services’ (FID) funded by the German Research Foundation. Founded in 2016, the FID Benelux is designed as a one-stop provider of specialised literature and research-specific information about the culture and society of the Benelux countries as well as research supportive services. This article illustrates by means of various examples that the FID Benelux not only deals with border regions and crossing boundaries in the territorial-spatial area, but that it also focuses on the socio-spatial boundary area between scholars and research infrastructures. In this context, aspects such as (cross-border) networking with scholars, research groups and research infrastructures play just as important a role as for instance boundary spanning and knowledge exchange across organisational boundaries in the field of research data management. Last but not least, the ‘Bibliography of Benelux Borderlands Histories’, a current FID-project also dedicated to the topic of borders and boundaries, is presented.

Die Informationsverhaltensforschung liefert zahlreiche Erkenntnisse darüber, wie Menschen Informationen suchen, abrufen und nutzen. Wir verfügen über Forschungsergebnisse zu Informationsverhaltensmustern in einem breiten Spektrum von Kontexten und Situationen, aber wir wissen nicht genug über die Informationsbedürfnisse und Ziele von Forschenden hinsichtlich der Nutzung von Forschungsdaten. Die Informationsverhaltensforschung gibt insbesondere Aufschluss über das literaturbezogene Informationsverhalten. Die vorliegende Studie basiert auf der Annahme, dass diese Erkenntnisse nicht ohne weiteres auf datenbezogenes Informationsverhalten übertragen werden können. Um diese Annahme zu untersuchen, wurde eine Studie zum Informationssuchverhalten von Datennutzenden durchgeführt. Übergeordnetes Ziel der Studie war es, Erkenntnisse über das Informationsverhalten der Nutzenden eines bestimmten Retrievalsystems für sozialwissenschaftliche Daten zu erlangen, um die Entwicklung von Forschungsdateninfrastrukturen zu unterstützen, die das Data Sharing erleichtern sollen. Das empirische Design dieser Studie folgt einem Mixed-Methods-Ansatz. Dieser umfasst eine qualitative Studie in Form von Experteninterviews und – darauf aufbauend – eine quantitative Studie in Form einer Online-Befragung von Sekundärnutzenden von Daten aus Bevölkerungs- und Meinungsumfragen (Umfragedaten). Im Kern hat die Untersuchung ergeben, dass die Einbindung in die Forschungscommunity bei der Datensuche eine zentrale Rolle spielt. Die Analysen zeigen, dass Communities eine wichtige Determinante für das Informationssuchverhalten sind. Die Einbindung in die Community hat das Potential, Probleme oder Barrieren bei der Datensuche zu reduzieren. Diese Studie trägt zur Theorieentwicklung in der Informationsverhaltensforschung durch die Modellierung des Datensuchverhaltens bei. In praktischer Hinsicht gibt die Studie Empfehlungen für das Design von Dateninfrastrukturen, basierend auf empirischen Anforderungsanalysen. / From information behaviour research we have a rich knowledge of how people are looking for, retrieving, and using information. We have scientific evidence for information behaviour patterns in a wide scope of contexts and situations, but we don’t know enough about researchers’ information needs and goals regarding the usage of research data. Having emerged from library user studies, information behaviour research especially provides insight into literature-related information behaviour. This thesis is based on the assumption that these insights cannot be easily transferred to data-related information behaviour. In order to explore this assumption, a study of secondary data users’ information-seeking behaviour was conducted. The study was designed and evaluated in comparison to existing theories and models of information-seeking behaviour. The overall goal of the study was to create evidence of actual information practices of users of one particular retrieval system for social science data in order to inform the development of research data infrastructures that facilitate data sharing. The empirical design of this study follows a mixed methods approach. This includes a qualitative study in the form of expert interviews and – building on the results found therein – a quantitative web survey of secondary survey data users. The core result of this study is that community involvement plays a pivotal role in survey data seeking. The analyses show that survey data communities are an important determinant in survey data users' information seeking behaviour and that community involvement facilitates data seeking and has the capacity of reducing problems or barriers. Community involvement increases with growing experience, seniority, and data literacy. This study advances information behaviour research by modelling the specifics of data seeking behaviour. In practical respect, the study specifies data-user oriented requirements for systems design.

