| Source |
https://oden.geo.su.se/ |
| Last Updated |
May 26, 2021, 02:32 (UTC)
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| Created |
December 11, 2020, 16:19 (UTC)
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| Country |
Sweden |
| Data Management |
Research data should be managed in a way that makes them searchable, accessible, interoperable and reusable, in accordance with the FAIR Principles. A data management plan (DMP) contains information concerning how research materials are collected, organized, saved, made accessible and preserved during the entire research process and following the completion of a project. Documentation is a critical step in the planning phase where good practices for the management of research data and research results are established and secured. Drafting a DMP should be a natural part of the research process undertaken at the beginning of a research project, and the plan should be updated continually during the course of the work. For individual researchers, a DMP is an effective means of gaining control over how materials are managed, stored and located, as well as ensuring that the project is in compliance with current regulations and other legal and ethical considerations. It also serves to prepare materials for the archives once the project has been completed. DMPs can vary depending on the field of research, types of data used and potential specific requirements from funding bodies. A number of research funding bodies already have recommendations and, in some cases requirements, for DMPs. By 2019, all who receive grants from Swedish Research Council must have a data management plan. Research projects included in pilot projects for open research within the Horizon 2020 framework are expected to compose a DMP in accordance with their guidelines (PDF). Base Content of a DMP In addition to the central documentation below, a data management plan should contain basic administrative information such as project title, project manager, diary number or equivalent, date and version of DHP. Central parts that a data management plan should include: Data description and collection or re-use of existing data Documentation and data quality Storage and backup Legal and ethical requirements Accessibility and long-term storage Responsibility and resources The central parts above is based on “Core Requirements for Data Management Plans”, and is a partially reworked version produced by Swedish Research Council in collaborated with the Association of Swedish Higher Education Institutions, SUHF. |
| Data Policy |
Research that is fully or partially funded by public means should be publicly accessible and managed in accordance with internationally accepted principles as far as possible with regard to legal, ethical and (where applicable) commercial aspects. Stockholm University supports the international FAIR Data Principles,[1] according to which research data should be findable, accessible, interoperable and reusable. Making research data or information publicly accessible is valuable for validating research findings and allowing for the reuse of research to create new knowledge. The University supports the development of sustainable research infrastructures and services for research data management at the local, national and international level and participates in national and international contexts where new incentives and structures for open science are promoted. Stockholm University advocates making its research and research findings accessible through a research and study environment that facilitates, encourages and provides information on the practice of open science. Stockholm University should, based on applicable regulations, the EU’s data protection regulation (GDPR) and the requirements of research funding bodies, provide support to its researchers in managing and making research findings and research data accessible in accordance with good research practice. The University should provide an infrastructure in the form of services and resources that support and allow for the proper management, storage, accessibility and preservation of research data as an essential and natural part of the research process. The local infrastructure should develop continuously and comply with the regulations, the new data protection regulation and the formal guidelines advocated by the EU, the government, the Swedish Research Council, research funding bodies and other relevant actors. Stockholm University seeks to ensure that exclusive ownership rights to publish and reuse research data are not transferred to commercial scientific publishers.Documentation and metadata Metadata is crucial for making relevant shared information, discoverable and accessible to others. In short - metadata can be described as structured information, that describes a resource, such as research data or other publications. Metadata also clarifies and contextualizes documents/collections, making them searchable. Therefore, it is imperative to make time for filling in metadata fields when research data is being published in order to allow the information to be located and reused. The purpose of metadata is to facilitate automatic management and categorization of information. In order for this to function, created metadata must follow certain existing standards. Instead of documentation, which is legible for human users, metadata is required so that it is legible for computer software.What are the different kinds of metadata? Descriptive: Information concerning contents and context. This is used to enable others to cite the information using scholarly notation. Examples of descriptive metadata include: titles, authors, subject, keywords, abstracts, methodology, etc. Administrative: Information that allows the data to be categorized and correctly managed. Examples of administrative metadata are: file format, rights/licenses/copyright, preservation, etc. Structural: Structural metadata is necessary to organize the previous two categories. Examples of structural metadata are: persistent links (e.g. DOI or URN), relational data as to how separate files are associated with one another, etc. Metadata can be used for several purposes, such as: Citations: Creates the possibility for rewarding and recognizing those who have created the content. Reusability: In order to enable others to build upon research, they need to be able to easily understand how information has been structured. There must be a sufficient amount of metadata to allow another researcher to understand, for example - how data collection was performed and the meanings of different variables. Searching/Finding: So that others are able to find the information and verify that it is correct. Metadata needs to answer the questions: Who? What? Where? When? Why? How? Interpretation of data: By making it possible to understand how information was structured and collected, the data can be interpreted through different perspectives, thus more thoroughly evaluating the results. It is often also a great help for an author who wants to reuse their own data months or years later. |
| Data Sharing Principle |
Research that is fully or partially funded by public means should be publicly accessible as much as possible with regard to legal, ethical and (where applicable) commercial aspects. Making research data or information publicly accessible is valuable for validating research findings and allowing for the reuse of research to create new knowledge. Data that cannot be shared For certain legal, ethical or commercial reasons, it is not possible to share all data openly. It may, however, be possible to make the information searchable without granting access to the raw data. When can research data not be shared openly? If research data contain sensitive personal details or sensitive information. Bear in mind that non-sensitive personal details within the material can be published if made anonymous. If there is no written consent from participants in a study whereby they agree to open publication of results (documentation of this is required). If it includes materials to which someone else owns the copyright. If the material contains information which reveals proprietary or financial information. If the material has not undergone ethical vetting when such vetting is necessary. Even if the data to be shared falls into one of the categories above, it is still possible to publish information stating that the research data has been collected. Many data repositories offer the option to register only information about data using keywords and a description. It is recommended that contact information is included when registering the metadata so that users can send inquiries concerning the data made searchable. |
