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The GEOROC database is a leading, open-access source of geochemical and isotopic datasets of igneous and metamorphic rocks and minerals. It was established 24 years ago and currently provides access to curated compilations of rock and mineral compositions from >20,600 publications (>32 million single data values). The Digital Geochemical Data Infrastructure (DIGIS) initiative for GEOROC 2.0 is now building a connected platform capable of supporting the diverse demands of digital, data-based geochemical research: including modern solutions to data submission, discovery and access.One of the challenges for maintaining a high quality, up-to-date database such as GEOROC is consistent data entry. Historically, data were compiled manually from the academic literature by trained curators. This manual data entry process is slow, resource-intensive and prone to errors. Exacerbated by the lack of best-practices or standards for analytical geochemical data reporting, the quality and completeness of data and metadata compiled in this way are highly variable. A possible solution to this challenge is offered by domain-specific repositories: in part driven by demands of some funders and publishers to make all research data publicly available, data producers increasingly publish their research datasets, affording repositories a unique opportunity to impose consistent standards and quality. Following these developments, DIGIS established a domain repository with DOI minting capabilities in 2021 to support independent data submission by authors. In principle, these data submissions may comprise new analytical results as well as compilations of previously published data (“expert datasets”). DIGIS also uses its repository for versioning of the GEOROC data compilations and to provide distinct, citable objects to the researchers that use GEOROC compilations for their work (so-called “precompiled files”, a collection of pre-formatted results of the most popular search queries to the GEOROC database are regularly updated and re-published). However, whilst all data submissions by authors are required to fulfill the scope of the GEOROC database, new analytical data need to meet additional quality requirements: the repository enforces a strict template to ensure consistent reporting of all relevant sample and method/analysis metadata. These templates can then be automatically harvested from the repository directly into the GEOROC database, with the added guarantee that new data entries are a) approved by the owners of the datasets, and b) follow a consistent data reporting and quality standard.To encourage user uptake of both the repository and the compilations available in the GEOROC database, DIGIS is working closely with IEDA2 and EarthChem towards developing a common infrastructure for geochemical data. One goal of this collaboration is a single repository submission platform that asserts the same requirements for data and metadata quality of submitted datasets. In addition, DIGIS has also partnered with GFZ Data Services as their trusted domain repository. Finally, through the OneGeochemistry initiative, all three partners are working towards global community-endorsed best practices for geochemical data publication. Ultimately, these efforts will facilitate greater interoperability between globally distributed geochemical data systems, enabling more user-friendly delivery of data publication and compilation services to the research community.

Zusammenfassung Was wäre wenn eine erneute Covidpandemie im Jahre 2070 zeigen würde, dass eine schnelle Eindämmung deshalb nicht möglich ist, weil die Forschungsdaten aus den Jahren um 2020 nicht nachhaltig gespeichert wurden. Ausgehend von dieser Frage werden Einschätzungen zur Rolle von Bibliotheken für Forschungsdaten entwickelt. Grundsätzlich wird geschlossen, dass Bibliotheken eine besondere Chance haben, einen wichtigen Anteil an der Bewältigung der Herausforderungen im Kontext von Forschungsdaten zu tragen und damit eine neue Identität der Bibliothek zu prägen.

