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Registering DataCite DOIs for Awards

Using DataCite DOIs for awards This page provides general guidance on registering DataCite DOIs for awards, grants, and comparable entities. DataCite DOIs are suitable for a wide range of research outputs and resources, including awards and grants. Registering DOIs for awards and grants: Enables res...

Introduction to the DataCite REST API

About the DataCite REST API The DataCite REST API enables retrieval, creation, and update of DataCite DOI metadata records and account information. The API is generally RESTful and returns results in JSON (following the JSON:API specification). REST API Reference 📘 Access the REST API Reference to ...

RegisterDOI | Simplified DOI Registration for Publishers & Researchers

Get genuine Digital Object Identifiers (DOIs) for your research articles, journals, and publications through our trusted registration service.

Apache Calcite | Proceedings of the 2018 International Conference on Management of Data

As part of the Digital Library's transition to Open Access, new features for researchers are available in the Premium Edition. Click here to learn more.

Professionalising Community Management Roles in Interdisciplinary Research Projects

In this article we discuss community management in interdisciplinary research teams, focusing on recognising and professionalising roles referred to here as the Research Community Managers (RCM). Drawing insights and examples from research and data science projects, we discuss how RCM roles address some of the research’s most pressing challenges, from promoting best practices for open research and reproducibility to engaging diverse stakeholders in community-led research and ensuring fair recognition for their contributions. We offer a Community Maturation Indicator and share examples of projects from The Alan Turing Institute, the UK's national institute for data science and Artificial Intelligence (AI), where institutionally supported RCM roles were established. With the aim to integrate RCM expertise in teams involved in data science and AI research, we provide an RCM Skills and Competencies Framework. We also propose a roadmap for professionalising RCM roles by improving recognition and rewards, potential career paths and organisational support structures. To systematically sustain and progress these roles, we recommend institutional investment in establishing RCM teams that are empowered to prioritise collaboration, transparency and community-based approaches in interdisciplinary projects, such as in data science and AI. As a team, RCMs are well placed to connect disparate teams, initiatives and resources across the organisation, building more resilient research communities that can achieve greater innovation, improved project outcomes and a strongly connected ecosystem, with impacts extending beyond their narrow contexts.

Data Transfer Initiative

Home page for the Data Transfer Initiative, a nonprofit organization dedicated to promoting data transfers

Plan S

Plan S is an initiative for open-access science publishing launched in 2018[1][2] by "cOAlition S",[3] a consortium of national research agencies and funders from twelve European countries. The plan requires scientists and researchers who benefit from state-funded research organisations and institutions to publish their work in open repositories or in journals that are available to all by 2021.[4] The "S" stands for "shock".[5]

Democratizing Data

Democratizing Data builds a community-driven data ecosystem by identifying how datasets are used and reducing barriers to accessing high-quality public data. The initiative enhances the discoverability, usability, and relevance of data for researchers, policymakers, and stakeholder communities. A suite of tools and strategic partnerships supports this work by connecting users to the data, insights, and networks needed to inform decisions and generate impact.

New fellowship program connects SDIS students with real-world opportunities in data management - School of Data and Information Sciences

SDIS alumni leaders and the UNC Research Data Management Core are creating hands-on learning opportunities for master's students through a new research data management fellowship program.

The Research Nexus vision for a more connected scholarly community

Crossref envisions “a rich and reusable open network of relationships connecting research organizations, people, things, and actions; a scholarly record that the global community can build on forever, for the benefit of society”. This Research Nexus expands on the importance of research objects being persistently and uniquely identified. The scholarly community has an established practice of connecting things such as citations to others’ work and it is increasingly critical to identify relationships beyond citations, bringing together published work, unpublished work, institutions, individuals, and identifying the actions that they take e.g., funding, publishing, creating, modifying, citing, and sharing. The Research Nexus brings together metadata and relationships to build a joined-up picture of the scholarly ecosystem and helps everyone identify these relationships and how they change through time. This vision is possible if all parts of the scholarly ecosystem (and beyond) work together, including various scholarly infrastructure organizations.

GainForest — Biodiversity Observations & Nature Projects

Explore field observations, biodiversity records, and nature projects from communities and organizations using GainForest.

GainForest — Biodiversity Observations & Nature Projects

Explore field observations, biodiversity records, and nature projects from communities and organizations using GainForest.

GainForest — Biodiversity Observations & Nature Projects

Explore field observations, biodiversity records, and nature projects from communities and organizations using GainForest.

