The library operates in the pick-up place mode – more information.

Publishing of scholarly results

Publishing in the humanities has its specifics. For academics and doctoral students, we offer clear information on selected topics and a range of services that will make the publication of research results easier. Do not hesitate to contact us also with questions in areas not listed here.

Send a query Research evaluation at MU


Information Register of R&D results (RIV)

The library coordinates and facilitates the collection of publication records for the national Information Register of R&D results (RIV) for the entire MU Faculty of Arts. If you have a question about reporting records or another agenda related to RIV, please contact your faculty guarantor or write to us.

Instructions and methodological recommendations

What RIV is and what purpose it serves

  • is used to record the results of research, development and innovation supported from public funds
  • collects information on publications related to research proposals or projects
  • the submission of results to RIV is linked to the evaluation according to the 17+ Methodology, which is one of the basic conditions for the provision of institutional funds for research and development

Reporting of records

Data on results generated at MU are transferred to the Information Register of R&D results in bulk for the entire university at set dates. The Publications application in the MU Information System is used to record the results of scholarly activities. The individual results are entered into the application by the authors themselves. Each academic department has its guarantor who controls the results. Faculty RIV guarantor is in charge of the final review, training and support agenda.

Records submitted to RIV must comply with the formal rules defined by the R&D&I Council (RVVI). If the results reported are incorrect, false or incomplete, they may be excluded from the evaluation, or evaluated negatively.

Publications application in the IS MU RIV Help in IS MU


  • Creating outcome records in IS MU

    by January of the year of collection

  • Reviews of the records

    February to March

  • Transfer of data to MU Research & Development Office

    beginning of April

  • Nomination of results for Module 1 (evaluation of selected results)

    August to September

The most common mistakes

  • the result does not correspond to the definition according to the Definition of result types
  • the formal registration requirements described in the Publications application guidelines are not met
  • the field information is not detailed to the level of Detailed Ford (the code does not end with a zero)
  • articles are reported before inclusion in a specific year and issue of the journal (Early Access approach)
  • results indexed in WoS and Scopus are not identified (neither Scopus EID nor UT WoS or 999 as a provisional code are specified)
  • the correct method of financing is not selected for the project
Author identifiers

Author identifiers

Author identifiers are used to uniquely identify the authorship of publication results. They are
part of the applications of some grant and project agencies (e.g., GAČR), they facilitate the
monitoring of an author’s publishing activities and are used by some publishers and
repositories. We offer an overview of the most common identifiers and will be pleased to help
you with creating them.



Researcher ID (Publons)

Scopus Author ID

Manner of ID generation




Matching of publications with ID




Supported platforms for matching results

different (WoS, Scopus, arXiv, etc.)

only Web of Science

only Scopus

Prerequisite for assigning an identifier


at least one record in WoS

at least two records in Scopus

The option to create an author’s portfolio




More information 


  • a standardized unique permanent digital researcher identifier, managed by the ORCID non-profit organization 
  • the assigned ID is linked to a person; when you change your name, institution or country you can update the relevant information in your ORCID profile while keeping the original ID and previous results
  • the format of the identifier complies with the ISO 27729 international standard specifying the International Standard Name Identifier (ISNI)
  • offers automatic pairing of records with trusted systems of your choice (e.g., university repository) and full control over profile management
  • the profile is automatically updated after entering the ID for the new result
  • indexing for instance in Scopus, Web of Science, WorldCat

Registration (PDF) Assignment of Research Outputs (PDF)

Researcher ID (Publons)

  • standardized unique permanent digital researcher identifier, managed by the Publons (Clarivate Analytics Group) commercial organization
  • the assigned ID is linked to a person; when you change your name, institution or country you can update the relevant information in your Publons profile while keeping the original ID and previous results
  • offers manual matching of records from the Web of Science database

Registration (PDF) Claiming records (PDF)

Scopus Author ID

  • standardized unique permanent digital researcher identifier, managed by the Scopus database (Elsevier Group)
  • the assigned ID is linked to a person; when you change your name, institution or country you can update the relevant information in your AuthorID profile while keeping the original ID and previous results
  • is created automatically when the publication is entered in the database 
  • results are assigned automatically and can be managed

Searching for Author ID (PDF)

Predatory journals

Predatory journals

Predatory journals use the open access model and publish articles for a fee. They usually have insufficient review procedures, fictional editorial boards as well as other attributes to give them apparent credibility. If you are not sure whether you have come across a predator, contact us.

Characteristics of predatory journals

  • Fictitious members of the editorial board.
  • Very short or no review procedure.
  • Incomplete information about publication fees; information is often provided only after accepting the article.
  • Sending spam: invitation to the editorial board / conference, call for papers.
  • False information about indexing in databases (WoS, Scopus, ERIH +, DOAJ).
  • They use misleading metrics. Made-up metrics to give the impression that the journals are of high quality.

How to defend against predators

  • Is the journal indexed in WoS, Scopus, ERIH + or DOAJ databases?
  • Does the journal have a clearly described peer review process?
  • Are affiliation data provided for the editorial board?
  • Assess the quality of articles as experts in the field.
  • Ask colleagues if they know the journal.
  • Publish in a verified journal.
Open Science

Open Science

The field of open science currently focuses mainly on open access to publications (Open Access) and the sharing of research data in compliance with the FAIR principles. Open access or creation of a Data Management Plan may be defined as one of the project conditions. We offer support in the form of consultations or training for departments or research teams.

Open Science at MU

What FAIR data are

The abbreviation FAIR indicates four principles that data should comply with. Open access is not a requirement here—not all data can be made available, for example sensitive data. An important principle is also the right of first use belonging to the researcher or team that collected the data.

  • Findable – easily searchable by humans and machines: stored in a suitable repository and described using high-quality metadata 
  • Accessible – clear information on the conditions and possibilities of using the data is provided
  • Interoperable – data are stored in an open and standardized format and described using controlled dictionaries 
  • Reusable – metadata sufficiently describe the context of the data: their licence, origin, method of collection, explanation of abbreviations, naming and structure of files, SW used…

FAIR principles in detail

What a Data Management Plan is

A document describing the handling of data during a research project required by some funding providers (e.g., Horizon 2020 projects). The specific wording of individual points varies depending on the support provider, but the basic areas are:

  • data collection,
  • description of data (documentation and metadata),
  • legal and ethical issues,
  • method of storage and access, 
  • a plan for deleting or long-term preservation of data,
  • data sharing plan,
  • determining the responsibility for each area.

Useful links

    • DOAJ: A directory of open access journals.
    • DOAR: A directory of open access repositories for data storage.
    • MU Repository: Suitable for storing publications.
    • Zenodo: A repository for storing any type of file that is not restricted to any specific field.
    • Open Science Framework (OSF): A platform for working with research data throughout the research process, including possible publication.
    • DMPonline: A freely available tool for creating Data Management Plans.

You are running an old browser version. We recommend updating your browser to its latest version.

More info