Make Data Count

The third release of the Data Citation Corpus incorporates data citations from the Aligning Science Across Parkinson’s (ASAP) initiative and enhancements to organization information.
 

DOI: 10.60804/ykf9-z968 We are pleased to share a new release for the Data Citation Corpus.

New release for the Data Citation Corpus

DOI: 10.60804/0sak-7g76  We are pleased to announce the launch of the ‘Implementing data evaluation in academia’ Working Group, a partnership between Make Data Count and HELIOS Open.

Announcing Make Data Count and HELIOS Open Collaboration: ‘Implementing data evaluation at institutions’ Working Group

Redivis

DOI 10.60804/1516-e177

 Blog post by Ian Mathews, CEO at Redivis, Zach Chandler, Director of Open Scholarship Strategy at Stanford University, Erin DeLaney, Head of Design at Redivis


 Analyze data citations for any repository by forking


 this analytical workflow


 on Redivis!

At Redivis, we believe that data-driven research should be accessible, reproducible, and as open as possible.

Analyzing the Data Citation Corpus on Redivis

DOI:10.60804/AGQD-PF50  We are thrilled to share that Make Data Count has been selected by SCOSS as essential open infrastructure for participation in its next funding cycle.

SCOSS selects Make Data Count as infrastructure essential to open science

The COUNTER Code of Practice for Research Data provided a key milestone in data evaluation practices by making it possible to report comparable usage counts across platforms. Over the last months, Make Data Count and COUNTER have collaborated to explore what a suitable direction would be for an update to the Code of Practice for Research Data, and we are now sharing our proposal to merge the Code of Practice for Research Data with COUNTER R5.1 for public consultation.

https://doi.org/10.60804/8hvp-e561


 This blog post is cross-posted on the COUNTER site.

The COUNTER Code of Practice for Research Data provided a key milestone in data evaluation practices by making it possible to report comparable usage counts across platforms.

Bringing the COUNTER Code of Practice for Research Data and COUNTER Release 5.1 together to enhance normalization

University of California Office of the President

Daniella Lowenberg

https://doi.org/10.60804/694N-YD75  The Make Data Count team has been working on various infrastructure and outreach projects focused on how to measure the reach and impact of research data.

Open Data Metrics: Lighting the Fire

First-of-its-kind aggregation brings together millions of data citations to advance understanding of data usage


 https://doi.org/10.60804/r14z-mw10

DataCite, in partnership with the Chan Zuckerberg Initiative (CZI), is delighted to announce the first release of the Data Citation Corpus.

DataCite launches first release of the Data Citation Corpus

Make Data Count Team

Daniella Lowenberg, Rachael Lammey, Matthew B. Jones, John Chodacki, Martin Fenner

DOI: 10.5281/zenodo.4701079

Data Citation: Let’s Choose Adoption Over Perfection

https://doi.org/10.60804/TPAK-S352  With Make Data Count now in its second year, the focus is shifting from building infrastructure to driving adoption of our open data-level metrics infrastructure.

Make Data Count &amp; Scholix Join FORCE(2018)s

https://doi.org/10.60804/3HWB-S535

 Crossposted from COUNTER on September 13, 2018

There is a need for the consistent and credible reporting of research data usage. Such usage metrics are required as an important component in understanding how publicly available research data are being reused.

COUNTER Code of Practice for Research Data Usage Metrics Release 1

https://doi.org/10.60804/N5R2-P643  The Make Data Count team is rapidly approaching the first release of standardized and comparable data level metrics (DLMs) on California Digital Library’s Dash and DataONE repositories. Resources on this release will be available shortly, but in the meantime the team would like to share updates on work completed in winter and our spring roadmap.

Make Data Count Update: Spring, 2018

https://doi.org/10.60804/8A5Y-KR76  Kicking off Love Data Week 2018, the Make Data Count (MDC) team is pleased to announce that the first iteration of our Code of Practice for Research Data Usage Metrics Release 1 has now been posted as a preprint. Beginning in June, members from the MDC team and COUNTER began conversations around what a standard for data usage metrics may look like.

Code of practice for research data usage metrics release 1

https://doi.org/10.60804/V609-3D16 Following our draft update and executive summary, Make Data Count and COUNTER are proud to release our first draft of a

 Code of Practice for Research Data

. This first iteration is meant to be a draft, and our goal is to receive input and feedback from the community. We ask that you please comment on and mark up the document with questions, suggestions, and/or overall feedback.

