Inclusion at academic events is crucial for ensuring diversity, building networks, and avoiding academic siloing. Ten Simple Rules aim to raise awareness and provide actionable suggestions to support Equity, Diversity, and Inclusivity practices in academic events.

This is the initial v1.0.0 release of NASA’s Open Science 101 curriculum converted into Markdown from openscience101.org. The open science curriculum will introduce those beginning their open science journey to important definitions, tools, and resources; and provide participants at all levels recommendations on best practices.

SourceData a platform that allows researchers and publishers to share scientific figures and (when available) underlying source data in a way that is machine readable and findable.

The blog post highlights the integration of Bioschemas with the DataCite Metadata Schema to enhance metadata interoperability across various scientific disciplines. This collaboration aims to improve the findability and usability of life sciences data by standardizing metadata descriptions and facilitating cross-domain data sharing.

DataCite Metadata Training covering The DataCite Metadata Schema, DataCite metadata journey, Making connections with DataCite metadata

RDA/EOSC Future Domain Ambassador Spotlight- Sara El-Gebali, Life Science.

InterPro (http://www.ebi.ac.uk/interpro/) is a freely available database used to classify protein sequences into families and to predict the presence of important domains and sites. InterProScan is the underlying software that allows both protein and nucleic acid sequences to be searched against InterPro’s predictive models, which are provided by its member databases. Here, we report recent developments with InterPro and its associated software, including the addition of two new databases (SFLD and CDD), and the functionality to include residue-level annotation and prediction of intrinsic disorder. These developments enrich the annotations provided by InterPro, increase the overall number of residues annotated and allow more specific functional inferences.

The InterPro database (http://www.ebi.ac.uk/interpro/) classifies protein sequences into families and predicts the presence of functionally important domains and sites. Here, we report recent developments with InterPro (version 70.0) and its associated software, including an 18% growth in the size of the database in terms on new InterPro entries, updates to content, the inclusion of an additional entry type, refined modelling of discontinuous domains, and the development of a new programmatic interface and website. These developments extend and enrich the information provided by InterPro, and provide greater flexibility in terms of data access. We also show that InterPro’s sequence coverage has kept pace with the growth of UniProtKB, and discuss how our evaluation of residue coverage may help guide future curation activities.

The article from Science|Business highlights the hurdles to effective data sharing, despite the push for open science. These challenges include variations across disciplines, legal and ethical concerns, and insufficient incentives. The Research Data Alliance (RDA) is tackling these issues by promoting FAIR data principles, offering guidelines, and supporting researchers with training and infrastructure. The RDA also emphasizes the role of domain ambassadors in fostering cross-disciplinary collaboration and making data sharing more practical and appealing for researchers.

FAIR-IMPACT conducts workshops on mapping and crosswalks within the community, aiming to standardise the mapping process by identifying common components and approaches used in community practices. These workshops consist of practical sessions, presentations on initial experiences, and feedback regarding the framework, followed by applying the framework to mapping exercises. Semantic artefacts, such as ontologies and vocabularies, are crucial for data interoperability and implementing FAIR principles. FAIR-IMPACT focuses on making mappings shareable and reusable, elevating them to citizens in the FAIR data world. In previous FAIR-IMPACT workshops, we explored the motivation behind mappings and methodologies for making them FAIR. In this workshop, we aim to formalise a mapping process framework based on community practices and trial its implementation. Visit the official event page to watch the video recording https://fair-impact.eu/events/fair-impact-events/developing-mapping-process-framework.

Train-the-trainer handbook for making training materials FAIR

FAIR Digital Objects Forum, Diversity Statement & Participation Guidelines

Invited Presentation- Inclusion and Digital Equity from theory to practice delivered at ISCB2023.

Key note presentation at BOSC2023 https://www.open-bio.org/events/bosc-2023/bosc-2023-keynotes/

Presentation slides used during AAAS 2023 panel discussion session title- Foster Inclusion in Scientific Communities through Shared Data https://aaas.confex.com/aaas/2023/meetingapp.cgi/Paper/31052

BHKi Seminars- Bioinformatics, software engineering and Data Management- Data Management Planning 19th July 2022

Material for 1.5 hour workshop on FAIR principles with regards to software, and what is currently known, best practices for FAIRness.

Presentation for Open Science Pathways in the Earth, Space, and Life Sciences- https://www.scilifelab.se/event/agu-scilifelab/

Presentation on Open Science, FAIR principles, Research Data Management, FAIR Software, delivered during BOSSConf 2022

Materials for 1 full-day workshop on Research Data Management basics