EQIPD has obtained study reports for historical data from EFPIA partners, CROs and academic labs, and calculate the prevalence of reporting of measures to increase internal validity. An initial survey of available datasets suggests availability for the Irwin test (47 experiments), Morris Water Maze (69), Y/T mazes (50), prepulse inhibition (56), novel object recognition tasks (35), and sleep/wake (72) and circadian (37) EEG. For mroe information, please visit:

https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5c3dc043b&appId=PPGMS

The EQIPD Quality System (QS) is a flexible, fit for-purpose, lean and user-friendly quality management system for non-regulated drug discovery research. It includes guidelines, procedures & a certification system for preclinical research. The objective of the EQIPD QS is to support the essential processes, procedures, responsibilities and cultural aspects relevant to implement the guiding principles that improve robustness of preclinical studies (e.g. regulatory aspects, recommendations for publications and funding applications, etc). For more information, please visit:

General information: https://eqipd-toolbox.paasp.net/wiki/Toolbox
White paper: https://osf.io/ng32b

Further information about the EQIPD Quality System (why, what and how) can also be viewed in the following 4 short videos:

EQIPD intro Part 1: Why (https://www.youtube.com/watch?v=hOaCILTwcU4)
EQIPD intro Part 2: What (https://www.youtube.com/watch?v=bK6emsX5G1Y)
EQIPD intro Part 3: How (https://www.youtube.com/watch?v=D_Wl6kcs9vU)
EQIPD intro Part 4: Why Quality Matters (https://eqipd-toolbox.paasp.net/wiki/Why_quality_matters)

To disseminate aligned approaches to rigor in nonregulated applied research, academic and industry members of EQIPD have produced an open-access Handbook of Experimental Pharmacology volume dedicated to various aspects of good research practice.
For more information, please visit:
https://rd.springer.com/book/10.1007/978-3-030-33656-1

EQIPD is conducting a “living” systematic review to identify universally-applicable guiding principles and criteria governing rigour in the design, conduct, analysis and reporting of preclinical neuroscience and safety research. The living systematic review screens primary research in AD, with approximately 26,000 publications identified and 13,863 papers screened so far (updated October 2019). For more information, please see:

https://openscience.bmj.com/content/4/1/e100046

EQIPD has developed an online educational platform providing education and training in the principles and application of quality and rigour in preclinical studies, where there are currently a number of e-learning modules available. In addition, as part of EQIPD’s learning environment, EQIPD organizes an annual workshop in collaboration with the ECNP Preclinical Data Network. For more information, please visit: 

https://quality-preclinical-data.eu/learning-environment/eqipd-e-learning/

EQIPD has developed an assessment procedure that aims to confirm a research unit’s compliance with the EQIPD expectations about research rigor and data integrity. The EQIPD Quality Label can be awarded to both organizations with fully implemented Quality System (to indicate long-term maintenance of high-quality standards) and organizations meeting key expectations about research rigor and data integrity (to indicate current adherence to high quality standards to be maintained over short period of time required for a specific project or collaboration).

For more information, please contact: info@eqipd.online

EQIPD is developing guidance intended to support application of EQIPD quality standards in research projects involving core facilities.

For more information, please visit:

https://eqipd-toolbox.paasp.net/wiki/1.4.3.3_Academia-academia:_Research_as_service

EQIPD has developed a tool intended to support organizations that outsource nonregulated research activities. Using this tool, sponsors of research can select service providers based on adherence to good research practice criteria.

The tool can also be used by service providers (e.g., contract research organizations) to review various aspects of research rigor and data management that are important for the sponsors.

The tool has been successfully implemented on the Scientist.com and Science Exchange platforms, leading marketplaces for outsourced R&D activities.
(e.g., Scientist.com https://www.businesswire.com/news/home/20201201005416/en/Scientist.com-Expands-Award-Winning-Compliance-Platform-to-Include-International-Research-Consortium’s-Preclinical-Study-Standards and ScienceExchange https://blog.scienceexchange.com/2020/11/science-exchange-partners-with-joint-pharmaacademic-consortium-to-improve-research-reproducibility/).

EQIPD has developed guidance intended to improve the traceability and integrity of data obtained through research as part of an academic-industry collaboration. For more information, please visit:

https://eqipd-toolbox.paasp.net/wiki/1.4.3.2_Industry-academia:_Research_as_collaboration#Background

EQIPD has developed a Toolbox, an online wiki-based platform that intends to collect and disseminate all information (guidelines, tools, literature, web links, etc.) related to various aspects of research rigor.
The platform is open to any member of the research community to register and contribute information and resources.
Further information:
https://eqipd-toolbox.paasp.net/wiki/Toolbox

The project operating in the area of the preclinical data quality in neurosciences developed the database/data catalogue "Living Evidence AD", which can be used for pre-clinical Alzheimer’s disease (AD) decision modelling. The tool provides a summary of all transgenic drug testing studies in AD; it is therefore of value in informing scoping exercises where scientists or companies wish to contextualise their proposed research against what has gone before; and as a starting point (with the opportunity to download a bibliographic record of the search) for those wishing to conduct a systematic review.

https://camarades.shinyapps.io/LivingEvidence_AD/

EQIPD will establish an ontology for describing animal experiments, in compliance with FAIR data principles. For more information, please visit:

https://link.springer.com/chapter/10.1007%2F164_2019_277