COUNTER Code of Practice for Research Data Draft 1

https://doi.org/10.60804/D1MF-EC47  As a research and scholarly communications community, we value methods to gauge the impact of research outputs, and we do this in the forms of citations and downloads. But, until now this has been limited to traditional journal publications, and scholarly research is much more than an article. Foremost, data play a major role in the research process and deserve to be valued as a first-class scholarly output.

COUNTER Code of Practice for Research Data Draft Update

DOI 10.60804/1nhk-qd72

 We have many great activities planned for the coming year, collaborating with individuals and organizations that share our drive to advance responsible data metrics and data evaluation.

Advancing data metrics in 2025!

Make Data Count is pleased to announce the Make Data Count Summit 2024, a two-day meeting dedicated to responsible data metrics and the evaluation of open data usage and impact.

https://doi.org/10.60804/zhtp-vs98

Make Data Count is pleased to announce the Make Data Count Summit 2024, a two-day meeting dedicated to responsible data metrics and the evaluation of open data usage and impact. The Make Data Count Summit 2024 will be held in London, UK on September 5-6 and will provide a forum for discussions about evidence-based data metrics and responsible assessment of open data.

Join us for the Make Data Count Summit 2024

DOI: 10.60804/GGJX-8650 The Generalist Repository Ecosystem Initiative (GREI) has as one of its objectives the implementation of open metrics. A consistent approach to data citations is an important step to drive meaningful metrics that provide visibility on data usage, signal the added value of data repositories and enable reporting on...

**Why data citations? **   Data citations are a useful measure to gain understanding on the use of research data. Data citations recognize the individual(s) or organization(s) that collected and shared the data, and researcher surveys regularly show that researchers value receiving citations to their dataset (see for example The State of Open Data report, or research by Kathleen Gregory and colleagues).

GREI recommendations to support consistent practices to collect, expose and aggregate citations to open data

This post has been cross-posted on the DataCite blog. https://doi.org/10.5438/fz2h-4092 A critical piece of open data infrastructure that has received insufficient attention is the evaluation of data usage. We still lack a clear understanding and a body of evidence on how data are being accessed, utilized, and incorporated into research...

https://doi.org/10.5438/fz2h-4092  A critical piece of open data infrastructure that has received insufficient attention is the evaluation of data usage. We still lack a clear understanding and a body of evidence on how data are being accessed, utilized, and incorporated into research activities.

Make Data Count Summit: The Time Is Now to Advance Data Metrics

Post by Make Data Count advisors Daniella Lowenberg and Jennifer Lin

DOI: 10.60804/asfb-f691 We are thrilled to announce the launch of our Kaggle competition “Make Data Count – Finding Data References”. Make Data Count (MDC) maintains an open corpus of data citations and this competition seeks state of the art AI advancements (including large language models (LLMs)) to identify mentions of data in papers AND contextualize the

Announcing Make Data Count’s Kaggle Competition

By: John Chodacki, Martin Fenner, Daniella Lowenberg https://doi.org/10.60804/NQ0Y-8T21 Today, Zenodo announced their intentions to remove the altmetrics.com badges from their landing pages–and we couldn’t be more energized by their commitment to

 open

infrastructure, supporting their mission to make scientific information open and free.

 “We strongly believe that metadata about records including citation data &amp;

Open Metrics Require Open Infrastructure

Anton Ninkov

https://doi.org/10.60804/EDDS-6583  By Kathleen Gregory and Anton Ninkov  *Data citations hold great promise for a variety of stakeholders. Unfortunately, due in part to a lack of metadata, i.e. about disciplinary domains, many of those promises remain out of reach. Metadata providers – repositories, publishers and researchers – play a key role in improving the current situation.  *  The potentials of data citations are many.

Data citations in context: We need disciplinary metadata to move forward

https://doi.org/10.60804/NKCP-PZ96  COUNTER is a non-profit organization supported by a global community of library, publisher and vendor members, who contribute to the development of the Code of Practice through working groups and outreach. COUNTER and MDC  are collaborating to develop and publish a Code of Practice for Research Data. This set of recommendations will focus on how data usage should be measured and reported.

