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The process of sampling, observing and analyzing physical samples is not unique to the geosciences. Physical sampling (taking specimens) is a fundamental strategy in many natural sciences, typically to support ex-situ observations in laboratories with the goal of characterizing real-world entities or populations. Observations and measurements are made on individual specimens and their derived samples in various ways, with results reported in research publications. Research on an individual sample is often published in numerous articles, based on multiple, potentially unrelated research programs conducted over many years. Even high-volume Earth observation datasets are proxies of real world phenomena and require calibration by measurements made on position located, well described physical samples. Unique, persistent web-compatible identifiers for physical objects and related sampling features are required to ensure their unambiguous citation and connection to related datasets through web identifiers. Identifier systems have been established within specific domains (e.g., bio, geo, hydro) or different sectors (e.g., museums, government agencies, universities), including the International Geo Sample Number (IGSN) in the geosciences, which has been used for rock, fossil, mineral, soil, regolith, fluid, plant and synthetic materials. IGSNs are issued through a governance system that ensures they are globally unique. Each IGSN directs to a digital representation of the physical object via the Handle.net global resolver system, the same system used for resolving DOI. To enable the unique identification of all samples on Planet Earth and of data derived from them, the next step is to ensure IGSNs can either be integrated with comparable identifier systems in other domains/sectors, or introduced into domains that do not have a viable system. A registry of persistent identifier systems for physical samples would allow users to choose which system best suits their needs. Such a registry may also facilitate unifying best practice in these multiple systems to enable consistent referencing of physical samples and of methods used to link digital data to its sources. IGSNs could be extended into other domains, but additional methodologies of sample collection, curation and processing may need to be considered.

With the foundation of DataCite in 2009 and the technical infrastructure installed in the last six years it has become very easy to create citable dataset DOIs. Nowadays, dataset DOIs are increasingly accepted and required by journals in reference lists of manuscripts. In addition, DataCite provides usage statistics [1] of assigned DOIs and offers a public search API to make research data count. By linking related information to the data, they become more useful for future generations of scientists. For this purpose, several identifier systems, as ISBN for books, ISSN for journals, DOI for articles or related data, Orcid for authors, and IGSN for physical samples can be attached to DOIs using the DataCite metadata schema [2]. While these are good preconditions to publish data, free and open solutions that help with the curation of data, the publication of research data, and the assignment of DOIs in one software seem to be rare. At GFZ Potsdam we built a modular software stack that is made of several free and open software solutions and we established 'GFZ Data Services'. 'GFZ Data Services' provides storage, a metadata editor for publication and a facility to moderate minted DOIs. All software solutions are connected through web APIs, which makes it possible to reuse and integrate established software. Core component of 'GFZ Data Services' is an eSciDoc [3] middleware that is used as central storage, and has been designed along the OAIS reference model for digital preservation. Thus, data are stored in self-contained packages that are made of binary file-based data and XML-based metadata. The eSciDoc infrastructure provides access control to data and it is able to handle half-open datasets, which is useful in embargo situations when a subset of the research data are released after an adequate period. The data exchange platform panMetaDocs [4] makes use of eSciDoc's REST API to upload file-based data into eSciDoc and uses a metadata editor [5] to annotate the files with metadata. The metadata editor has a user-friendly interface with nominal lists, extensive explanations, and an interactive mapping tool to provide assistance to scientists describing the data. It is possible to deposit metadata templates to fill certain fields with default values. The metadata editor generates metadata in the schemas ISO19139, NASA GCMD DIF, and DataCite and could be extended for other schemas. panMetaDocs is able to mint dataset DOIs through DOIDB, which is our component to moderate dataset DOIs issued through 'GFZ Data Services'. DOIDB accepts metadata in the schemas ISO19139, DIF, and DataCite. In addition, DOIDB provides an OAI-PMH interface to disseminate all deposited metadata to data portals. The presentation of datasets on DOI landing pages is done though XSLT stylesheet transformation of the XML-based metadata. The landing pages have been designed to meet needs of scientists. We are able to render the metadata to different layouts. Furthermore, additional information about datasets and publications is assembled into the webpage by querying public databases on the internet. The work presented here will focus on technical details of the software stack. [1] http://stats.datacite.org [2] http://www.dlib.org/dlib/january11/starr/01starr.html [3] http://www.escidoc.org [4] http://panmetadocs.sf.net [5] http://github.com/ulbricht

Open Science is a broad movement looking beyond Open Access to publish openly and share scientific research immediately. Accessibility is addressed on all levels for everyone, without fees. Open Science not only deals with Open Access papers but scientific research results in general, including figures, data, models, algorithms, software, tools, notebooks, laboratory designs, recipes, samples and much more. Furthermore, it covers the communication, review, and discussion of research results and considers changing needs regarding incentives, quality assessment, metrics, impact, reputation, grants and funding. Thus Open Science encompasses licensing, policy-making, infrastructures and scientific heritage while safeguarding the dynamic nature of science and its evolving forms. However, this short course is meant not to carry too far with Open Science. Rather, it looks at what is possible nowadays and what is ready for application in geosciences. The speakers present open data solutions and introduce networks. It is aimed to create an idea on how researchers benefit from Open Science regarding research data. Both the drawbacks and opportunities of open data are outlined. This short course is the first part of the Short Course series 'Open Science goes Geo'. Part I covers research data and its role in the scientific work. The possibilities for publishing research data leveraging Open Science in geosciences are addressed, together with related opportunities and stumbling blocks. Moreover, the ways in which networks can support scientific collaboration on shared datasets are introduced.

Scientific software has become an indispensable commodity for the production, processing and analysis of empirical data but also for modelling and simulation of complex processes. Software has a significant influence on the quality of research results. For strengthening the recognition of the academic performance of scientific software development, for increasing its visibility and for promoting the reproducibility of research results, concepts for the publication of scientific software have to be developed, tested, evaluated, and then transferred into operations. For this, the publication and citability of scientific software have to fulfil scientific criteria by means of defined processes and the use of persistent identifiers, similar to data publications. The SciForge project is addressing these challenges. Based on interviews a blueprint for a scientific software publishing platform and a systematic implementation plan has been designed. In addition, the potential of journals, software repositories and persistent identifiers have been evaluated to improve the publication and dissemination of reusable software solutions. It is important that procedures for publishing software as well as methods and tools for software engineering are reflected in the architecture of the platform, in order to improve the quality of the software and the results of research. In addition, it is necessary to work continuously on improving specific conditions that promote the adoption and sustainable utilization of scientific software publications. Among others, this would include policies for the development and publication of scientific software in the institutions but also policies for establishing the necessary competencies and skills of scientists and IT personnel. To implement the concepts developed in SciForge a combined bottom-up / top-down approach is considered that will be implemented in parallel in different scientific domains, e.g. in earth sciences, climate research and the life sciences. Based on the developed blueprints a scientific software publishing platform will be iteratively implemented, tested, and evaluated. Thus the platform should be developed continuously on the basis of gained experiences and results. The platform services will be extended one by one corresponding to the requirements of the communities. Thus the implemented platform for the publication of scientific software can be improved and stabilized incrementally as a tool with software, science, publishing, and user oriented features.