Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
191
datasets available to search
ShareScore release 0.9.0
Dataset results
191 results for “Open Research”
Figure 2 from: Smith C, Todd M, Patiny L, Swain C, Southan C, Williamson A, Clark A (2016) SCINDR - The SCience INtroDuction Robot that will Connect Open Scientists. Research Ideas and Outcomes 2: e9995. https://doi.org/10.3897/rio.2.e9995
Figure 2 - Example of currently functioning Electronic Laboratory Notebook (ELN) entry to which SCINDR will be added. Further enhancements such as real time NMR, LCMS and IR data visualization have been developed and will be added to extend the ELN capability.
Figure 1 from: Lahti L, da Silva F, Laine M, Lähteenoja V, Tolonen M (2017) Alchemy & algorithms: perspectives on the philosophy and history of open science. Research Ideas and Outcomes 3: e13593. https://doi.org/10.3897/rio.3.e13593
Figure 1 Around 100 open science scholars and advocates joined the PHOS16 conference in Helsinki to discuss the philosophical and historical roots of the contemporary open science movement.
Data underlying research paper "Exploring potential contributions of open data intermediaries"
<p>This folder contains data underlying the research paper “Exploring the Contributions of Open Data Intermediaries for a Sustainable Open Data Ecosystem”. The research is about open data ecosystem and the role of open data intermediaries. <strong>The folder consists of 4 items</strong>:</p> <p>1. Tentative interview questions (.pdf and .odt formats)</p> <p>2. Informed consent form template (for verbal interview & written interview) (.pdf and .odt formats)</p> <p>3. De-identified interview transcripts (.pdf and .odt formats)</p> <p>4. Coding results (.pdf and .ods formats)</p> <p> </p> <p><strong>Note about the tentative interview questions:</strong></p> <p>The interviews were conducted between May and July 2023 based on the semi-structured approach. We customise the tentative interview questions accordingly for each interview and share them with the interviewees in advance (for the majority, at least three working days in advance). As semi-structured interviews, the ultimate interview questions may differ from the tentative questions based on the information provided by the interviewees and time constraints (refer to item #3).</p> <p> </p> <p><strong>Note about the informed consent form:</strong></p> <p>We sent the informed consent form to every interviewee in advance and requested them to return it to us before the interview. The consent form has been reviewed by TU Delft's Human Research Ethics Committee (HREC).</p> <p> </p> <p><strong>Note about the de-identified interview transcripts (and coding results):</strong></p> <p><u>The de-identified interview transcripts should be read in the context of the research on open data ecosystem and the role of open data intermediaries.</u> We removed personally identifiable information from the transcripts. A few interviewees may risk being identifiable if their organisation is known. Hence, we removed the identification of the organisation and country in all transcripts. Partially disclosing the organisation or country for some transcripts increases the risks of identifying the non-disclosed transcripts. With verbal communication, some sentences may be less incomprehensible in writing. Thus, we did minimal edits when transcribing to improve the comprehensibility where necessary, but the main objective was to keep the transcript as close to verbatim as possible. All interviewees whose interview transcripts are recorded in this document give permission for the anonymised transcript of their interview, with personally identifiable information redacted, to be shared in 4TU.ResearchData repository so it can be used for future research and learning.</p> <p> </p> <p><strong>Acknowledgement:</strong></p> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. The opinions expressed in this document reflect only the author’s view and in no way reflect the European Commission’s opinions. The European Commission is not responsible for any use that may be made of the information it contains.</p>
Figure 3 from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224
Figure 3 The spiral model - an open research lifecycle involves sharing of each step of the process, including not only scientific papers but also research ideas, data (raw and processed), metadata, methods, software (Minelli et al. 2017).
Figure 4a from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224
Figure 4a An extract from data collected since 1965 to today in the NAS. - snapshot of the organization of the main table of data
Figure 1 from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224
Figure 1 The LTER-Italy parent site "Northern Adriatic Sea". The four research sites that compose it, together with the fixed point observatories, are evidenced. 1: Gulf of Trieste and Mambo buoy, 2: Gulf of Venice and Acqua Alta Tower, 3: Po Delta and Romagna Coast and S1-GB and E1 buoys, 4: Senigallia-Susak Transect and TeleSenigallia Pylon (Minelli et al. 2018)
Figure 4c from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224
Figure 4c An extract from data collected since 1965 to today in the NAS. - 3D visualization of data from the viewpoint in b: the yellow grid represents the sea level, each set of vertical points represents more samplings relying on the same (X, Y) coordinates but at different depths (Z)
Figure 4b from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224
Figure 4b An extract from data collected since 1965 to today in the NAS. - 2D visualization of custom sampling stations (used from 1965 to 1990, before GPS advent) and real sampling points (until 2015)
Poster_YouTube_as_Source_of_Open_Data_for_Traffic_Safety_Research
Open the record for dataset details and reuse information.