COUNTER Code of Practice for Research Data

https://doi.org/10.60804/DBT4-CZ71  Make Data Count is a community hub for the development of metrics that can help us understand how data is used in research and policy activities. We reached out to Make Data Count community members for their views on data metrics and data evaluation. In this post, we share their perspectives on why understanding the use and reach of open data is important, and on their interest in Make Data Count.

Community perspectives on data metrics and data evaluation

DOI 10.60804/GAPH-5F57

 Views from Mike Thelwall, Professor of Data Science

Mike Thelwall, Professor of Data Science at the University of Sheffield, UK, has developed free software and methods for social media sentiment analysis and for systematically gathering and analyzing web and social web data.

Perspectives on the importance of best practices to incentivize data sharing and data recognition

DOI 10.60804/ZGJX-0K93

Over the last couple of months we have talked with meta-researchers about their work on data, and their perspectives on steps needed to better understand how datasets are used and inform responsible metrics for data.

The journey of data: Meta-researcher perspectives on data use and metrics

DOI: 10.60804/dqm7-9687  The Make Data Count Summit 2024 took place in London earlier this month. Over two days, we explored what areas of research infrastructure, practices, evidence and evaluation we need to focus on to advance data metrics and our understanding of the reach and impact of open data.

Evaluation, context and getting practical on data metrics: the Make Data Count Summit 2024

This week we are thrilled to welcome Clare Dean as Communications Consultant for Make Data Count. In this role, Clare will be supporting Make Data Count’s outreach and community engagement activities. Clare brings a wealth of experience working with organizations in scholarly communications and open science initiatives, but best to let her tell you about it. Here’s a brief introduction to Clare, in her own words. Welcome Clare!

Clare Dean

https://doi.org/10.60804/9aqp-4273

This week we are thrilled to welcome Clare Dean as Communications Consultant for Make Data Count. In this role, Clare will be supporting Make Data Count’s outreach and community engagement activities.

Welcoming Clare Dean as Communications Consultant for Make Data Count

https://doi.org/10.60804/WXZV-FX76  The Alfred P. Sloan Foundation has made a 2-year, $747K award to the California Digital Library, DataCite and DataONE to support collection of usage and citation metrics for data objects. Building on pilot work, this award will result in the launch of a new service that will collate and expose data level metrics.

Make Data Count:  Building a System to Support Recognition of Data as a First Class Research Output

https://doi.org/10.60804/R47Y-WQ12  Since 2014, the Make Data Count (MDC) initiative has focused on building the social and technical infrastructure for the development of research data metrics.

Igniting Change: Our Next Steps Towards Open Data Metrics

DOI: 10.60804/QNXH-9H83  Kicking off the year, we had the pleasure of announcing the first release of the Data Citation Corpus. In response to the multiple expressions of interest in learning more about the project and in using the data file for the corpus, we held a webinar dedicated to the Data Citation Corpus.

‘I would like to better identify citations for data’: Community feedback and use cases for the first release of the Data Citation Corpus

https://doi.org/10.60804/fkfy-1162  Make Data Count is a community hub for the development of metrics that can help us understand how data is used in research and policy activities. Several Make Data Count community members have given us their insights on the Data Citation Corpus, our project to build a central open aggregate of data citations.

Community perspectives on the Data Citation Corpus

https://doi.org/10.60804/FH8J-T722  Many publishers have implemented open data policies and have publicly declared  their support of data as a valuable component of the research process. But to give credit to researchers and incentivize behavior for data publishing, the community needs to promote proper citation of data.

Publishers: Make Your Data Citations Count!

DOI 10.60804/6a1z-rr79  At the recent Make Data Count Summit 2024, we had the opportunity to explore the insights that the Data Citation Corpus provides for institutions and funders. A large-scale open aggregate of data citations, the Data Citation Corpus currently stores 5 million citations collected via persistent identifier metadata and text mining of article content to identify mentions to datasets.

The Data Citation Corpus in practice: Perspectives from a funder and an institution

https://doi.org/10.60804/YC0V-QF31  *Crossposted from DataONE blog: https://www.dataone.org/news/new-usage-metrics *  Publications have long maintained a citation standard for research papers, ensuring credit for cited work and ideas. Tracking use of data collections, however, has remained a challenge.