Presented at Goldschmidt 2021, Session 14fO2 Abstract As open access publishing and FAIR data principles (findable, accessible, interoperable, reusable) become the new standard, geochemical data archives must not get left behind. Free access to up-to-date, scientifically curated data archives that are efficiently connected to the international community are essential. GEOROC is a leading source of geochemical and isotopic datasets, is connected to the ���Interdisciplinary Earth Data Alliance���, and has facilitated thousands of peer-reviewed publications and new avenues of geochemical research. In the new Digital Geochemical Data Infrastructure (DIGIS) concept of GEOROC 2.0, our goal is to continue and enhance the existing data collection by generating a connected platform that meets future challenges of digital data-based research and provides advanced service to the community. Our approach is to (1) realign GEOROC with current and future demands in digital geochemical research, especially regarding FAIR principles; and (2) identify, develop and recommend good-practice rules for the curation of physical samples linked to the GEOROC 2.0 platform. This includes an interoperable metadata model as well as metadata and data exchange via standardised application interfaces (APIs). ���Digital geochemistry��� not only involves archiving and structuring of geochemical data but also the development of new tools and methods of data analysis. Increasing the accessibility and ease-of-use of open geochemical databases ensures applications in other research areas. For instance, global soil research depends on representative and global coverage of rock substrate analyses. Spectral remote sensing of planetary surfaces requires mineral and rock reference compositions on a planetary scale. Archaeological studies linking artefacts to their provenance are based on knowing the chemical and isotopic composition of potential sources. The DIGIS concept for GEOROC 2.0 includes open access to end-to-end text and data mining, integration of data DOIs, links to a geochemical sample storage system via the International GeoSample Number (IGSN), multi-way data harvesting capabilities as well as state-of-the-art connectivity to other databases. The scientific development of GEOROC 2.0 as well as the re-organisation of its IT infrastructure will allow the database to expand into a more diverse range of geochemical data and thus ensure continued open access to a FAIR database for future Earth science research. Resources DIGIS project website: http://digis.geo.uni-goettingen.de, Funded by German Research Foundation (DFG) through Scientific Library Services and Information Systems (LIS) programme DFG-AZ: WO 362/53-1

To understand the functioning of brains we must bridge many levels of analysis from molecules, cells and synapses to perception and behavior. Although experimental analysis is a precondition for understanding information processing by nervous systems, it is in no way sufficient. Rather, computer simulations help to tackle problems resulting from dynamics and complexity of nervous systems. It has become common scientific practice in the neural and cognitive sciences to investigate brain function by both experiments as well as model simulations.

The purpose of this study is to understand, compare, and contrast professional experiences, perceptions, and beliefs among personnel in academic libraries in the USA and in Germany, which may inform future library and librarian collaborations between the two countries. Notable findings include differences in: respondents’ professional backgrounds; services offered by, and perceived adequacy and support of, respondents’ libraries; and views of the library profession and its future.

Libraries have served as education and research infrastructures for centuries. In this paper, we will describe major opportunities and future challenges in the context of digital research and the »e-infrastructures« that are required for e-science. We will provide examples of current involvements and focus on the importance of cooperation at local, international, specifically European, and global scale. Bibliotheken fungieren seit Jahrhunderten als Bildungs- und Forschungsinfrastrukturen. In dem vorliegenden Aufsatz werden die Chancen und Herausforderungen von digitalen Forschungsumgebungen und von – fur die sogenannte E-Science benotigten – E-Infrastrukturen erortert. Es werden aktuelle Beispiele beschrieben; auserdem wird aufgezeigt, wie wichtig Kooperation auf lokaler, internationaler, speziell europaischer Ebene in diesem Zusammenhang ist.

Ein großer Bereich von Open-Access-Aktivitäten setzt beim nachhaltigen Betriebskonzept auf lokal verteilte, offene digitale Inhaltsspeicher in Bibliotheken und anderen Infrastruktureinrichtungen einer Institution. Inhalte werden also lokal vorgehalten - Wissenschaftlern soll aber selbstverständlich ein global umfassender Zugang auf Inhalte gewährt werden. Suchmaschinen wie OAISTER, BASE oder auch Google Scholar ermöglichen dies derzeit in einem ersten Schritt. Um aber das Potenzial eines verteilten, kooperativen Inhaltsmanagements tatsächlich auszuschöpfen und eine homogene Dateninfrastruktur zu etablieren, muss die lokale Datenhaltung hohen Qualitätsstandards genügen. Besonders in Europa arbeiten lokale Systeme daher in regionalen, nationalen oder internationalen Netzwerken zusammen, etwa DINI in Deutschland oder DRIVER in Europa. Eine homogene Dateninfrastruktur, die Inhalte im offenen Zugriff bereitstellt, ist die Voraussetzung dafür, dass über das Internet Mehrwertfunktionen für Wissenschaftler, etwa Annotation und Begutachtung oder Bearbeitung und Publikation aufgebaut werden können.