Zwei Innovationen innerhalb von Open Science werden in dieser Dissertation untersucht: Open Access und der Umgang mit Forschungsdaten. Die Ergebnisse zeigen ein positives Meinungsbild gegenüber beiden Innovationen, was sich allerdings nicht in einer übergreifenden Umsetzung in der Wissenschaft niederschlägt. Die disziplinären Unterschiede sind markant. Es lassen sich aber übergeordnete Ebenen herausarbeiten: Soziologische, technische & infrastrukturelle, sowie strategische & monetäre Aspekte gehören hierzu, wobei starke Interdependenzen zu verorten sind. Traditionell werden Qualität und Prestige von veröffentlichten wissenschaftlichen Ergebnissen als Maßgabe für die Reputation eines Wissenschaftlers angesehen, was klar in den Resultaten dieser Arbeit reflektiert ist. Sie präferieren die Nutzung von Publikationsorganen und Arbeitsabläufen, die in der Fachgemeinschaft etabliert sind. Daraus folgt ein zögerlicher Umgang mit Innovationen, z.B. dem offenem Zugang zu Forschungsdaten, wo es nur wenige etablierte Abläufe gibt. In der Diskussion dieser Arbeit wird die Notwendigkeit einer Verbindung zu heutigen Anreizsystemen und damit den Evaluierungssystemen in der Wissenschaft herausgestellt. Neue Strategien diesbezüglich sind im Aufbau, z.B. mit “zählbaren” Publikationen und Zitationen für Forschungsdaten. Die Kernthemen wurden in der Fallstudie der Hochenergiephysik genauer untersucht. Eine digitale Bibliothek erlaubte dort die praktische Implementierung von Open Science Werkzeugen. Die Ergebnisse unterstreichen das Potential: mit gezielten Diensten und Anreizen können Wissenschaftler für Open Science gewonnen werden; in diesem Fall zur Teilnahme in einem Crowdsourcingprojekt der digitalen Bibliothek und zur Umsetzung von „data sharing“. Dem Informationsmanagement kommt dabei eine neue Rolle zu, insbesondere bei einer engen Betreuung von Wissenschaftlern im digitalen Forschungsumfeld. Das kann parallel für die Serviceentwicklung und –begleitung genutzt werden. / Two major Open Science innovations, Open Access and research data sharing, have been studied in detail in this thesis. A large-scale survey and personal interviews are used to gain detailed insights from a range of disciplines. In addition, a case study in the High Energy Physics (HEP) community was used to study the results in practice. The results show that a rather positive attitude towards both, Open Access and research data sharing is not reflected in the researchers’ practices. Disciplinary differences prevail and relate to the different publishing cultures and research workflows. The results indicate that quality and prestige of research output are perceived as very important in determining a researcher’s reputation. Researchers prefer community-approved publication outlets. They hesitate to explore new innovations, such as data sharing, for which only few established workflows exist in digital scholarly communication. Interviewees highlight the significance of a (missing) link between such approaches on the one hand and the current incentive system and the research assessment schemes on the other. The results indicate that barriers can be overcome. In the case study, a strong collaboration with the community facilitated enhanced feedback loops to develop tailored and targeted services for Open Science. Researchers in the case study were successfully engaged in new innovative workflows: a crowdsourcing tool and data sharing in a digital library. The results highlight that opportunities of Open Science are not yet explored widely. But with targeted support, it is possible to build on best practices and develop strategies that engage communities in new innovations. The results furthermore demand new strategies to establish links from Open Science services to the academic incentive system. It is needed to revisit the current research assessment scheme in regard to potential support mechanisms for Open Science.

Die zweite Sektion begann am 4. Oktober mit einem einführenden Vortrag von Klaus Mauersberger über die Entwicklung, die Bewahrung und die Spezifik der Sammlungen der TU Dresden. Mauersberger, langjähriger Mitarbeiter am Zentrum für Geschichte der Technikwissenschaften und seit 1993 Leiter der Kustodie der TU Dresden, gab einen Überblick über die Anfänge, die Aufgaben sowie den Umfang und die Diversität der Dresdner Universitätssammlungen. (...)

Für Wissenschaftler der Technischen Universitäten Dresden und Bergakademie Freiberg, die ihre Forschungsdaten archivieren und publizieren möchten, steht seit Anfang 2018 der Dienst OpARA (Open Access Repository and Archive) als institutionelles Repositorium zur Verfügung. Wissenschaftler haben hier die Möglichkeit, ohne zusätzliche Kosten die Anforderungen der Guten Wissenschaftlichen Praxis an die langfristige sichere Aufbewahrung von Forschungsdaten (Archivierung über mindestens zehn Jahre) unkompliziert zu erfüllen. Der Dienst OpARA wird von den Rechenzentren der beiden Universitäten gemeinsam betrieben, die Daten werden lokal archiviert und optional publiziert. Vor der Archivierung findet ein Begutachtungsprozess statt, um die fachliche und technische Qualität der Daten zu gewährleisten. Es wird dabei insbesondere die Dokumentation und Aufbereitung für Daten, die publiziert werden sollen, unter dem Aspekt einer guten Nachnutzbarkeit beurteilt und bei Bedarf unterstützt.