DataONE Implements New Usage and Citation Metrics to Make Your Data Count

https://doi.org/10.60804/DSVA-TK18  Journal articles are the currency of scholarly research. As a result, we as a community, use sophisticated methods to gauge the impact of research and measure the attention it receives by analyzing article citations, article page views and downloads, and social media metrics. While imprecise, these metrics offer us a way to identify relationships and better understand relative impact.

Understanding the problem

https://doi.org/10.60804/CQWN-8V24 Following advice from our workshop attendees at RDA13, we invite you to join us for our spring webinar. Join us on

 May 8th at 8am PST/3pm GMT

as we demo our new aggregation services at DataCite and DataONE. This webinar is intended to spotlight the features and services we can build off of our central infrastructure such as aggregated usage and citations.

Save The Date: MDC Spring Webinar

DOI: 10.60804/yxna-f837  Libraries play an important role in driving adoption of open data, and they have an increasing focus on understanding dataset usage and impact. This information is key in order for institutions to gain information about the diverse research outputs contributed by their researchers, and to inform institutional strategy around research data management.

Leveraging data citations to respond to libraries’ data evaluation needs

DOI 10.60804/82EM-7E16

 Views from Kai Li, Assistant Professor, School of Information Sciences, University of Tennessee


 Please describe your previous research project(s) that related to data use, and the main findings from that research.

I was trained as a scientometrics researcher.

Perspectives on the challenges and opportunities for large-scale analyses on data use and data citations

DOI 10.60804/ZFGH-FP13 Perspectives from Nicolás Robinson-García Nicolás Robinson-García works in bibliometrics and research evaluation. His current research focuses on research contributions and how those are distributed across teams and in different research fields &#8211; see this preprint for his latest research on contributions based on the CRediT taxonomy. Nicolás has...

DOI 10.60804/ZFGH-FP13

 
 Perspectives from Nicolás Robinson-García
 

Nicolás Robinson-García works in bibliometrics and research evaluation. His current research focuses on research contributions and how those are distributed across teams and in different research fields – see this preprint for his latest research on contributions based on the CRediT taxonomy.

Applying nuance to our understanding of data metrics for evaluation

DOI: 10.60804/6msz-1759

 Views from Peter Cerda, Data Curation Specialist

Peter Cerda is a Data Curation Specialist for Workflows and Big Data with the library at the University of Michigan, Ann Arbor. He helps students and faculty deposit large, complex datasets into Deep Blue Data Repository;

Perspectives on data evaluation and assessment

Blog post by Iratxe Puebla and Maria Alejandra Tejada Gómez.

DOI: 10.60804/zb5q-qy55 The Make Data Count Summit last September brought together researchers, infrastructure providers and representatives across institutions, funding and policy areas to discuss data metrics and the responsible evaluation of data usage.

‘Policies that make data count’: data evaluation in funder and policy-making processes

Reese Richardson (Engineering Sciences and Applied Mathematics, Northwestern University), Iratxe Puebla (Make Data Count), Jason Portenoy (DataCite), Karen Gutzman (Galter Health Sciences Library, Northwestern University Feinberg School of Medicine) and Kristi Holmes (Galter Health Sciences Library and Northwestern University Clinical and Translational Sciences Institute, Northwestern University Feinberg School of Medicine)

DOI:

Opening Up Translational Science Data Impact Through the Data Citation Corpus

DOI: 10.60804/KKE3-6Q77    Marta Teperek is the Programme Leader for FAIR Data at Open Science NL. She is a researcher by training and obtained her PhD in epigenetics and developmental biology from the University of Cambridge.   Hans de Jonge is the Director of Open Science NL. He has worked at NWO since 2018. As a programme leader, he was responsible for various aspects of NWO’s open science policy.

Advancing recognition for FAIR and open data: NWO supports Make Data Count as essential infrastructure for open science

https://doi.org/10.60804/W4QJ-5Q08  Make Data Count (MDC) is convening a two-day summit dedicated to the evaluation of open data usage, reach, and impact.

Announcing the Inaugural MDC Summit

https://doi.org/10.60804/X35C-CS33 It’s been two exciting months since we released the first iteration of our data-level-metrics infrastructure.  We are energized by the interest garnered and questions we’ve received and we wanted to share a couple of highlights!

 July Webinar

Soon after launch we hosted a webinar on “How-To” make your data count.