Poster_Open_Science_&_Qualitative_Research
Open the record for dataset details and reuse information.
Poster_Open_Science_& Qualitative_Research
Open the record for dataset details and reuse information.
(re)Use Indications of High Energy Physics related Research Data and Software in CERN Open Data Portal
<p>This dataset contains High Energy Physics related research data and software (re)use indications (formal citations, informal mentions) in scholarly works. All research data and software resources were identified and extracted from CERN Open Data Portal. The (re)use indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. All identified research data and software (re)use indications were classified according to their purpose, location, and elements.</p> <p>The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.</p>
Figure 1 from: Schmidt S, Broad G, Stoev P, Mietchen D, Penev L (2013) The move to open access and growth: experience from Journal of Hymenoptera Research. Journal of Hymenoptera Research 30: 1-6. https://doi.org/10.3897/jhr.30.4733
Figure 1 - Annual number of published pages of Journal of Hymenoptera Research. The most recent two volumes (2011 and 2012) were published open access.
Figure 2 from: Mietchen D, Hagedorn G, Willighagen E, Rico M, Gómez-Pérez A, Aibar E, Rafes K, Germain C, Dunning A, Pintscher L, Kinzler D (2015) Enabling Open Science: Wikidata for Research (Wiki4R). Research Ideas and Outcomes 1: e7573. https://doi.org/10.3897/rio.1.e7573
Figure 2 - Prototype of the platform at the Center for Data Science of Paris-Saclay, where Wikidata identifiers are already used to link public data and public research data.
Figure 1 from: Mietchen D, Hagedorn G, Willighagen E, Rico M, Gómez-Pérez A, Aibar E, Rafes K, Germain C, Dunning A, Pintscher L, Kinzler D (2015) Enabling Open Science: Wikidata for Research (Wiki4R). Research Ideas and Outcomes 1: e7573. https://doi.org/10.3897/rio.1.e7573
Figure 1 - Outline of envisioned platform where Wikidata content can be used within an institutional firewall.
Figure 1 from: Wojnarski M, Hanken Kurtz D (2016) Paperity Central: An Open Catalog of All Scholarly Literature. Research Ideas and Outcomes 2: e8462. https://doi.org/10.3897/rio.2.e8462
Figure 1 - The network of scientific knowledge is composed of publications in its core (blue; typically connected by citation relationship) and collateral objects of various types (yellow) that represent context of each publication. In Paperity Central, core nodes will be stored as native objects with global permanent identifiers, fully searchable, browsable and wiki-editable. Collaterals will be represented either as native objects or as annotated links to external resources elsewhere on the web.
Figure 3 from: Wojnarski M, Hanken Kurtz D (2016) Paperity Central: An Open Catalog of All Scholarly Literature. Research Ideas and Outcomes 2: e8462. https://doi.org/10.3897/rio.2.e8462
Figure 3 - One of recent discussions on Twitter where a Paperity user asks for an API to build add-on services on top of Open Access literature.
Figure 2 from: Wojnarski M, Hanken Kurtz D (2016) Paperity Central: An Open Catalog of All Scholarly Literature. Research Ideas and Outcomes 2: e8462. https://doi.org/10.3897/rio.2.e8462
Figure 2 - Paperity Central will combine (1) automatic harvesting of "gold" and "green" OA literature with (2) manual wiki-edits by users: corrections/extensions to existing entries (grey stripes) or additions of new entries (grey box). Manual edits are more important for "green" than "gold" data, because of lower quality of "green" metadata as pulled from repositories, compared to "gold" data pulled from original sources (publisher websites). Paperity Central will also expose all the collected data to external applications through open APIs (3).
Supplementary material 1 from: Fahrer S, Heck T, Röwert R, Truan N (2022) From Theoretical Debates to Lived Experiences: Autoethnographic Insights into Open Educational Practices in German Higher Education. Research Ideas and Outcomes 8: e86663. https://doi.org/10.3897/rio.8.e86663
Stories on Open Educational Practices in German Higher Education
Open Research Data for "A New Framework for Evaluating Model Simulated Inland Tropical Cyclone Wind Fields"
<p>The (1) NOAA GFDL T-SHiELD outputs, (2) processed ASOS data, and (3) observation-based, theory-driven wind profiles data used in the manuscript "A New Framework for Evaluating Model Simulated Inland Tropical Cyclone Wind Fields". </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.