Crowdsourced Health Research Studies: An Important Emerging Complement to Clinical Trials in the Public Health Research Ecosystem

Background: Crowdsourced health research studies are the nexus of three contemporary trends: 1) citizen science (non-professionally trained individuals conducting science-related activities); 2) crowdsourcing (use of web-based technologies to recruit project participants); and 3) medicine 2.0 / health 2.0 (active participation of individuals in their health care particularly using web 2.0 technologies). Crowdsourced health research studies have arisen as a natural extension of the activities of health social networks (online health interest communities), and can be researcher-organized or participant-organized. In the last few years, professional researchers have been crowdsourcing cohorts from health social networks for the conduct of traditional studies. Participants have also begun to organize their own research studies through health social networks and health collaboration communities created especially for the purpose of self-experimentation and the investigation of health-related concerns. Objective: The objective of this analysis is to undertake a comprehensive narrative review of crowdsourced health research studies. This review will assess the status, impact, and prospects of crowdsourced health research studies. Methods: Crowdsourced health research studies were identified through a search of literature published from 2000 to 2011 and informal interviews conducted 2008-2011. Keyword terms related to crowdsourcing were sought in Medline/PubMed. Papers that presented results from human health studies that included crowdsourced populations were selected for inclusion. Crowdsourced health research studies not published in the scientific literature were identified by attending industry conferences and events, interviewing attendees, and reviewing related websites. Results: Participatory health is a growing area with individuals using health social networks, crowdsourced studies, smartphone health applications, and personal health records to achieve positive outcomes for a variety of health conditions. PatientsLikeMe and 23andMe are the leading operators of researcher-organized, crowdsourced health research studies. These operators have published findings in the areas of disease research, drug response, user experience in crowdsourced studies, and genetic association. Quantified Self, Genomera, and DIYgenomics are communities of participant-organized health research studies where individuals conduct self-experimentation and group studies. Crowdsourced health research studies have a diversity of intended outcomes and levels of scientific rigor. Conclusions: Participatory health initiatives are becoming part of the public health ecosystem and their rapid growth is facilitated by Internet and social networking influences. Large-scale parameter-stratified cohorts have potential to facilitate a next-generation understanding of disease and drug response. Not only is the large size of crowdsourced cohorts an asset to medical discovery, too is the near-immediate speed at which medical findings might be tested and applied. Participatory health initiatives are expanding the scope of medicine from a traditional focus on disease cure to a personalized preventive approach. Crowdsourced health research studies are a promising complement and extension to traditional clinical trials as a model for the conduct of health research.

Position paper: persistent identifiers in research infrastructure policy - Crossref

PIDs have become central to national and international open research strategies, but identifiers alone cannot deliver the connected, open record that researchers, institutions, funders, publishers, and policymakers depend on. Effective research infrastructure rests on three interdependent elements: open, persistent identifiers; rich, open, and linked metadata; and the sustainable governance and resilient operation of the organisations involved. Crossref urges policymakers to evaluate all three together.

Sometimes the most exciting discoveries happen by accident. While reading this thoughtful field report from GainForest https://lnkd.in/eihbfggg, I was reminded why I've been so impressed by the way… | Tricia Stapleton

Sometimes the most exciting discoveries happen by accident. While reading this thoughtful field report from GainForest https://lnkd.in/eihbfggg, I was reminded why I've been so impressed by the way they approach their work. Their commitment to accompanying community-based partners and building place-appropriate frameworks feels deeply aligned with the kind of infastructure many of us in bioregional work are striving for. Curious, I headed over to their website and interactive globe and zoomed into my own bioregion. Right there in Puerto Jiménez was a pin. I clicked to see which organization was connected to GainForest—and discovered it was us, Los Higuerones Opening the profile (see the screenshot below), I had one of those wonderful "aha" moments. Not only was it beautifully presented, but I realized the information had been pulled directly from our MaEarth project profile. Then another piece of the puzzle clicked into place: both MAEarth and GainForest are part of the HyperCerts Certified ecosystem. I thought to myself….This is what a truly networked movement does. It's more than interoperability between platforms. It's infrastructure for trust, visibility, and connection. It allows organizations doing meaningful local work to be discovered, recognized, and linked into a broader ecosystem in a way that is does not put a burden on the grassroots partners to make ourselves legible. And this sense of support is also what we experienced throughout the first 21 days of July—motivated, accompanied, and reflected as we engaged in the @Ma earth crowdfunding campaign Huge appreciation to Holke Brammer, @certified, Matthew Monahan and Ma Earth , GainForest.Earth team, and everyone building these interconnected systems. Thank you for creating the kind of infrastructure that strengthens credibility while supporting the people doing the work on the ground. This is the kind of network our bioregions need…stregnthening trust and collaboration within, between and among.🙏.