Libraries and archives around the world are acquiring new skills and applying the principles of library and archival sciences to solve challenges and provide new services related to research data management. Librarians are helping researchers address needs throughout the research data lifecycle, for example, by conducting assessments and outreach, consulting on data management plans and metadata, incorporating data into information literacy instruction and collection management, providing reference services to help patrons find and cite data, and providing data publication and preservation solutions. They are creating web guides and tutorials, training colleagues within and outside of the library, contributing to discussions related to research data including policy development and planning, and in some cases, participating directly with researchers on data-intensive projects.

Representations of optic flow are encoded in fly tangential neurons by pooling the signals of many retinotopically organized local motion-sensitive inputs as well as of other tangential cells originating in the ipsi- and contralateral half of the brain. In the so called HSE cell, a neuron involved in optomotor course control, two contralateral input elements, the H1 and H2 cells, mediate distinct EPSPs. These EPSPs frequently elicit spike-like depolarizations in the HSE cell. The synaptic transmission between the H2 and the HSE cell is analysed in detail and shown to be very reliable with respect to the amplitude and time-course of the postsynaptic potential. As a consequence of its synaptic input, the HSE cell responds best to wide-field motion, such as that generated on the eyes when the animal turns about its vertical body axis. It is shown that the specificity of the HSE cell for this type of optic flow is much enhanced if rapid membrane depolarizations, such as large-amplitude EPSPs or spike-like depolarizations, are taken into account rather than the average membrane potential.

The recently founded Collaborative Research Center (SFB) 882 "From Heterogeneities to Social Inequalities" at the University Bielefeld represents a framework for 17 sub-projects on social inequalities. With the promotion of a Virtual Research Environment (VRE) by the INF project (integral part of the SFB) advisory and developmental services in the domain of information infrastructure will be provided. The VRE combines both a work and a project-specific research platform. The work platform bundles IT resources by bringing together various tools for administration, project management, and time- and location-independent collaboration work in a single environment adapted to researcher's specific working processes. The research component combines data management with further developments of social science methodologies. It provides services for archiving and re-use of datasets and is responsible for the infrastructural and methodological coordination of the data documentation. Almost entire data life-cycle is documented by implementing and applying DDI3 across all projects. In this talk, we present the challenges and barriers in designing and building-up a VRE for the social sciences. We mainly focus on documentation aspects, especially on the unification of varying documentation requirements which came up. Additionally, various key issues of research collaboration, as an outcome of the user requirement analysis, will be discussed.

nbsp;Embedded in a trans-disciplinary strategy for the institutional research data management, the Data Service Center for Business and Organizational Data (DSZ-BO) is currently established at the Bielefeld University. The goal is to bridge the gap between data producers and data consumers by providing an infrastructural framework for the acquisition, standardization, preservation, dissemination and - if appropriate discovery and reuse - of scientific data. Beside the identification of the requirements and workflows within the sociological research, there is a technical challenge for developing a DDI3.x-based infrastructure which covers as many of the peculiarities in the description and management of quantitative/qualitative data and its metadata from (longitudinal) surveys. Furthermore, the description of organizational data is very complex and needs another focus of documentation, e.g. usage of controlled vocabularies for the classification of employers. In this presentation we will explain our multi-layer architecture for efficient storage, retrieval, presentation and enabling secondary analysis on the basis of DDI which are relative to DSZ-BO research problems. Furthermore generic add-on services will be considered which connect the data archive with a repository. This enables persistent identification and bidirectional linking of research data and publications as well as access rights management, versioning and data export functionalities.

Les partenaires internationaux du projet DRIVER ont commence d'ouvrir le chemin a une infrastructure partage et publique d'informations scientifiques en Europe. L'acronyme DRIVER veut dire "Digital Repository Infrastructure Vision for European Research". Dix partenaires de huit pays sont entres en cooperation afin de mettre en reseau d'abord plus de 50 memoires du savoir scientifiques diversifies, appeles "repositoires", d'universites et d'instituts de recherche. DRIVER construit ainsi un entourage d'essai pour soutenir le developpement d'une infrastructure scientifique basee sur l'internet a l'espace de recherche europeen. Le role des bibliotheques scientifiques en tant que garants de l'acces aux informations scientifiques dans le developpement progressif du monde digital sera realise pratiquement avec DRIVER.